AI & Technology Course Catalog
Explore our comprehensive program catalog: Find the ideal course using advanced filters and level settings.
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Computer Vision
Comprehensive Computer Vision training ranging from classical image processing techniques to PyTorch-based CNN, Vision Transformer (ViT), Swin Transformer, and ConvNeXt architectures. Hands-on coverage includes object detection with YOLO and DETR, segmentation with SAM and U-Net, video analysis, 3D vision (NeRF, Gaussian Splatting), Diffusion models, and model deployment with ONNX/TensorRT.
- Live Course
- 13 modules
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Digital image basics, filtering and feature extraction with OpenCV, the classification/detection/segmentation task types and a first prototype with pretrained models, for technical teams scoping computer vision use cases.
- Live Course
- 5 modules
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CNN architectures (ResNet, EfficientNet, ConvNeXt) in PyTorch, transfer learning, data augmentation and training loops, for developers and data scientists who need to train and evaluate image models on company data.
- Live Course
- 5 modules
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Self-supervised learning (DINOv2), vision foundation models (SAM 2, Grounding DINO), synthetic data, active learning and large-scale training, for experienced computer vision engineers tackling hard production problems.
- Live Course
- 5 modules
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Object detection and instance segmentation with YOLO, RT-DETR and Mask R-CNN: labelling, training, mAP-based evaluation and tracking integration, for teams building an end-to-end detection/segmentation prototype.
- Live Course
- 5 modules
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Computer Vision Bootcamp
Comprehensive Computer Vision Bootcamp ranging from classical image processing techniques to PyTorch-based CNN, Vision Transformer (ViT), Swin Transformer, and ConvNeXt architectures. Hands-on projects cover object detection with YOLO and DETR, segmentation with SAM and U-Net, video analysis, 3D vision (NeRF, Gaussian Splatting), Diffusion models, and model deployment with ONNX/TensorRT.
- Live Course
- 13 modules
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Semantic, instance and panoptic segmentation: pixel-level training with U-Net, DeepLabV3+, SegFormer, Mask2Former and SAM 2, Dice/mIoU evaluation and mask-based measurement, for industrial, medical and satellite imagery teams.
- Live Course
- 6 modules
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ViT, DeiT, Swin and DINOv2 architectures: patch embedding, self-attention, comparison with CNNs and fine-tuning with Hugging Face, for engineers selecting and adapting transformer-based models for vision tasks.
- Live Course
- 5 modules
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Document preprocessing, text recognition, layout analysis and table/form extraction with PaddleOCR, Surya, LayoutLMv3 and Donut, for technical teams turning invoices, contracts and operational documents into structured data.
- Live Course
- 5 modules
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RTSP video streams, GStreamer/FFmpeg, real-time detection, multi-object tracking with ByteTrack/BoT-SORT, speed/crowd analytics and NVIDIA DeepStream, for teams extracting live operational insights from camera networks.
- Live Course
- 5 modules
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Human action, ergonomics and anomaly detection with 3D CNNs (SlowFast, X3D), VideoMAE/TimeSformer and skeleton-based models (MMPose, ST-GCN), for teams building workplace safety, assembly-line and behaviour analysis systems.
- Live Course
- 5 modules
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Shared embedding spaces with CLIP/SigLIP, Qwen2.5-VL, LLaVA and InternVL architectures, visual QA, multimodal RAG and QLoRA fine-tuning, for engineers building systems that reason across images and text.
- Live Course
- 5 modules
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Surface defect detection on production lines, unsupervised anomaly detection with anomalib (PatchCore, PaDiM, EfficientAd), industrial camera/lighting design and PLC integration, for quality and manufacturing engineering teams.
- Live Course
- 5 modules
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Inpatient fall prevention, ICU monitoring, hand-hygiene and PPE compliance, operating-room instrument counting and privacy-preserving edge anonymisation, for hospital digital transformation and healthtech teams.
- Live Course
- 5 modules
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DICOM/NIfTI processing, 2D/3D lesion and organ segmentation on CT/MRI/X-ray with MONAI and nnU-Net, whole-slide pathology (WSI) analysis and clinical validation, for medical imaging and biomedical AI teams.
- Live Course
- 5 modules
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Reception and lobby queue/crowd analytics, buffet tray replenishment and food-waste measurement, car-park ANPR, pool/facility safety and privacy-compliant anonymous analytics, for hospitality technology teams.
- Live Course
- 5 modules
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Model conversion with ONNX Runtime, TensorRT, OpenVINO and TFLite, INT8 quantization, camera pipelines on NVIDIA Jetson and Raspberry Pi, GStreamer and OTA updates, for teams running vision models at low latency in the field.
- Live Course
- 5 modules
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Knowledge distillation, structured pruning, Quantization-Aware Training (QAT), NAS and Torch-TensorRT profiling, for engineers shrinking and accelerating large computer vision models with minimal accuracy loss.
- Live Course
- 5 modules
Complete Training Catalogue Directory
Browse all training programs directly across our 7 core tracks and 60 specialized categories.
Non-Technical AI Training 8 categories · 129 courses
AI Literacy & Generative AI (17) →
- AI in Business Processes: Future AI Workflows (12 hours)
- AI Literacy for Organizations (12 hours)
- Generative AI in Business (12 hours)
- Generative AI Fundamentals (12 hours)
- Mastering Everyday AI Productivity Tools (12 hours)
- AI-Powered Research and Knowledge Synthesis (12 hours)
- AI-Assisted Document and Report Writing (12 hours)
- AI-Powered Data Analysis and Business Insights (12 hours)
- AI-Powered Presentations and Visual Content Creation (12 hours)
- AI Horizons (2 hours)
- AI for Meeting Productivity and Action Management (12 hours)
- Verifying and Auditing AI Outputs (12 hours)
- Preventing AI Hallucinations and Source Grounding (12 hours)
- Data Privacy and Safe AI Usage (12 hours)
- Human-in-the-Loop Governance and AI Accountability (12 hours)
- Deepfake and AI-Powered Fraud Awareness (12 hours)
- EU AI Act Article 4 AI Literacy and Compliance (12 hours)
Prompt & Context Engineering (14) →
- Prompt Engineering Fundamentals (18 hours)
- Applied Prompt Engineering for Business Workflows (18 hours)
- Advanced Prompt Engineering and Reasoning Architectures (18 hours)
- Persona, Instruction, and Structured Output Templates (12 hours)
- Multi-Step Prompt Chaining and AI Workflows (12 hours)
- Context Engineering for Enterprise AI (18 hours)
- Enterprise Knowledge Curation and Context Management for AI (12 hours)
- Working with Long Documents and Large Context Windows (12 hours)
- Structured Research and Analytical Prompting Frameworks (12 hours)
- Prompt Testing, Evaluation (Evals), and Quality Assurance (12 hours)
