Join the best Generative AI Course in Coimbatore at ByteForge Institute and learn how to build and use modern AI-powered applications using Generative AI technologies, Large Language Models (LLMs), Prompt Engineering, AI APIs and popular Gen AI tools. Our Generative AI Training in Coimbatore focuses on practical learning, hands-on exercises and real-world projects covering AI content generation, chatbots, AI automation, prompt optimization and LLM-based application development. Develop industry-relevant Generative AI skills and prepare for emerging career opportunities in AI, Machine Learning, AI Automation and Gen AI application development with placement support.
A structured journey from Transformer fundamentals to deploying production-ready AI Agents.
Every module is hands-on, focusing on real-world generative AI architectures and application building.
Introduction to Gen-AI, Self-Attention, Encoders/Decoders, and Tokenization.
Zero-shot, Few-shot, Chain-of-Thought (CoT), ReAct prompting, and guardrails.
Building with OpenAI GPT-4, Google Gemini, Anthropic Claude, and HuggingFace.
Chains, Memory, Document Loaders, Text Splitters, and Output Parsers.
Semantic search, dense vs sparse embeddings, ChromaDB, Pinecone, and FAISS.
Building enterprise RAG pipelines, Hybrid Search, Reranking, and Evaluation (Ragas).
Tool usage, Function calling, CrewAI, AutoGen, and LangGraph architectures.
PEFT, LoRA, QLoRA, fine-tuning Llama 3 / Mistral on custom datasets.
Image generation with Stable Diffusion, Midjourney API, and Multimodal LLMs.
Building and deploying a full-stack Gen-AI product using Streamlit, FastAPI, and Docker.
You'll emerge as an in-demand Generative AI Developer and LLM Applications Engineer.
Design optimal prompts, system instructions, and context windows for enterprise tasks.
Develop end-to-end AI applications leveraging state-of-the-art commercial and open-source models.
Build scalable Retrieval-Augmented Generation engines powered by vector databases.
Create autonomous multi-agent teams that execute complex workflows with external tools.
Adapt foundation models to specialized domain data using efficient LoRA techniques.
Build a robust portfolio of AI applications and launch your career in the Gen-AI domain.