Generative AI Course
Learn to build cutting-edge Generative AI applications using LLMs, prompt engineering, fine-tuning, embeddings, agents, and real-world AI automation workflows.
Learn to build cutting-edge Generative AI applications using LLMs, prompt engineering, fine-tuning, embeddings, agents, and real-world AI automation workflows.
A complete practical course covering LLMs, AI automations, text generation, image generation, embeddings, fine-tuning, agents, RAG systems and deployment workflows.
Master structured prompts, chain-of-thought, personas, templates, and optimization techniques.
Understand transformer architecture, tokenization, embeddings, attention & decoding.
Create AI workflows that interact with APIs, tools, and perform autonomous tasks.
Train custom models and build knowledge-powered systems using vector DBs.
Step-by-step modules designed to make you a Generative AI Engineer.
Transformers, embeddings, tokenization, decoding, model evaluation.
Prompt structure, tuning, chain-of-thought, system prompts & knowledge prompting.
Vector databases, embeddings, retrieval pipelines, indexing and chunking strategies.
LoRA, QLoRA, dataset prep, hyperparameters, training evaluation & deployment.
Create agents for automation using tools, function calling & multi-step reasoning.
Serve models using FastAPI, LangChain, Docker, and cloud microservices.
Modern Generative AI tools & frameworks used in real-world projects.
Python
PyTorch
HuggingFace
Docker
Python
PyTorch
HuggingFace
Docker
A practical, deployment-focused Generative AI training program.
Project-based training with AI app creation every week.
No ML experience required; everything is taught from scratch.
Build a generative AI workflow with RAG + Agent + Deployment.
Industry-recognized certification with project portfolio.
Common questions learners ask.