This repository presents a comprehensive and modular Generative AI Training Plan, designed to equip learners with both foundational knowledge and advanced skills in modern AI systems. The multi-week curriculum systematically covers theory, architecture, and practical applications of LLMs, multimodal AI, and autonomous agents.
Understand the progression from traditional AI to Deep Learning, Reinforcement Learning, and Generative AI, with a detailed look at the LLM ecosystem and evaluation methods.
Learn and apply techniques like zero-shot, few-shot, chain-of-thought, and tree-of-thought prompting to harness LLM capabilities effectively.
Explore core concepts including multilayer perceptrons (MLPs), activation functions, backpropagation, and RNNs.
In-depth coverage of self-attention, transformer architecture, and encoder-decoder variants powering today’s state-of-the-art models.
Dive into LLM architecture, training strategies, and techniques for customizing models to domain-specific tasks.
Introduction to autonomous AI agents that perform goal-driven tasks with memory, reasoning, and tool usage capabilities.
Learn to integrate LLMs with external knowledge sources for dynamic, context-rich response generation in enterprise applications.
Explore the future of AI through multimodal systems that combine text, vision, and voice for next-generation user experiences.
Whether you're a researcher, engineer, or enthusiast, this training plan provides a guided pathway to mastering the theory and practice of Generative AI and its real-world applications.
| Lecture Name | Topic Covered |
|---|---|
| Lecture-1 | History of AI, Paradigm Shifts in AI, AI vs ML vs DL, Generative AI, Reinforcement Learning and Autonomous Agents |
| Lecture-2 | Evolution of Language Models, Prompt Engineering: Zero shot, Few Shot, Chain of Thought, Chan of Thought, Multi Turn Prompting, Role Play |
| Lecture-3 | Neuron architecture (input, weights, bias, output), Forward propagation in MLP, Multi-layer structure (hidden layers), Weight initialization |