Mastering Generative AI From Neural Networks to Multi-Agents

About this course

Master Generative AI from the ground up in this comprehensive masterclass that takes you from core machine learning concepts to building production-ready AI applications. Whether you're a software engineer, data scientist, or tech professional looking to stay ahead of the AI revolution, this course provides everything you need to become a Generative AI expert. Core Foundations: Deep dive into Machine Learning, Neural Networks, and Deep Learning fundamentals

Understand embeddings, transformers, and diffusion models that power modern AI Learn how foundation models like GPT, Claude, and Stable Diffusion actually work Natural Language Processing Mastery: Build and fine-tune Large Language Models (LLMs) for conversation and text generation Master tokenization, text classification, topic modeling, and named entity recognition Understand evaluation metrics and benchmarks used by industry leaders Implement supervised fine-tuning for specialized AI applications Image Generation & Computer Vision: Create stunning images using text-to-image and image-to-image models Master image editing, inpainting, and style transfer techniques Fine-tune image generation models for custom use cases Advanced Model Customization: Master prompt engineering and in-context learning strategies Build Retrieval Augmented Generation (RAG) systems that ground AI in your data Implement cutting-edge GraphRAG and StructRAG architectures Apply Parameter-Efficient Fine-Tuning (PEFT) and LoRA techniques Train models using Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) Optimize models through knowledge distillation

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