Corporate AI & Technology Training Catalog

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  • RAG with LangChain RAG with LangChain

    Hands-on workshop on building an end-to-end Retrieval-Augmented Generation (RAG) chatbot using LangChain, covering document chunking, embeddings, vector databases, and a Gradio interface.

    RAG & Enterprise Knowledge Systems Corporate, Individual Workshop
    Live Course
    6 modules
  • Multimodal RAG Multimodal RAG

    Hands-on workshop on building a Multimodal RAG system with LangChain to extract, embed, and query text, tables, and images from complex PDF documents.

    RAG & Enterprise Knowledge Systems Corporate, Individual Workshop
    Live Course
    6 modules
  • Retrieval-Augmented Generation (RAG) Fundamentals

    Hands-on fundamentals for building an end-to-end RAG system over enterprise documents: ingestion, chunking, embeddings, vector retrieval, grounded prompting with citations and baseline evaluation.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Embeddings and Semantic Search Engineering

    Deep dive into dense, sparse (SPLADE/BM25), Matryoshka and late-interaction (ColBERT) embeddings, Turkish/multilingual retrieval quality, domain adaptation and semantic search engineering.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Vector Database Architectures: pgvector, Milvus, FAISS, Weaviate and Pinecone

    Engineering deep dive into ANN indexing (HNSW, IVF, DiskANN, PQ) and vector databases (pgvector, Milvus, Weaviate, FAISS, Pinecone), covering filtered search, multi-tenancy and capacity planning.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Data Preparation, Document Parsing and Chunking for RAG

    Parsing complex PDFs, tables and scanned enterprise documents with Docling, Unstructured and VLMs, and applying structural, semantic, parent-child and contextual chunking for high-recall RAG.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Citations, Grounding and Hallucination Control in RAG Systems

    Engineering RAG systems for strict grounding, verifiable inline citations, conflict resolution across sources, calibrated abstention when evidence is missing and automated faithfulness verification.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Advanced RAG Advanced RAG

    Enterprise RAG architectures covering BM25-dense hybrid retrieval, ColBERT, neural reranking, self-correcting Agentic RAG, GraphRAG, Text-to-SQL, and GPU-accelerated serving.

    RAG & Enterprise Knowledge Systems Corporate, Individual
    Live Course
    10 modules
  • Hybrid Search and Reranking for High-Precision RAG

    Boosting RAG retrieval precision and recall by combining BM25/SPLADE lexical search with dense vectors via RRF, query rewriting (multi-query, HyDE) and cross-encoder or ColBERT reranking.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Metadata Architecture and Permission-Aware Retrieval in RAG

    Designing metadata schemas, dynamic filter extraction and RBAC/ABAC/ReBAC security-trimmed retrieval so enterprise RAG assistants never leak unauthorized documents.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Agentic RAG: Multi-Step, Corrective and Adaptive Retrieval Architectures

    Building Agentic RAG systems with LangGraph that plan sub-queries, route across heterogeneous data sources, grade retrieved evidence, self-correct queries (CRAG/Self-RAG) and bound latency.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • GraphRAG and Knowledge-Graph-Enhanced Retrieval Systems

    Combining knowledge graphs (Neo4j, property graphs), entity-relationship extraction, community summaries (Microsoft GraphRAG) and vector search to answer multi-hop and corpus-wide enterprise queries.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • RAG Evaluation and Quality Assurance: Golden Datasets, LLM-as-a-Judge and CI/CD

    Replacing ”vibe checks” in RAG with systematic evaluation: golden dataset curation, synthetic test generation, RAGAS/DeepEval/Promptfoo pipelines, CI/CD quality gates and production monitoring.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Retrieval and Generation Metrics for RAG Systems

    Hands-on programme covering information retrieval metrics (Recall@k, Precision@k, MRR, NDCG@k) and generation metrics (Faithfulness, Answer Relevance, Context Precision, Citation F1) with statistical testing.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Production RAG Architecture: Scaling, Freshness, Security and Operations

    Scaling RAG from prototype to production: event-driven incremental ingestion, zero-downtime re-indexing, multi-tier caching, security controls, latency SLAs and LLMOps observability.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Building an Enterprise Knowledge Assistant: Architecture and Implementation

    End-to-end engineering programme for building an enterprise knowledge assistant across SharePoint, Confluence, Jira and internal docs with multi-turn memory, citations, permissions and feedback loops.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Text-to-SQL and Conversational Analytics over Enterprise Databases

    Engineering Text-to-SQL and conversational analytics systems that translate natural-language business questions into accurate SQL queries, tables and charts over PostgreSQL, BigQuery, Snowflake and SQL Server.

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 modules
  • Semantic Layers and Governed Metric Definitions for Text-to-SQL and AI Analytics

    Preventing inconsistent numbers in AI analytics by grounding LLMs in a governed semantic layer (Cube, dbt Semantic Layer, YAML metric definitions, canonical joins and business glossaries).

    RAG & Enterprise Knowledge Systems Corporate
    Live Course
    6 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
Applied AI Training 8 categories · 110 courses
Technical AI Training 17 categories · 331 courses

AI-Assisted Software Development (26) →

LLMOps & AI in Production (21) →

Software, Data, Process & Technology Training 17 categories · 171 courses
Technology Leadership & Management Skills 8 categories · 59 courses
Corporate Academies 1 categories · 8 courses
Hands-on Workshops 1 categories · 12 courses

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₺

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👁️ 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

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💬 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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