- Building and Governing Reusable Corporate Prompt Libraries (12 hours)
- Prompt Security, Injection Defense, and Guardrails (12 hours)
- Confidentiality, IP Protection, and Data Sharing Rules in AI Prompting (12 hours)
- Prompt Engineering (18 hours)
AI for Executives & Strategic Leadership (18) →
- AI for Executives
- Executive AI Leadership Program (Advanced) (18 hours)
- AI Strategy and Transformation Leadership (12 hours)
- AI Readiness and Organisational Maturity Assessment (24 hours)
- AI Project Management for Managers (12 hours)
- MLOps and LLMOps for Managers (12 hours)
- AI Use Case Portfolio Management and Discovery (12 hours)
- KPI and ROI Measurement for AI Investments (12 hours)
- AI Build, Buy or Partner Decision Framework (12 hours)
- AI Roadmapping and Strategic Prioritisation (12 hours)
- Cloud LLM APIs vs. On-Premise Models: Cost, Risk and Regulation (12 hours)
- Executive AI Decision Workshop (6 hours)
- AI FinOps: Token Economics, Budgeting and Unit Cost Management (12 hours)
- AI Operating Model Design (12 hours)
- Building and Running an AI Center of Excellence (AI CoE) (12 hours)
- Change Management in AI Transformation (12 hours)
- AI Steering Committee Governance and Decision Support (12 hours)
- AI Project Management with PMI-CPMAI Methodology (12 hours)
AI Adoption & Workforce Transformation (12) →
- AI Champions Enablement Programme (18 hours)
- Enterprise AI Assistant Rollout and Adoption Programme (12 hours)
- Building and Managing an Internal AI Community of Practice (12 hours)
- AI Adoption Metrics and Usage Analytics (12 hours)
- Strategic Workforce Transformation in the Age of AI (12 hours)
- Task-Level AI Impact Analysis and Role Redesign (12 hours)
- AI Competency Mapping and Skills Taxonomy Design (12 hours)
- AI Reskilling and Upskilling Roadmap Design (12 hours)
- Managing Human–Agent Hybrid Teams (12 hours)
- Task Delegation to AI Agents, Output Auditing and Escalation (12 hours)
- Performance Management and Accountability in the Age of AI (12 hours)
- Preventing Skill Atrophy and Fostering Critical Thinking with AI (12 hours)
Role-Specific AI Training (17) →
- AI for Project Managers (18 hours)
- AI for Project Team Members (12 hours)
- AI for Business Analysts (12 hours)
- AI for Product Managers (18 hours)
- AI for Sales Teams (12 hours)
- AI for Marketing Teams (12 hours)
- AI for Customer Experience (CX) Teams (12 hours)
- AI for Finance Professionals (12 hours)
- Generative Engine Optimization (GEO) and AI Search Visibility (12 hours)
- AI for HR and Learning & Development (L&D) Teams (12 hours)
- AI for Operations and Supply Chain Teams (12 hours)
- AI for Legal and Compliance Teams (12 hours)
- AI for Procurement Teams (12 hours)
- AI for Corporate Trainers and Facilitators (12 hours)
- AI for IT Operations and Service Management Teams (12 hours)
- AI for Internal Audit, Risk and Internal Control Teams (12 hours)
- AI for Field Operations and Technical Service Teams (12 hours)
Industry-Specific AI Programmes (18) →
- Generative AI in Banking and Finance: Regulation-Compliant Use Cases (12 hours)
- AI in Insurance: Underwriting, Claims and Distribution (12 hours)
- AI for Payment Institutions and FinTech Companies (12 hours)
- AI Governance and Compliance Under BDDK, SPK, MASAK and KVKK (12 hours)
- AI in Manufacturing and Industrial Operations (12 hours)
- AI in Retail and E-Commerce (12 hours)
- AI in Logistics, Freight and Supply Chain Operations (12 hours)
- AI in the Energy Sector: Generation, Trading and Distribution (12 hours)
- AI in Telecommunications: Network, CVM and Contact Centre (12 hours)
- AI in Healthcare, Hospital Operations and Life Sciences (12 hours)
- AI in Tourism, Hospitality and Travel Operations (12 hours)
- AI in Banking and Financial Services: Strategy, Analytics and Operations (12 hours)
- AI in Manufacturing: Quality Control, Predictive Maintenance and Optimization (12 hours)
- AI in Automotive, OEM/Tier-1 Supply Chain and Mobility (12 hours)
- AI in Energy Grids, Utilities and Critical Infrastructure (12 hours)
- AI in Parcel Delivery, Courier and Last-Mile Operations (12 hours)
- AI in Retail and Commerce: Demand Forecasting, Inventory and CX Use Cases (12 hours)
- AI in Professional Services, Consulting and Advisory Firms (12 hours)
AI Use Cases & Business Transformation (13) →
- AI Use Case Discovery: Finding High-Value Business Opportunities (12 hours)
- Identifying AI Opportunities in Business Processes (12 hours)
- Problem Framing and Decision Point Mapping for AI Projects (12 hours)
- Data Readiness and Dependency Analysis for AI Use Cases (12 hours)
- AI Business Value and Feasibility Assessment (12 hours)
- AI Use Case Risk and Compliance Screening (12 hours)
- AI Use Case Prioritisation Matrix and Portfolio Sequencing (12 hours)
- Designing KPIs and Success Criteria for AI Initiatives (12 hours)
- AI PoC and Pilot Design: From Hypothesis to Field Validation (12 hours)
- AI Project Lifecycle Management: From Discovery to Production Operations (12 hours)
- AI-Powered Business Process Redesign and Target Operating Model (12 hours)
- Post-Pilot AI Scaling Decisions: From Pilot to Enterprise Rollout (12 hours)
- Enterprise AI Readiness Assessment and Maturity Roadmap (12 hours)
Responsible AI & AI Governance (20) →
- Responsible AI Principles and Operational Practice (12 hours)
- AI Ethics, Safety and Security Risk Awareness for Leaders (12 hours)
- Enterprise AI Governance Framework and Operating Mechanisms (12 hours)
- Drafting and Implementing Corporate AI Policies (12 hours)
- AI Governance Roles, RACI and Three Lines of Defence (12 hours)
- AI Risk Classification and Tiered Control Mapping (12 hours)
- EU AI Act Compliance and Corporate AI Literacy (Article 4) (12 hours)
- Data Privacy (KVKK/GDPR) and Intellectual Property in AI Projects (12 hours)
- Third-Party AI Vendor, Foundation Model and Agent Risk Management (12 hours)
- Human-in-the-Loop Process Design and Effective AI Oversight (12 hours)
- Algorithmic Bias, Fairness and Explainability (XAI) for Governance (12 hours)
- AI Audit and Internal Control Framework (12 hours)
- AI Traceability, Audit Logging and Incident Response Management (12 hours)
- ISO/IEC 42001 AI Management System (AIMS) Implementation (12 hours)
- ISO/IEC 42001 Internal Auditor Training for AI Management Systems (12 hours)
- AI Risk Management with the NIST AI RMF (Govern, Map, Measure, Manage) (12 hours)
- Integrating ISO/IEC 42001 (AIMS) with ISO/IEC 27001 (ISMS) (12 hours)
- ISO/IEC 42005 AI System Impact Assessment and FRIA Practice (12 hours)
- Governing Generative AI Risks with NIST AI RMF and NIST AI 600-1 (12 hours)
- Shadow AI Discovery, SaaS AI Controls and Safe Enablement (12 hours)
Applied AI Training 8 categories · 110 courses
AI-Powered Productivity (14) →
- AI-Assisted Document and Report Writing (12 hours)
- AI-Powered Business Research and Deep Research Tools (12 hours)
- AI-Powered Presentation Design (12 hours)
- AI for Excel, Spreadsheet and KPI Analysis (12 hours)
- AI for Decision Support and Scenario Analysis (12 hours)
- Canva AI and Magic Studio for Business Content (12 hours)
- AI for Corporate Communications and PR (12 hours)
- AI-Driven Content Creation and Repurposing (12 hours)
- No-Code AI Applications for Business Teams (12 hours)
- From Prompt to Live Website and Web App with Lovable (12 hours)
- Productivity with Microsoft 365 Copilot (Word, Excel, Outlook, Teams) (12 hours)
- Enterprise AI Assistants for Productivity (ChatGPT, Gemini, Claude) (12 hours)
- Role-Based Enterprise AI Playbooks and Prompt Libraries (12 hours)
- AI for Meeting Management, Action Tracking and Project Coordination (12 hours)
