Program Phases
| Start | End | Quota Status | |
|---|---|---|---|
| December 1, 2026 | December 9, 2026 | 30 |
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Course Objective
Date
Participants will receive a certificate of participation or achievement approved by the Lifelong Learning Center (BÜYEM) of Boğaziçi University, one of Turkey's most prestigious universities. This training has been developed in collaboration with the Boğaziçi University Lifelong Learning Center (BÜYEM), and Boğaziçi University faculty members will also take part in the sessions.
Participants will be eligible to receive a certificate of participation or achievement approved by the Boğaziçi University Lifelong Learning Center (BÜYEM). The program is designed in partnership with BÜYEM, with Boğaziçi University academics contributing to the lectures.
This training aims to help participants understand the complex world of artificial intelligence (AI) without requiring a technical background and gain practical skills they can directly integrate into their daily business workflows. Our primary goal is to demystify AI from being a "black box" and turn it into a powerful assistant that boosts productivity, sparks creativity, and supports strategic decision-making for professionals at every level.
In this context, our training aims to:
Develop AI Literacy: Convey the core concepts, types, and business potential of artificial intelligence in clear, accessible language.
Build Practical Tool Proficiency: Enable effective daily use of generative AI tools such as ChatGPT, Copilot, and Gemini, image generation platforms such as Imagen, Flux, Midjourney, and DALL-E, as well as video generation models such as Veo 3 and Kling.
Establish Strategic Communication Skills (Prompt Engineering): Teach how to "communicate" with AI tools (writing effective prompts) to achieve optimal results.
Create Tangible Value in Business Processes: Build competency in using AI across a wide spectrum—from writing emails and summarizing reports to content creation, basic data analysis, interacting with internal company documents (RAG), and automating repetitive tasks.
Generate Reports, Analyses, and Charts from Your Data: Learn how to analyze your data, create reports, and visualize insights using AI without needing a technical background or coding skills.
Drive Efficiency and Time Savings: Empower participants to focus more on strategically important work through AI-assisted automation and rapid problem-solving capabilities.
Encourage Innovative Thinking: Provide a vision for using AI as a tool for ideation, problem-solving, and improving processes such as employee onboarding.
Raise Awareness of Responsible and Ethical Use: Foster responsible adoption of technology by building awareness around AI ethics, data privacy, and potential biases.
Develop Personalized Implementation Plans: Guide each participant in creating measurable and actionable AI integration plans tailored to their own workflows.
Support a Culture of Continuous Learning and Adaptation: Instill a mindset geared toward continuous learning and adapting to innovations in the rapidly evolving AI landscape.
In short, our goal with this training is to help participants view artificial intelligence not as an inaccessible technology, but as an opportunity that simplifies their work and prepares them for the future, equipping them with the knowledge and skills needed to make the most of it.
Learning Outcomes
Gaining fundamental and advanced competencies for practical AI use in daily business workflows.
Acquiring effective and clear communication skills with AI tools
Directly applying AI in text generation, visual design, instant access to internal company knowledge, and basic data analysis
Focusing on strategic work by automating repetitive tasks
Understanding how to achieve instant and accurate answers by integrating your company's proprietary knowledge base into AI (the RAG concept) (covered conceptually)
Building in-depth awareness of the ethical and responsible use of artificial intelligence
Preparing personalized and measurable AI action plans that can be applied directly to their own workflows
Target Audience
Executives, technical and non-technical professionals
Operational team members
Individuals looking to boost their productivity with AI tools in their daily business workflows and personal lives
People seeking practical, immediately impactful uses of artificial intelligence
RuneLab ⨯ BULLC
Certificate of participation and achievement issued by Boğazici University Lifelong Learning Center upon course completion.
Curriculum
AI in Business Processes and Strategic Tools
What is artificial intelligence?
Which problems is AI suitable for, and which is it not?
Generative AI vs. Predictive AI: Practical differences and use cases
Current AI tools that streamline business workflows (ChatGPT, Copilot, Gemini, Perplexity AI, etc.) and image generation models (Midjourney, DALL-E, Imagen, Flux)
AI That Talks to Your Company Data: Introduction to RAG (Retrieval-Augmented Generation)
Discussion:
Participants' expectations, concerns, and excitement regarding AI
The Latest Artificial Intelligence Models
Hands-on demonstrations of the mentioned models will be presented in the relevant sections of upcoming modules.
