• LangChain & Generative AI for Python Developers
• Develop your first LangChain-powered AI application and set up a robust development environment.
• Master prompt patterns, chains, runnables, and output parsing for dynamic AI interactions.
• Implement memory in LangChain to create AI models that retain user context.
• Build a Retrieval-Augmented Generation (RAG) pipeline to enhance data retrieval and AI responses.
• Create and integrate custom tools, agents, and functions into AI applications.
• Monitor, optimize, and fine-tune AI applications using LangSmith.
• Design intuitive AI-powered interfaces with Streamlit.
• Generative AI for Node.js & TypeScript Developers
• Integrate OpenAI APIs in JavaScript/TypeScript applications to use text, speech, and image modes.
• Use LangChain, Pinecone, and OpenAI to build LLM-powered applications.
• Translate and transcribe audio files using open-source models in Node.js.
• Build a ChatGPT-like console app with Node.js for a hands-on AI experience.
• Master AI embeddings, similarity search, and vector databases for enhanced AI performance.
• Implement ChromaDB and Pinecone for vector storage and efficient similarity searches.
• Learn LangChain components, including LLM wrappers, prompt templates, chains, and agents.
• Explore Hugging Face APIs and open-source models for local AI applications.
• AI Infrastructure & Advanced Topics
• Vector Databases: Set up and query Pinecone and ChromaDB for scalable AI applications.
• Embedding Techniques: Use cosine similarity and dot product for vector-based searches.
• Docker for AI: Build a ChromaDB server with Docker and integrate it into your AI applications.
• TypeScript Recap: Strengthen your TypeScript skills with type aliases, generics, special types, and enums.

Who Should Take This Course?

• AI Developers looking to build and deploy advanced Generative AI applications.
• Data Scientists aiming to enhance AI models with memory, RAG, and vector databases.
• Node.js & JS Developers who want to add AI capabilities to their applications.
• Software Engineers interested in mastering LangChain and OpenAI for dynamic AI-powered apps.
• Tech Enthusiasts & AI Researchers eager to explore cutting-edge AI frameworks and integrations.
• Product Managers looking to understand the capabilities of AI-powered applications.

Course Advantages

• Hands-On Learning – Minimal theory, maximum practical implementation.
• Fast-Paced & Concise – No unnecessary typing, only key explanations and real-world applications.
• Production-Ready Skills – Apply everything you learn directly to real projects.
• High-Quality Content – Full HD, dark background, and optimized for readability.
• Lifetime Access & Certification – Earn a certificate of completion to showcase your expertise.
• Active Instructor Support – Get answers to your questions from an industry expert.