AI Automation & Intelligent Workflows (16) →
- Introduction to Workflow Automation (12 hours)
- Process Mapping and Optimisation for Automation (12 hours)
- AI-Powered Workflow Automation (12 hours)
- Intelligent Workflows with Large Language Models (LLMs) (12 hours)
- Intelligent Document Processing (IDP) and Workflow Automation (12 hours)
- Automated Email and Ticket Triage with AI (12 hours)
- AI Workflow Automation for Marketing and Sales Teams (12 hours)
- AI Workflow Automation for HR and Internal Operations (12 hours)
- API and Webhook-Driven Automation Workflows (12 hours)
- CRM, ERP and Enterprise System Integrations (12 hours)
- Automated Reporting and AI Executive Narratives (12 hours)
- Enterprise Knowledge Workflows and Information Routing (12 hours)
- Human-in-the-Loop (HITL) Workflow Design (12 hours)
- Error Handling, Retries and Resilient Workflow Design (12 hours)
- Logging, Tracing and Observability for AI Workflows (12 hours)
- Secure Architecture for AI and Workflow Automation (12 hours)
Automation Platforms: n8n, Power Platform & Copilot Studio (15) →
- Introduction to n8n (12 hours)
- Advanced n8n (12 hours)
- AI Automations with n8n (12 hours)
- Applied Prompt Engineering with n8n (18 hours)
- Business Process Automation with n8n (12 hours)
- n8n for IT Operations (12 hours)
- n8n for DevOps (12 hours)
- Microsoft Power Platform Fundamentals (12 hours)
- Building Canvas Apps with Power Apps (12 hours)
- Building External Portals with Power Pages (12 hours)
- Power Automate for Analysts and Developers (12 hours)
- Integrating Azure with Microsoft Power Platform (12 hours)
- Microsoft Copilot Studio Fundamentals (12 hours)
- Copilot Studio: Generative AI and Autonomous Agents (12 hours)
- Fast and Practical Automations with Zapier (12 hours)
AI Agent Systems & Autonomous Workflows (13) →
- AI Agent Fundamentals (12 hours)
- Agentic AI for Business Leaders (12 hours)
- Tool-Using AI Agents: Function Calling in Practice (12 hours)
- Agentic Workflow Design (12 hours)
- Building Autonomous AI Agents with LangGraph and Agent SDKs (12 hours)
- Agent Planning and Execution Loops (12 hours)
- Agent Memory and Context Engineering (12 hours)
- Multi-Agent Systems Architecture and Orchestration (12 hours)
- Human-in-the-Loop AI Agents (12 hours)
- Enterprise System Integration with Model Context Protocol (MCP) (12 hours)
- Designing Reusable AI Agent Skills and Playbooks (12 hours)
- AI Agent Evaluation, Benchmarking and Quality Assurance (12 hours)
- AI Agent Security, Identity and Authorization (12 hours)
Multimodal & Conversational AI (19) →
- Multimodal AI Models: Text, Vision, Audio and Video (12 hours)
- Designing and Building Multimodal AI Applications (12 hours)
- Visual Document Intelligence and Extraction with AI (12 hours)
- Multimodal RAG: Indexing and Retrieval Across Text, Tables and Visuals (12 hours)
- Conversation Design for AI Assistants and Voice Agents (12 hours)
- AI Customer Service Agents and Contact Centre Transformation (18 hours)
- Voice AI Systems: STT, TTS and Conversational Audio Pipelines (12 hours)
- Building Real-Time Multimodal and Voice Assistants (12 hours)
- Computer Use Systems: Screen-Based AI Agent Architecture (12 hours)
- UI-Using Agents and Browser Automation (12 hours)
- Human Confirmation, Agency and UI Safety in AI Agents (12 hours)
- User Experience, Trust and Safety Testing for Interactive AI Agents (12 hours)
- Multimodal Model Architecture, Fusion and Fine-Tuning (12 hours)
- Vision-Language Model (VLM) Applications for Enterprise (12 hours)
- Speech-to-Speech Models and Autonomous Voice Agents (12 hours)
- Realtime AI APIs, WebRTC and Low-Latency Streaming Architecture (12 hours)
- Turn-Taking, Endpointing and Sub-Second Latency Engineering (12 hours)
- Document and Screen Understanding with Vision-Language Models (12 hours)
- Multimodal AI Evaluation: Vision, Audio, Document and Video Benchmarks (12 hours)
AI Product Management & User Experience (15) →
- AI Product Strategy and Business Models (12 hours)
- AI Product Discovery, Prototyping and Validation (12 hours)
- AI Product Roadmap and Portfolio Management (12 hours)
- AI Feature Design and Specification (12 hours)
- Generative AI UX and Interaction Design Patterns (12 hours)
- Designing for Trust, Safety and User Control in AI Products (12 hours)
- Explainable AI (XAI) UX: Citations, Provenance and Reasoning Design (12 hours)
- Human-AI Interaction (HAI) and Collaborative Intelligence Design (12 hours)
- AI Product Metrics, Analytics and Outcome Measurement (12 hours)
- Experimentation and A/B Testing for AI Products (12 hours)
- Shaping AI Model Behaviour, Quality Rubrics and Error Analysis (12 hours)
- Optimising Cost, Latency and Quality in AI Products (12 hours)
- AI-Native Digital Product Management (12 hours)
- Agent Experience (AX) and Task Delegation UX (12 hours)
- Model, Prompt and Tool Change Management in Production AI (12 hours)
AI for Designers (13) →
- AI for Designers (12 hours)
- AI-Powered Creative Research and Moodboards (12 hours)
- AI-Assisted Ideation and Concept Development (12 hours)
- Art Direction with Prompts and Reference Images (12 hours)
- AI Image Generation for Visual Content Production (12 hours)
- AI Image Editing and Variation Development (12 hours)
- Brand-Consistent AI Visual Systems (12 hours)
- Typography, Composition and Fine Style Control in Generative AI (12 hours)
- AI-Assisted UI/UX Design (12 hours)
- Rapid Prototyping and Design Iteration with AI (12 hours)
- Canva, Figma and Generative Design Tools in Daily Workflows (12 hours)
- Copyright, Ethics and Safe Use of Generative AI in Design (12 hours)
- Generative AI for Video Production (12 hours)
Technical AI Training 17 categories · 333 courses
AI-Assisted Software Development (26) →
- AI Coding Assistants for Software Engineers (12 hours)
- Disciplined Vibe Coding: From Idea to Working Software (12 hours)
- Agentic Coding for Software Engineering Teams (12 hours)
- From Requirements to Code: AI-Assisted Delivery Workflows (12 hours)
- Harness Engineering for Reliable Coding Agents (18 hours)
- Loop Engineering: Autonomous Generate-Verify-Repair Cycles (18 hours)
- AI-Assisted Code Analysis, Refactoring and Quality Improvement (12 hours)
- AI-Assisted Software Test Generation for Developers (12 hours)
- Evidence-Based Debugging with AI (12 hours)
- AI-Assisted Technical Documentation and Docs-as-Code (12 hours)
- Repository Context Engineering for Large Codebases (18 hours)
- Secure Code Review in the Age of AI-Generated Code (12 hours)
- Enterprise AI Coding Governance, Policies and Standards (12 hours)
- Designing an AI-Native Software Development Life Cycle (SDLC) (12 hours)
- AI-Assisted Legacy Code Modernisation (COBOL, PL/SQL, Monolith to Modern Architecture) (12 hours)
- Testing AI and LLM Applications for QA and Test Engineers (12 hours)
- AIOps: LLM-Assisted Incident Management for SRE and IT Operations (12 hours)
- AI Coding Assistants: From IDE Autocomplete to Agentic Coding (12 hours)
- Designing Repository Instructions, Rules and AGENTS.md (12 hours)
- Spec-Driven Development (SDD) with Coding Agents (12 hours)
- Feature Delivery, Refactoring and Migrations with Coding Agents (12 hours)
- Agentic Testing and Autonomous QA Workflows (12 hours)
- AI-Assisted Code Review and Human Approval Workflows (12 hours)
- Sandboxing, Tool Permissions and Safe Execution for Coding Agents (12 hours)
- Team Workflows, Reusable Agent Skills and Context Handoffs (12 hours)
- Headless Coding Agents in CI/CD Pipelines (12 hours)
LLM Application Engineering (20) →
- Large Language Model (LLM) Fundamentals (12 hours)
