CognitiaX AI · Program
Generative AI Course with LLMs, RAG & Agents
LLMs • Transformers • LangChain • RAG • Agents • Fine-tuning • Deployment – industry-grade GenAI mastery.
Duration: 6–7 monthsOffline: ₹1,00,000Online: ₹80,000
Program Highlights
- • End-to-end Generative AI & LLM development
- • Build RAG, Chatbots, Agents & Search systems
- • Deploy GenAI apps with Streamlit, AWS & HuggingFace
Tools you’ll master
PythonTensorFlow / KerasNLTKSpaCyTransformersLangChainOpenAIGroqOllamaHuggingFaceFAISSChromaDBPineconeCrewAILangGraphAWS Bedrock
Detailed Syllabus
Here’s how we take you from basics to a job-ready Generative AI.
Python Foundations for AI
- Python syntax, data types & operators
- Control flow, loops & functions
- Data structures & OOPS concepts
- File handling & exception handling
NLP & ML Foundations
- Text preprocessing & tokenization
- Bag of Words, TF-IDF & embeddings
- Word2Vec, CBOW & Skip-gram
- Classical NLP pipelines
Deep Learning for NLP
- ANN vs RNN
- Simple RNN, LSTM & GRU
- Bidirectional RNNs
- Sequence-to-sequence & attention
Transformers & LLMs
- Self-attention & multi-head attention
- Encoder-decoder architecture
- Positional encoding & layer normalization
- LLM evolution & architecture
Generative AI & LangChain
- LangChain ecosystem & components
- Prompt templates & chains
- Embeddings & vector stores
- RAG pipelines with FAISS / Chroma / Pinecone
Agents, Tools & Multi-Agent Systems
- LangChain tools & agents
- Conversational chatbots with memory
- CrewAI & LangGraph workflows
- Hybrid search & Graph RAG
LLM Fine-Tuning & Optimization
- Quantization concepts
- LoRA & QLoRA
- Fine-tuning with Gemma & Lamini
- Production-ready tuning strategies
Deployment & Cloud
- Streamlit & HuggingFace Spaces
- AWS Bedrock & SageMaker
- GenAI lifecycle in cloud
Real-World Projects You’ll Build
- • RAG Document Q&A Chatbot
- • Chat with PDF / SQL using LangChain
- • Multi-Agent AI System with CrewAI
- • GenAI App with OpenAI / Groq / Ollama
- • Fine-tuned LLM Deployment