Complete Generative AI Course With Langchain and Huggingface

Module 1: Introduction to Generative AI & Langchain Basics

⏳ 30 minutes

• Explore generative AI fundamentals and set up your Langchain development environment.
• Understand Langchain’s core abstractions: chains, agents, and prompts.

Module 2: Langchain Architecture & Design Patterns

⏳ 45 minutes

• Dive into Langchain design patterns for modular, maintainable AI systems.
• Apply patterns like toolkit chains, map-reduce, and sequential chaining.

Module 3: Huggingface Integration & Pre-trained Models

⏳ 1 hour

• Load and serve Huggingface models within Langchain pipelines.
• Leverage tokenizers, pipelines, and transformers for NLP tasks.

Module 4: Fine-tuning Huggingface Models

⏳ 45 minutes

• Customize pre-trained models on your own datasets using optimum and Trainer APIs.
• Evaluate model performance and mitigate overfitting.

Module 5: Building RAG Pipelines

⏳ 45 minutes

• Integrate vector databases (e.g., FAISS, Pinecone) with Langchain.
• Implement document retrieval, embedding, and generative responses.

Module 6: Deployment Strategies

⏳ 1 hour

• Deploy models to cloud services (AWS, Azure, GCP) and on-premise servers.
• Containerize applications with Docker and orchestrate with Kubernetes.

Module 7: Optimization & Monitoring

⏳ 30 minutes

• Set up logging, performance metrics, and health checks.
• Apply quantization, distillation, and caching to reduce latency.

Module 8: Capstone Projects & Real-World Applications

⏳ 1 hour

• Build end-to-end projects: chatbots, content generators, and data augmentation tools.
• Review best practices and lessons learned from production deployments.

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