- Large Language Models and the Transformer Architecture (12 hours)
- Building Applications with LLM APIs (12 hours)
- Structured Outputs with LLMs: JSON Schema, Pydantic and Constrained Decoding (12 hours)
- LLM Tool Use and Function Calling (12 hours)
- Prompt and Context Architecture for LLM Applications (12 hours)
- Long-Context LLM Engineering and Context Window Management (12 hours)
- Model Routing and Multi-Model Architecture Design (12 hours)
- Building Multimodal LLM Applications: Vision, Documents and Audio (12 hours)
- Mixture of Experts (MoE) LLMs: Architecture, Serving and Fine-Tuning (12 hours)
- Streaming and Real-Time AI Application Engineering (12 hours)
- Small Language Models (SLMs) for Enterprise Applications (12 hours)
- Open-Weight LLM Integration and Self-Hosted Serving (12 hours)
- LLM Cost and Latency Optimisation: Prompt Caching, Batching and FinOps (12 hours)
- LangChain Fundamentals for LLM Application Development (12 hours)
- LLM Engineering for Java & .NET (Spring AI, LangChain4j, Semantic Kernel) (12 hours)
- Building Enterprise LLM Applications on Amazon Bedrock (12 hours)
- Enterprise LLM Development with Azure OpenAI and Azure AI Foundry (12 hours)
- Building Enterprise LLM Applications on Google Cloud Vertex AI (12 hours)
- Production Architecture Patterns for Enterprise LLM Systems (12 hours)
RAG & Enterprise Knowledge Systems (20) →
- RAG with LangChain (3 hours)
- Multimodal RAG (3 hours)
- Retrieval-Augmented Generation (RAG) Fundamentals (12 hours)
- Embeddings and Semantic Search Engineering (12 hours)
- Vector Database Architectures: pgvector, Milvus, FAISS, Weaviate and Pinecone (18 hours)
- Data Preparation, Document Parsing and Chunking for RAG (12 hours)
- Advanced RAG (12 hours)
- Citations, Grounding and Hallucination Control in RAG Systems (12 hours)
- Hybrid Search and Reranking for High-Precision RAG (12 hours)
- Metadata Architecture and Permission-Aware Retrieval in RAG (12 hours)
- Agentic RAG: Multi-Step, Corrective and Adaptive Retrieval Architectures (12 hours)
- GraphRAG and Knowledge-Graph-Enhanced Retrieval Systems (12 hours)
- RAG Evaluation and Quality Assurance: Golden Datasets, LLM-as-a-Judge and CI/CD (12 hours)
- Retrieval and Generation Metrics for RAG Systems (12 hours)
- Production RAG Architecture: Scaling, Freshness, Security and Operations (12 hours)
- Building an Enterprise Knowledge Assistant: Architecture and Implementation (12 hours)
- Text-to-SQL and Conversational Analytics over Enterprise Databases (12 hours)
- Semantic Layers and Governed Metric Definitions for Text-to-SQL and AI Analytics (12 hours)
- SQL Query Validation, Guardrails and Access Control for Text-to-SQL (12 hours)
- Text-to-SQL Accuracy Evaluation and Enterprise Benchmarking (12 hours)
AI Agent Engineering (18) →
- ReAct Pattern for LLM Agents: Reasoning and Acting (12 hours)
- Plan-and-Execute Agents: Planning, Execution and Replanning (12 hours)
- State and Workflow Management for AI Agents (12 hours)
- Tool Design and Tool Contracts for LLM Agents (12 hours)
- Building Agent Systems with LangGraph (12 hours)
- OpenAI Agents SDK and Tool-Based Agent Systems (12 hours)
- Building MCP Servers and Clients (Model Context Protocol) (12 hours)
- Multi-Agent Orchestration: Supervisor, Hierarchical and Swarm Patterns (12 hours)
- Agent Memory: Short-Term and Long-Term Memory Architectures (12 hours)
- Sandboxing and Secure Code Execution for AI Agents (12 hours)
- Agent Evaluation, Tracing and Production Monitoring (12 hours)
- Resilience, Error Recovery and Durable Execution in Agent Systems (12 hours)
- Agent Architecture and Agentic Workflow Patterns (12 hours)
- ReAct, Plan-and-Execute and State Management: Integrated Agent Control (12 hours)
- Handoffs and Agent-as-Tool: Delegation Patterns in Agent Systems (12 hours)
- Agent Skills and Capability Design: Modular Agent Architecture (12 hours)
- Agent Interoperability and A2A (Agent2Agent) Protocols (12 hours)
- Human Approval and Escalation: Human-in-the-Loop Agent Workflows (12 hours)
LLM Customisation & Model Adaptation (19) →
- Prompting, RAG or Fine-Tuning: LLM Adaptation Decision Framework (18 hours)
- Model and Data Readiness: Base Model Selection and Data Suitability (12 hours)
- Quality, Cost and Risk Analysis in LLM Adaptation (12 hours)
- Baselines and Success Metrics: Pre-Adaptation Benchmarking for LLMs (12 hours)
- Fine-Tuning Fundamentals: Introduction to Customising LLMs (18 hours)
- Advanced Fine-Tuning: Continual Pre-Training, Long Context and Model Merging (18 hours)
- Supervised Fine-Tuning (SFT): Engineering and Optimisation (18 hours)
- Parameter-Efficient Fine-Tuning (PEFT): Architectures and Multi-Adapter Serving (18 hours)
- Practical LLM Fine-Tuning with LoRA and QLoRA (12 hours)
- Instruction Tuning: Following Complex Instructions, Schemas and Domain Constraints (12 hours)
- Preference Optimization: DPO, ORPO, KTO and LLM Alignment (12 hours)
- Synthetic Data Generation: Data Synthesis and Distillation for LLM Training (12 hours)
- Training Data Design: Dataset Architecture for LLM Fine-Tuning (12 hours)
- Model Evaluation and Fine-Tuning Evals for Custom LLMs (12 hours)
- Open-Weight Model Adaptation: Customising Llama, Qwen, Mistral and Gemma (12 hours)
- Turkish Language Models: Tokenization, Evaluation and Adaptation (12 hours)
- Distributed LLM Training with PyTorch FSDP and DeepSpeed (24 hours)
- Reinforcement Learning for Reasoning Models (GRPO and RLVR) (24 hours)
- Dataset Quality and Decontamination for LLM Training (12 hours)
Local & On-Premise LLM Platforms (20) →
- LLM Model Serving and Deployment Fundamentals (12 hours)
- LLM Serving with vLLM: Production Inference Deployment (12 hours)
- Hugging Face Text Generation Inference (TGI) for LLM Serving (12 hours)
- Running Local LLMs with Ollama (12 hours)
- LLM Serving Stack Mastery: FastAPI, vLLM, KServe and Triton (18 hours)
- LLM Quantization: INT8, INT4, FP8, FP16 and BF16 in Practice (12 hours)
- Dynamic Quantization for Neural Networks and LLMs (12 hours)
- Quantization-Aware Training, QLoRA Fine-Tuning and Quantized Serving (12 hours)
- GPU Capacity Planning and Hardware Sizing for LLM Inference (12 hours)
- In-House LLM Platform Architecture: From Hardware Sizing to Air-Gapped Production (12 hours)
- Air-Gapped LLM Deployment, Offline Registry Mirroring and Update Operations (12 hours)
- Running Local LLMs on Desktop and Workstations: llama.cpp, GGUF and LM Studio (12 hours)
- Self-Hosted AI Coding Assistants with Local LLMs (12 hours)
- Open-Weight LLM Selection, Licensing and Benchmarking for Enterprise Use (12 hours)
- Enterprise Model Serving with NVIDIA Triton Inference Server and KServe (12 hours)
- KV Cache Management and Continuous Batching Optimization for LLM Inference (12 hours)
- LLM Inference Throughput and Latency Optimization (12 hours)
- Running AI and LLM Workloads on Kubernetes (18 hours)
- Deploying Small Language Models on Edge and On-Device Hardware (12 hours)
- LLM Unit Economics: Cost per Request and Token Optimization (12 hours)
LLMOps & AI in Production (21) →
- LLMOps Fundamentals: Operating LLM Applications in Production (12 hours)
- End-to-End LLMOps: Production Architecture and Implementation (12 hours)
- Versioning Prompts, Models, Tools and Datasets in LLM Systems (12 hours)
- AI Model Gateways and Intelligent LLM Routing (12 hours)
- CI/CD Pipelines and Automated Quality Gates for AI and LLM Applications (12 hours)
- LLM Evaluation Methodology, Metrics and Frameworks (12 hours)
- Engineering Automated and Scalable LLM Evaluation Pipelines (12 hours)
- Continuous Online Evaluation and Drift Detection for Production LLMs (12 hours)
