Generative AI and ChatGPT Masterclass for Software Engineers

Master ChatGPT, AWS Gen AI, Bedrock, AI agents and Generative AI: Hands-on training. Basics of advanced AI agents 2025

Created by: Mohammed Fahim | Generative AI, Chatgpt trainer | AI professional
6x AWS, GCP, Terraform Certified

What Will I Learn?

• Artificial Intelligence : Basics of AI. Key Concepts of AI, AI/ML Differences, Deep Learning. Real life examples of AI, ML, Deep Learning and Generative AI.
• Generative AI Internals : GPT (Generative Pre-trained Transformer), Gen AI timeline, Democratization of AI
• ChatGPT 4o : Effective Prompts to improve productivity. Build career - Create resume and prepare for interview. 1000+ Prompts with practical examples
• Open AI : Models, APIs, Invoking APIs using Postman, Playground, Tokens, Temperature, Pricing, Usage, Billing. Productivity versus Product development.
• Open AI Evolution: Tracing the evolution and milestones of OpenAI and ChatGPT tech stack - Examining the technological stack behind ChatGPT.
• ChatGPT alternatives : Exploring alternative models like Google Gemini and Copilot in the context of chat-based AI. Comparing DALL-E 2, DALL-E 3 & Midjourney.
• Jupyter Notebook and Jupyter Lab : Using Jupyter Lab for seamless interaction. Examples of using ChatGPT and other models within a notebook .
• Prompt Examples in Notebook : Practical examples of using prompts within Jupyter Notebooks. Tips for effective prompt formulation.
• Calculate Token Pricing - Tiktoken : Introduction to Tiktoken. Understanding token pricing and calculating costs for different interactions.
• Talk to Your Data - English Lang for SQL: Leveraging generative models for natural language interactions with data.
• Hands-on Programs for Open AI models : Whisper, DALL-E 3, and Embeddings.
• Advanced Generative AI : Embeddings, Vector DB, Fine-tuning, Zero-shot, One-shot and Few shot learning and RAG (Retrieval-augmented generation).
• Real-world Project Implementation : Hands-on project integrating OpenAI models ( ChatGPT, Whisper, Embeddings). Uses RAG and embeddings are plotted in graph.
• Generative AI Future : Will AI take away jobs - Addressing the common concern of job displacement by AI and New opportunities - Strategies for professionals
• Google Gemini : Explore the power of Google Gemini and it's various models Ultra, Pro and Nano
• Google Gemini: Image + text prompts, code generation, testing and debugging Platform with Replit integration
• Github Copilot: Revolutionizing Code Development: Discover Github Copilot's revolutionary impact on code development, enhancing productivity and efficiency.
• LangChain: Learn building LLM applications using LCEL(LangChain Expression Language) framework, RAG (Retrieval augmented generation), & building AI agents
• OpenAI Sora - Text to Video Model: Master OpenAI Sora's architecture and diffusion models.
• Will AI take away jobs or create more opportunities

Requirements

• Basics of programming, preferably Python

Target audience

• Software Professionals
• Software Engineers
• Software Testers
• Programmers
• Product owners
• Project Managers