short courseMastering Generative AI

Session 1: Introduction to Generative AI

• Objective: Gain foundational knowledge about the evolution of AI, understanding of Generative AI tools (e.g., ChatGPT, Stable Diffusion), and practical applications
• Key Takeaways: History of AI, introduction to large language models (LLMs) and generative tools, understanding of open-source and commercial LLMs, and exploration of real-world applications

Session 2: ChatGPT in Everyday Life and Business

• Objective: Understand ChatGPT’s role in various scenarios, learn prompt engineering basics, and discuss bias and ethical considerations
• Key Takeaways: Workflows of LLMs, advantages and limitations of ChatGPT, real-world applications, and insights into bias, ethics, and moderation in AI

Session 3: Anatomy of Generative AI Models

• Objective: Learn about the architecture of different AI models and their applications
• Key Takeaways: Understanding of RNNs, LSTMs, GRUs, and Transformer models, and practical applications of these technologies

Session 4: - Unleash the potential of ChatGPT

• Objective: Deep dive into ChatGPT architecture and training, with a focus on advanced prompt engineering
• Key Takeaways: Insights into the architecture and training of ChatGPT, advanced prompt engineering techniques, and real-world applications

Session 5: Building Applications with LLMs

• Objective: Learn to use APIs from Google Gemini, OpenAI, and HuggingFace for building applications
• Key Takeaways: Setting up developer accounts, conversing with LLMs via APIs, prompt engineering, and building interactive chatbots

Session 6: - Building Applications with Open AI ChatGPT API - II

• Objective: Further exploration into building applications using OpenAI’s APIs
• Key Takeaways: Development of real-world applications, including Q&A search and chatbot assistants

Session 7: LLM Development with ChatGPT and Langchain - I

• Objective: Introduction to Langchain for building LLM applications
• Key Takeaways: Understanding Langchain’s components, developing chatbots, and MRKL systems with AI agents

Session 8: LLM Development with Langchain - II

• Objective: Advanced application development using Langchain and ChatGPT
• Key Takeaways: Building basic to advanced chatbots, restaurant order assistants, and Q&A search bots with RAG systems

Session 9: Unleashing the creative potential of Generative AI

• Objective: Explore the creative applications of Generative AI in music, art, video, and content creation
• Key Takeaways: Understanding AI’s role in creative industries and hands-on experience with AI tools for artistic creation

Session 10: Commercializing Generative AI Projects

• Objective: Learn to translate AI capabilities into business solutions
• Key Takeaways: Understanding the Business Model Canvas, AI applications across various industries, and case studies of successful AI startups

Solve real world problems.

Experience the complete process: from defining your business problem, exploring the data, applying suitable Generative AI techniques, to finally delivering a functional prototype.

Get coached and present your work.