- Regression Testing for LLM, RAG and Agent Applications (12 hours)
- LLM Tracing and Observability with OpenTelemetry, Langfuse and Arize Phoenix (12 hours)
- Runtime Guardrails and Safety Layers for Production LLM Applications (12 hours)
- LLM Caching Strategies: Prompt Caching, Semantic Caching and Runtime Cost Control (12 hours)
- Application-Level Performance and Latency Engineering for LLM Systems (12 hours)
- AI Incident Management, Runbooks and Production Failure Response (12 hours)
- Hybrid Cloud and On-Premises AI Deployment Architectures (12 hours)
- LLM Evaluations (Evals) Fundamentals: A Practical Introduction (12 hours)
- Golden Dataset Curation and Test Case Design for LLM Applications (12 hours)
- Rule-Based Assertions and Model-Graded (LLM-as-a-Judge) Evaluators (12 hours)
- Evaluating RAG Pipelines and Autonomous AI Agents (12 hours)
- Bridging Offline Benchmarks and Online Production Evaluation for LLMs (12 hours)
- User Feedback Loops and Data Flywheels for Production LLM Products (12 hours)
AI Security & Red Teaming (20) →
- Prompt Injection Attacks and Defenses for LLM Applications (12 hours)
- Indirect Prompt Injection in RAG and Agent Systems (12 hours)
- Sensitive Data Exposure in LLM Applications (12 hours)
- Tool Misuse and Excessive Agency in AI Agents (12 hours)
- RAG Poisoning and Knowledge Base Security (12 hours)
- AI Model and Supply Chain Security Risks (12 hours)
- AI Agent Authentication, Authorization and Identity Security (12 hours)
- AI Threat Modeling for LLM, RAG and Agent Systems (12 hours)
- AI Red Teaming for LLM, RAG and Agent Applications (12 hours)
- LLM Guardrails and Multi-Layer Defense Design (12 hours)
- Automated AI Security Testing and CI/CD Security Evaluations (12 hours)
- Secure Enterprise AI Reference Architecture (12 hours)
- Privacy-Preserving LLM Architectures: PII Masking, Anonymization and Data Residency (18 hours)
- Building PII Detection and Masking Gateways for LLMs (12 hours)
- Data Anonymization and Synthetic Test Data Generation for AI (12 hours)
- Data Minimization and KVKK Compliance in AI Logging and Observability (12 hours)
- Agent Goal Hijacking: Detection and Defense in Autonomous AI (12 hours)
- Agentic AI Supply Chain and Model Context Protocol (MCP) Security (12 hours)
- Preventing Unexpected Code Execution in LLM and Agent Systems (12 hours)
- Sandboxing and Isolated Execution Environments for AI Agents (12 hours)
Model Security & AI in Cybersecurity (11) →
- AI and Machine Learning Model Security Fundamentals (12 hours)
- Adversarial Machine Learning: Evasion Attacks and Robustness Defenses (12 hours)
- AI Data Poisoning and Backdoor Attacks in Training and Fine-Tuning (12 hours)
- Deep Learning Model Security: Architectures, Weights and Inference Protection (18 hours)
- MLOps Security and DevSecOps for Machine Learning Pipelines (12 hours)
- LLM Application Security: OWASP Top 10 and Prompt Injection Defense (12 hours)
- AI Red Teaming and Machine Learning Model Penetration Testing (12 hours)
- AI Applications in Cybersecurity Operations and Defense (12 hours)
- AI-Driven Cyber Threat Detection for Endpoint, Network and Cloud (12 hours)
- Anomaly Detection with Machine Learning for Security and Operations (12 hours)
- AI-Powered SIEM and Modern SOC Operations (12 hours)
Machine Learning & Applied Data Science (25) →
- Machine Learning Fundamentals (12 hours)
- Advanced Machine Learning (12 hours)
- Machine Learning for Data Analysis (12 hours)
- Feature Engineering for Machine Learning (18 hours)
- Model Evaluation and Explainability (12 hours)
- Model Validation and Model Risk Management (12 hours)
- Time Series Forecasting (12 hours)
- Applied Machine Learning (24 hours)
- Anomaly Detection with Machine Learning (12 hours)
- Fraud Detection with Machine Learning (12 hours)
- Risk Scoring and Credit Scorecard Modelling (12 hours)
- Customer Churn and Propensity Modelling (12 hours)
- Recommendation Systems (12 hours)
- Predictive Maintenance with Machine Learning (12 hours)
- Demand Forecasting for Supply Chain and Retail (12 hours)
- Optimization and Decision Systems (12 hours)
- Model Development with XGBoost and LightGBM (12 hours)
- Automated Machine Learning (AutoML) (12 hours)
- Explainable AI (XAI) (12 hours)
- Causal Inference and Uplift Analytics (12 hours)
- Introduction to Machine Learning - Regression Models (2 hours)
- Federated Learning and Privacy-Preserving ML (12 hours)
- Online Machine Learning and Streaming Analytics (12 hours)
- Graph Analytics and Graph Machine Learning (12 hours)
- Tabular and Time-Series Foundation Models (TabPFN, Chronos, TimesFM) (12 hours)
Deep Learning & Natural Language Processing (19) →
- Deep Learning with PyTorch (42 hours)
- Deep Learning Fundamentals (18 hours)
- Advanced Deep Learning (18 hours)
- Modern Neural Network Architectures (18 hours)
- Transformer Architectures in Depth (18 hours)
- Deep Learning with TensorFlow and Keras (18 hours)
- Model Compression and Edge AI Deployment (12 hours)
- Deep Generative Models and Architectures (12 hours)
- Reinforcement Learning and Sequential Decision Making (12 hours)
- Deep Learning for Fraud Detection (18 hours)
- Deep Learning for Defect and Fault Detection (18 hours)
- Deep Learning for Time Series Forecasting (18 hours)
- Deep Learning for Recommendation Systems (18 hours)
- Natural Language Processing (NLP) Fundamentals (12 hours)
- Advanced Natural Language Processing (NLP) (12 hours)
- Deep Learning for Natural Language Processing (18 hours)
- Production NLP Engineering (18 hours)
- Text Classification and Information Extraction (12 hours)
- Semantic Search and Neural Information Retrieval (12 hours)
Computer Vision (18) →
- Computer Vision (36 hours)
- Computer Vision Fundamentals (12 hours)
- Deep Learning for Computer Vision (18 hours)
- Advanced Computer Vision (12 hours)
- Computer Vision Bootcamp (120 hours)
- Object Detection and Segmentation (12 hours)
- Image Segmentation Models (12 hours)
- Vision Transformers (ViT) in Practice (12 hours)
- Document AI and OCR Systems (12 hours)
- Video Analytics and Multi-Camera Tracking (12 hours)
- Human Action Recognition and Spatio-Temporal Models (12 hours)
- Multimodal Learning and Vision-Language Models (VLMs) (12 hours)
- Automated Visual Inspection and Quality Control Systems (12 hours)
- Computer Vision for Hospitals: Clinical Operations and Patient Safety (12 hours)
- Medical Image Analysis and Computer Vision in Healthcare (12 hours)
- Computer Vision for Hotels and Hospitality Operations (12 hours)
- Deploying Computer Vision Models on Edge Devices (12 hours)
- Model Compression and Optimization for Computer Vision (12 hours)
MLOps & AI Platform Engineering (21) →
- MLOps – Fundamentals (30 hours)
- Practical MLOps: End-to-End ML Pipelines (12 hours)
- MLOps – Advanced Level (30 hours)
- Experiment Tracking and Hyperparameter Management in ML (12 hours)
- Model Tracking and Experiment Management with MLflow (12 hours)
- Experiment, Data and Model Lifecycle Management with Weights & Biases (W&B) (12 hours)
- Data and Model Versioning with DVC and LakeFS (12 hours)
- Enterprise Model Registry and Model Lifecycle Governance (12 hours)
- Model Serving and High-Performance Inference Architectures (12 hours)
- CI/CD and Continuous Training (CT) for Machine Learning (12 hours)
- Container and Kubernetes Deployment for AI and ML Workloads (18 hours)
- GPU Acceleration and Inference Optimization (12 hours)
- Enterprise MLOps and Model Deployment on Amazon SageMaker (12 hours)
- Production Model Monitoring and ML Observability (12 hours)
- Data and Concept Drift Detection and Continuous Adaptation (12 hours)