Automated coding with Google Jules
OpenAI Codex
Google Data Science Agent
Google Veo 3 and Flow
Google Imagen 4 and Whisk
And many more image, video models, and chatbots.
Discovering AI Opportunities in Business Processes
Examining typical business processes through an AI lens: Communication, meeting management, document and report creation, basic data analysis, content generation, customer service, human resources (e.g., using AI in company onboarding processes)
Talking to Company Data: Instant access to company documents, policies, and procedures with Retrieval-Augmented Generation (RAG)
Identifying Repetitive and Time-Consuming Tasks: Work with high AI automation potential (with examples: data entry, report summarization, email)
Strategically matching AI solutions to business processes
Workshop:
Group brainstorming on concrete department-specific AI use cases (e.g., campaign generation for Marketing, recruitment support for HR, process optimization for Operations) and discussion of RAG architecture
Communicating with AI - Prompt Engineering and Chatbots
Multimodal chatbots
Tool use in chatbots
What is a prompt, and why is it crucial in communicating with AI?
Anatomy of a good prompt: Role, Task, Context, Format, Tone, Examples, Constraints
Examples ranging from basic prompts to complex and chained prompt strategies
Feeding AI with company-specific knowledge and documents: How to write effective prompts for RAG?
Workshop:
Participants design goal-oriented prompts for their own business workflows and receive feedback
Unleashing Creativity with AI in Communication and Content Creation
AI-assisted professional writing (persuasive emails, impactful reports, quick summaries, viral social media content)
Instant question answering and information summarization using internal company documents (handbooks, FAQs, policy documents)
Creative ideation with AI (headlines, slogans, content concepts, problem-solving)
Practice:
Participants draft emails, report summaries, and social media content for specific business scenarios using prompts
AI for Rapid Design and Striking Visual Production
Creating visual concepts in seconds and professional presentation design with AI
Practical and rapid content production with tools like Canva AI and Microsoft Designer
Rapidly creating high-quality designs with text-to-image generation tools (Midjourney, DALL-E, Imagen, Flux)
Practice:
Creating marketing concepts, social media graphics, presentation slides, and simple logo/icon designs with AI
No-Code AI-Powered Smart Data Analysis and Insight Discovery
Using AI for basic and intermediate data analysis, capturing trends and insights
Querying data in natural language over a database (e.g., "Show the top 3 best-selling products last month and plot a chart")
Data visualization and automated reporting with AI
Critical Evaluation: Verifying the accuracy of AI outputs and blending them with human intelligence
Practice:
AI-assisted analysis, visualization, and interpretation exercises using provided anonymized company-like sample datasets
Responsible AI Use and Ethics
The critical role of human oversight in AI use: Evaluating the accuracy, fairness, and appropriateness of AI outputs
Data privacy, copyright, and ethical usage policies in AI tools
Recognizing AI-driven biases, understanding their impact, and strategies for managing them
Scenario Workshop:
Exercise on ethical dilemmas and decision-making in complex AI use cases (performance evaluation, candidate filtering in recruitment, customer segmentation, etc.)
AI Integration, Personal Implementation Plan, and Embedding AI into Company Culture
Strategies for transitioning from AI experiments to sustainable adoption and deep integration into business processes
Training AI for Your Own Work Style and Data: Teaching AI your specific jargon, preferences, and frequently used formats (Fine-tuning)
Creating custom, actionable, and goal-driven AI implementation plans for participants:
Task → AI Tool → Key Prompt Strategy → Verification Method → Success Metric
Discussion on potential integration barriers (resistance, budget, technical limitations, etc.) and practical solutions
Workshop:
Participants prepare and present their personal/departmental AI implementation plans and enrich them through group coaching
Continuous Growth, Collaboration, and Leading the Future with AI in Business
Lifelong learning approach with AI: Reliable sources, communities, and ways to stay up to date
Fostering a culture of knowledge sharing and collaboration within teams around AI adoption
Managing professional transformation as strategic AI users and opening new career doors
Q&A, resource sharing, and overall training evaluation
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