- Feature Store Architectures and Feature Engineering Platforms (18 hours)
- Responsible and Safe ML Deployment (12 hours)
- Enterprise AI Platform Architecture and Platform Engineering (12 hours)
- Self-Service AI Platforms and Internal Developer Experience (Golden Paths) (12 hours)
- Policy, Secrets and Access Control for Enterprise AI Platforms (12 hours)
- AI FinOps: Cost and GPU Capacity Management (12 hours)
Model Serving & Deployment (23) →
- Introduction to Model Deployment (12 hours)
- REST API and gRPC Fundamentals for Model Serving (12 hours)
- Synchronous vs Asynchronous Inference (12 hours)
- Batch, Real-Time and Streaming Inference Fundamentals (12 hours)
- Model Serialization and Model File Formats (12 hours)
- Model Serving Architectures (18 hours)
- Latency, Throughput and Cost Trade-offs in Model Serving (12 hours)
- Security for Model Serving and Inference APIs (12 hours)
- TensorFlow Model Serving Fundamentals (12 hours)
- Advanced TensorFlow Model Serving and Optimisation (12 hours)
- Deploying TensorFlow Serving on Docker and Kubernetes (18 hours)
- TorchServe Fundamentals for PyTorch Model Serving (12 hours)
- Advanced TorchServe: Workflows, Optimization and Scaling (12 hours)
- Dynamic and Offline Batch Inference with TorchServe (12 hours)
- ONNX and ONNX Runtime Fundamentals (12 hours)
- NVIDIA Triton Inference Server Fundamentals (12 hours)
- Advanced NVIDIA Triton: Ensembles, BLS, LLMs and Tuning (12 hours)
- Integrating Multi-Framework Models with NVIDIA Triton (12 hours)
- Serving Machine Learning and LLM Models with FastAPI (12 hours)
- Serving Machine Learning Models with Flask (12 hours)
- Distributed Model and LLM Serving with Ray Serve (12 hours)
- Model Versioning, Rollout Strategies and Safe Replacement (12 hours)
- Scaling Deployed Machine Learning and LLM Services (12 hours)
Programming for AI (9) →
- Advanced Python for AI and Data Engineering (12 hours)
- API Integration and Development with Python for AI Projects (12 hours)
- Building Modern Backend and AI APIs with FastAPI (12 hours)
- PyTorch Fundamentals for Deep Learning (12 hours)
- TensorFlow and Keras Fundamentals for Deep Learning (12 hours)
- Python for Data Science (18 hours)
- R Programming for Data Science and Statistical Modelling (12 hours)
- Python Programming (24 hours)
- Modern C++ Fundamentals and High-Performance AI Applications (12 hours)
Data Science & AI-Ready Data Engineering (27) →
- Web Scraping (36 hours)
- Data Science (48 hours)
- Introduction to Data Science (12 hours)
- Python for Data Science (12 hours)
- Statistics for Data Science (12 hours)
- Advanced Data Science (12 hours)
- Data Modeling and Data Science (TDWI Body of Knowledge Topics) (12 hours)
- Data Analyst Training: From Business Question to Insight (12 hours)
- SQL Fundamentals for Data Analysis (12 hours)
- Advanced SQL for Analytics and Query Optimization (12 hours)
- AI-Ready Data Engineering (18 hours)
- Data Quality Testing and Data Contracts (12 hours)
- Data Lineage, Catalogs and Data Observability (12 hours)
- Unstructured Data Pipelines for Documents, Audio and Images (12 hours)
- The Modern Data Stack: dbt, Apache Airflow and Apache Iceberg (12 hours)
- AI-Ready Data Architecture (12 hours)
- Automated Data Quality Testing for Analytics and AI (12 hours)
- Data Contracts: Producer-Consumer Agreements and Schema Governance (12 hours)
- Data Lineage and Enterprise Data Catalogs (12 hours)
- Data Observability: Monitoring, Drift Detection and Incident Management (12 hours)
- Multimodal Data Ingestion: Document, Audio and Image Parsing (12 hours)
- dbt and Analytics Engineering Transformation Workflows (12 hours)
- Dirty Data, Clean CV: Real-World ML, Interviews & Career (3 hours)
- Data and AI Pipeline Orchestration with Apache Airflow (12 hours)
- Data Lakehouse Architecture with Apache Iceberg (12 hours)
- Semantic Layer Design for BI, Text-to-SQL and AI Agents (12 hours)
- Metadata Engineering for RAG and Autonomous Agents (12 hours)
Enterprise AI Platforms & Agent Cloud Ecosystem (16) →
- Enterprise AI Development with Microsoft Azure AI Foundry (12 hours)
- Building Multi-Agent Systems with Microsoft Agent Framework (12 hours)
- GitHub Copilot and Autonomous Coding Agents for Engineering Teams (12 hours)
- Enterprise Agent Infrastructure with Amazon Bedrock AgentCore (12 hours)
- Developing Production AI Agents with AWS Strands Agents SDK (12 hours)
- Amazon Bedrock Knowledge Bases and Guardrails (12 hours)
- Amazon SageMaker AI and Enterprise ML Platform Services (12 hours)
- Google Cloud Vertex AI and Gemini Enterprise Agent Platform (12 hours)
- Building Multi-Agent Applications with Google Agent Development Kit (ADK) (12 hours)
- Enterprise Agent Development with Google Cloud Vertex AI Agent Engine (12 hours)
- Vertex AI Model Garden: Enterprise Model Selection and Endpoint Management (12 hours)
- Governance and Observability in Cloud-Based Agent Systems (12 hours)
- Enterprise AI Lifecycle with the IBM watsonx Platform (12 hours)
- Enterprise Digital Workers and Automation with IBM watsonx Orchestrate (12 hours)
- Stateful Multi-Agent Architectures and Production Orchestration with LangGraph (12 hours)
- Open-Source Model and Agent Ecosystem: Self-Hosted Enterprise AI Stack (12 hours)
Software, Data, Process & Technology Training 17 categories · 171 courses
Microsoft Power Platform & Copilot Studio (7) →
- Enterprise Canvas and Model-Driven App Development with Microsoft Power Apps (12 hours)
- Cloud and Desktop Process Automation with Microsoft Power Automate (12 hours)
- MS Power Platform (30 hours)
- Microsoft Dataverse: Enterprise Data Modeling, Security, and Business Rules (12 hours)
- Azure and Power Platform Integration: Fusion Development Architecture (12 hours)
- Copilot Studio Agent and Power Automate Workflow Integration (12 hours)
- Power Platform Governance, DLP, CoE, and Environment Strategy (12 hours)
Business Intelligence & Analytics (13) →
- Data Visualization for Business Reporting (12 hours)
- Advanced Power BI (12 hours)
- Data Modeling and DAX for Power BI (12 hours)
- Power Query for Data Preparation and Transformation (12 hours)
- Microsoft Fabric Fundamentals (12 hours)
- Migrating from Power BI to Microsoft Fabric (12 hours)
- Data Analysis with Excel (12 hours)
- Python in Excel: Automating Analysis with pandas (12 hours)
- SQL and Power BI for Business Analysts (12 hours)
- Tableau for Data Analysis and Dashboards (12 hours)
- AI-Assisted Data Analysis and Reporting (12 hours)
- Microsoft Power BI Fundamentals (12 hours)
- Microsoft Power BI Essentials (12 hours)
Cybersecurity (15) →
- Cybersecurity Fundamentals (12 hours)
- Zero Trust Architecture and Implementation (12 hours)
- Application Security (AppSec) and Secure SDLC (12 hours)
- API Security: OWASP API Top 10, OAuth 2.0 and Gateway Controls (12 hours)
- Software Supply Chain Security: SBOM, SLSA and CI/CD Hardening (12 hours)
- Red Team, Blue Team and Purple Team Cyber Defense Exercises (12 hours)
- Cybersecurity Incident Response and Digital Forensics Triage (12 hours)
- SIEM Operations and Security Operations Center (SOC) Analyst Training (12 hours)
- Agentic SOC, SOAR and AI-Driven Security Automation (12 hours)
- Adversarial Machine Learning: Evasion, Poisoning and Model Robustness (12 hours)
- LLM, RAG and AI Agent Security (12 hours)
- ISO/IEC 27001 Information Security Management System (ISMS) (12 hours)
- Linux Network Administration and Security Hardening (12 hours)
- Malware Analysis and Reverse Engineering Fundamentals (12 hours)
- CISSP Exam Preparation: 8 Security Domains (24 hours)
Business Analysis (9) →
- Agile Business Analysis (12 hours)
- CBAP / CCBA Exam Preparation (24 hours)
- Advanced Business Analysis (12 hours)
- Applied Business and Systems Analysis (12 hours)
- AI-Assisted Business Analysis (12 hours)
- Software Requirements Analysis (12 hours)
- Business Process Analysis and Design (12 hours)
- Business Process Management (BPM) (12 hours)
- Business Analysis Fundamentals (12 hours)
Web Development – Frontend (6) →
- TypeScript for Modern Application Development (12 hours)
- Modern Web Development with React and Next.js (12 hours)
- Modern Single Page Application (SPA) Architecture and Libraries (12 hours)
- Enterprise Frontend Development with Angular (12 hours)
- Micro Frontend and Monorepo Architecture (12 hours)
- State Management with Redux Toolkit (12 hours)
Web Development – Backend (20) →
- Java and Spring Boot Backend Development (12 hours)
- .NET and ASP.NET Core Web API Development (12 hours)
- Node.js and NestJS Backend Development (12 hours)
- REST API Design Best Practices (12 hours)
- Event-Driven Architecture with Kafka and Messaging (12 hours)
- Microservices Architecture (12 hours)
- Secure Software Development (SSDLC & OWASP) (12 hours)
- Legacy System Modernization and Refactoring Strategies (12 hours)
- Web Development with ASP.NET MVC (.NET Framework) (12 hours)
- Web Application Development with ASP.NET Core MVC (12 hours)
- SharePoint Server and SharePoint Framework (SPFx) Development (12 hours)
- Software Design Patterns and Clean Architecture (12 hours)
- Enterprise Application Architecture and Integration Patterns (18 hours)
- Microservices with .NET, MassTransit and .NET Aspire (12 hours)
- Microservices with Java, Spring Boot and Spring Cloud (12 hours)
- API Development with GraphQL (12 hours)
- Software Modelling with Domain-Driven Design (DDD) (12 hours)
- Inter-Service Communication with gRPC and Protocol Buffers (12 hours)
- Data Structures and Algorithms for Software Engineers (12 hours)
- Modern Web and API Development with PHP 8 and Laravel (12 hours)
Software Testing & Quality (12) →
- Software Testing and Modern Quality Engineering (18 hours)
- A/B Testing and Online Controlled Experiments (12 hours)
- Clean Code, Refactoring and Unit Testing Practices (12 hours)
- Practical Software Testing (Manual, API & Exploratory) (12 hours)
- Test Analysis, Requirements Engineering and Test Design Techniques (12 hours)
- ISTQB Foundation Level (CTFL v4.0) Software Testing (24 hours)
- Web UI Test Automation with Selenium WebDriver (12 hours)
- Modern Web and Component Testing with Cypress (12 hours)
- Test Automation Architecture and Sustainable Quality Processes (12 hours)
- End-to-End Web and API Testing with Playwright (12 hours)
- Mobile Application Test Automation with Appium 2 (12 hours)
- Performance and Load Testing with Apache JMeter (12 hours)
Databases (18) →
- Big Data Querying and Analytics with Apache Spark SQL (12 hours)
- PostgreSQL for Developers: From Fundamentals to Advanced SQL (12 hours)
- PostgreSQL Database Administration, High Availability and Operations (12 hours)
- MySQL and MariaDB Development, Tuning and Administration (12 hours)
- Oracle Database Architecture, SQL Tuning and Administration (12 hours)
- MongoDB Document Data Modelling, Aggregation and Operations (12 hours)
- In-Memory Data Structures, Caching and Messaging with Redis (12 hours)
- Distributed NoSQL Databases with Apache Cassandra (12 hours)
- Search and Real-Time Analytics with Elasticsearch and OpenSearch (12 hours)
- Graph Databases, Data Modelling and Cypher with Neo4j (12 hours)
- Time-Series Databases with TimescaleDB and InfluxDB (12 hours)
- Vector Databases, ANN Indexing and Hybrid Search Architecture (12 hours)
- Practical Vector Search with pgvector, Milvus, Weaviate and Pinecone (12 hours)
- Database Performance Tuning and SQL Query Optimization (12 hours)
- Oracle PL/SQL Database Programming and Performance (12 hours)
- Relational Data Modelling, SQL Normalization and Schema Optimization (12 hours)
- SQL Server Database Querying Fundamentals (18 hours)
- SQL Server Database Querying Training (30 hours)
Big Data (11) →
- Big Data (48 hours)
- Apache Spark (30 hours)
- Streaming Analytics: Real-Time Data Processing and Analysis (12 hours)
- Hadoop, Hive and HBase: The Hadoop Ecosystem in Practice (12 hours)
- Data Engineering Fundamentals (18 hours)
- Python for Data Engineering (18 hours)
- PySpark: Distributed Data Processing with Python (12 hours)
- Apache Kafka for Event Streaming (12 hours)
- Apache Airflow: Workflow Orchestration for Data Pipelines (12 hours)
- Data Quality and Data Contracts for Reliable Data Platforms (12 hours)
- Observability for Data Platforms and Distributed Systems (12 hours)
Infrastructure & Systems Administration (7) →
- Windows Server Installation, Configuration and Storage Management (12 hours)
- Microsoft SharePoint: Intranet, Document Management and Governance (12 hours)
- Linux System Administration for Enterprise Environments (12 hours)
- VMware vSphere: Virtualisation, Cluster Management and Operations (12 hours)
- Cisco CCNA: Enterprise Networking Fundamentals and Configuration (12 hours)
- Cisco CCNP Enterprise: Advanced Routing, Switching and SD-WAN (24 hours)
- Active Directory Domain Services (AD DS) Configuration and Hardening (12 hours)
Docker & Kubernetes (6) →
- Docker: Containerisation and Multi-Container Application Delivery (12 hours)
- Kubernetes: Container Orchestration, Deployment and Operations (18 hours)
- Helm: Packaging, Templating and Managing Kubernetes Applications (12 hours)
- Managed Kubernetes in the Cloud: Amazon EKS, Azure AKS and Google GKE (12 hours)
- Kubernetes Security and Cluster Troubleshooting (18 hours)
- Container and Kubernetes Security: Hardening, Policy and Runtime Defence (18 hours)
DevOps & MLOps (8) →
- DevSecOps: Automated Security in CI/CD and Cloud-Native Delivery (12 hours)
- GitOps for Kubernetes with Argo CD and Flux (12 hours)
- Infrastructure as Code (IaC) with Terraform, OpenTofu and Ansible (12 hours)
- CI/CD Pipelines: Continuous Integration and Continuous Delivery (12 hours)
- Platform Engineering: Designing Internal Developer Platforms (IDP) (18 hours)
- Site Reliability Engineering (SRE) Fundamentals (12 hours)
- Microsoft PowerShell for System Administration and Automation (12 hours)
- AIOps Foundation: AI-Driven IT Operations and Incident Intelligence (12 hours)
Cloud Technologies (5) →
- AWS Fundamentals: Core Services, Security and Cloud Operations (12 hours)
- Microsoft Azure Fundamentals: Core Services, Governance and Operations (12 hours)
- Google Cloud (GCP) Fundamentals: Core Infrastructure, Data and Services (12 hours)
- Cloud Architecture: Designing Scalable, Resilient and Cost-Effective Systems (12 hours)
- Cloud Security: Identity, Data Protection, CSPM and Threat Detection (12 hours)
MS Office (8) →
- Microsoft Word, PowerPoint and Project for Business Professionals (12 hours)
- Microsoft Excel Fundamentals (12 hours)
- Microsoft Excel Intermediate (12 hours)
- Microsoft Excel Advanced (12 hours)
- Microsoft Project Fundamentals (12 hours)
- Microsoft Project Advanced (18 hours)
- Microsoft Excel Macros (VBA) Training (24 hours)
- Microsoft Excel Advanced – Expert Level (30 hours)
UX/UI & Digital Marketing (13) →
- UX/UI Design Fundamentals: User-Centred Digital Product Design (12 hours)
- Figma for UI/UX Teams: Auto Layout, Components, Variables and Dev Mode (12 hours)
- Design Systems: Tokens, Component Libraries, Governance and Code Sync (12 hours)
- Interactive Prototyping: From Rapid Flows to High-Fidelity Validation (12 hours)
- User Research: Qualitative, Quantitative and Usability Testing Methods (12 hours)
- AI-Powered UI/UX: Designing with AI Tools and Building AI-Native Interfaces (12 hours)
- Digital Marketing Strategy and Full-Funnel Execution (12 hours)
- Content Marketing Strategy: Topic Authority, Production and Distribution (12 hours)
- Lead Generation: B2B Demand Generation, ABM and Funnel Conversion (12 hours)
- Marketing Analytics: GA4, Attribution, Funnel Analysis and ROI Dashboards (12 hours)
- AI-Powered Content and Marketing Campaign Production (12 hours)
- E-Commerce Fundamentals: Storefront, Merchandising, Operations and Growth (12 hours)
- GEO (Generative Engine Optimization) (6 hours)
Project Management (12) →
- Project Management Fundamentals (12 hours)
- PMP / CAPM Exam Preparation (24 hours)
- Agile, Scrum and Kanban in Practice (12 hours)
- Project Risk Management (12 hours)
- AI-Powered Project Management (12 hours)
- TOGAF Enterprise Architecture (24 hours)
- Project and Agile Work Management with Jira (12 hours)
- Product Management (12 hours)
- Agile Coaching (12 hours)
- Product Owner Training (12 hours)
- Agile Project Manager (12 hours)
- IT Service Management with ITIL (12 hours)
Technology Leadership & Management Skills 8 categories · 59 courses
Leadership & People Management in the Age of AI (7) →
- Leading with Clarity (12 hours)
- Situational Leadership (12 hours)
- Delegation Across Humans and AI Agents (12 hours)
- Accountability and Decision Rights (12 hours)
- Psychological Safety for High-Performing Teams (12 hours)
- Performance and Development Conversations (12 hours)
- Effective 1:1s and Team Rituals (12 hours)
Strategic Communication, Storytelling & Executive Presence (7) →
- Strategic Communication (12 hours)
- Executive Communication (12 hours)
- Storytelling for Business (12 hours)
- Data Storytelling (12 hours)
- Executive Presence (12 hours)
- High-Impact Presentations and Q&A Mastery (12 hours)
- AI-Powered Presentations and Business Communication (12 hours)
Critical Thinking, Problem Solving & Decision Quality (7) →
- Problem Framing (12 hours)
- Critical and Analytical Thinking (12 hours)
- Cognitive Biases in Decision-Making (12 hours)
- Evaluating Evidence and Source Quality (12 hours)
- Decision Criteria and Trade-Off Design (12 hours)
- Scenario Planning and Pre-Mortem Analysis (12 hours)
- Counter-Argumentation and Red-Team Thinking with AI (12 hours)
Creative Problem Solving, Systems Thinking & Innovation (7) →
- Creative Problem Solving (12 hours)
- Systems Thinking (12 hours)
- Design Thinking (12 hours)
- Problem Reframing (12 hours)
- Ideation and Prioritization (12 hours)
- Rapid Experimentation and Prototype Design (12 hours)
- Creative Thinking with AI (12 hours)
Negotiation, Influence & Stakeholder Management (7) →
- Stakeholder Mapping (12 hours)
- Influencing Without Authority (12 hours)
- BATNA and ZOPA (12 hours)
- Value Creation and Concession Architecture (12 hours)
- Objection and Conflict Management (12 hours)
- Coalition Building and Mobilizing Support (12 hours)
- Communicating with Difficult Stakeholders (12 hours)
Collaboration, Facilitation & High-Performing Teams (7) →
- Cross-Functional Collaboration for Managers and Team Leads (12 hours)
- Facilitation Skills for Managers and Workshop Leaders (12 hours)
- Effective Meeting and Workshop Design (6 hours)
- Decision Clarity and Action Accountability (12 hours)
- Productive Conflict: Turning Disagreement into Better Decisions (12 hours)
- Team Norms and Working Agreements (12 hours)
- Hybrid and Asynchronous Collaboration for Distributed Teams (12 hours)
Adaptability, Resilience & Navigating Change (7) →
- Adaptability and Learning Agility in Changing Environments (12 hours)
- Resilience: Sustaining Performance Under Pressure and Uncertainty (12 hours)
- Psychology of Change: Navigating Transitions and Resistance (12 hours)
- Prioritisation and Decision-Making Under Uncertainty (12 hours)
- Growth Mindset and Experimental Learning Culture (12 hours)
- Change Communication: Building Alignment and Trust in Uncertainty (12 hours)
- Employee Experience and Adoption in AI Transformation (12 hours)
Coaching, Feedback, Mentoring & Learning Culture (10) →
- Coaching Mindset: Leader as Coach and Powerful Questioning (12 hours)
- Effective Feedback: Radical Candor and Actionable Conversations (12 hours)
- Corporate Mentoring: Structured Experience Sharing and Mentoring Skills (12 hours)
- Development Conversations: Career and Capability Dialogues (12 hours)
- Learning Objective Design and Competency Mapping (12 hours)
- Peer Learning: Collaborative Learning Circles and Peer Coaching (12 hours)
- Learning Culture and Knowledge Sharing in Organisations (12 hours)
- AI-Powered Personalised Learning Support and L&D Design (12 hours)
- Train the Trainer: Internal Facilitation and Learning Experience Design (12 hours)
- PRINCE2 Foundation Preparation and Structured Project Management (24 hours)
Corporate Academies 1 categories · 8 courses
Corporate Academies & Programme Models (8) →
- Executive AI Leadership Academy (30 hours)
- AI Fluency and Business Productivity Academy (30 hours)
- Agentic Automation Academy (30 hours)
- Generative AI Engineering Bootcamp (30 hours)
- AI-Native Software Engineering Academy (30 hours)
- AI Governance, Risk and Assurance Academy (30 hours)
- Data and AI Platform Engineering Academy (30 hours)
- Human Skills for the AI Era Academy (30 hours)
Hands-on Workshops 1 categories · 12 courses
Hands-on Workshops (12) →
- AI Use Case Discovery and Prioritization Workshop (12 hours)
- Prompt, Context and Workflow Design Lab (12 hours)
- From Idea to Working Product with No-Code and Low-Code (12 hours)
- Agentic Process Redesign Workshop (6 hours)
- Copilot Studio Agent Builder Day (12 hours)
- AI-Native Software Engineering Lab (18 hours)
- RAG and Enterprise Knowledge Assistant Lab (12 hours)
- AI Governance Tabletop Simulation (12 hours)
- Customer Feedback and Contact Center AI Workshop (6 hours)
- AI and Automation in Logistics and Last-Mile Operations (12 hours)
- KPI, Dashboard and Decision Visibility Workshop (6 hours)
- Human Skills Simulation Lab (12 hours)
Career Paths
Unsure where to start? Our Career Path programs combine multiple courses to prepare you for high-demand industry roles.
🎯 Data Scientist
Duration: 6 months | Level: Beginner-Intermediate
Become an expert in data analysis, machine learning, and statistical modeling. Master Python, SQL, ML algorithms, and data visualization tools.
Salary Range: 35.000₺ - 80.000₺
Inquire🤖 ML Engineer
Duration: 6-8 months | Level: Medium
Develop production-ready ML systems. Specialize in model training, optimization, deployment, and monitoring.
Salary Range: 40.000₺ - 90.000₺
Inquire👁️ Computer Vision Engineer
Duration: 5 months | Level: Medium-Advanced
Develop image processing, object detection, segmentation, and video analysis systems. Be an expert in OpenCV, TensorFlow, and PyTorch.
Salary Range: 45.000₺ - 100.000₺
Job Opportunities:High demand, particularly in autonomous vehicles and security
Inquire💬 NLP Engineer
Duration: 5 months | Level: Medium-Advanced
Develop language models, chatbots, and text analysis systems. Become an expert in Transformer models and Large Language Models (LLMs).
Salary Range: 45.000₺ - 110.000₺
Job Opportunities:Peak demand in the post-ChatGPT era
Inquire🚀 AI Product Manager
Duration: 4 months | Level: Medium
Design and manage AI products. Combine technical knowledge + business strategy + product management skills.
Salary Range: 50.000₺ - 120.000₺
Job Opportunities:Peak demand in the post-ChatGPT era
Inquire* Explore the catalog above to discover all career paths.
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