langchain mastery
Table of Contents for the langchain mastery series.
- Kick start - Langchain
Understand what LangChain is, why it exists, and how it powers real-world AI apps like chatbots, RAG systems, and intelligent agents.
- Introduction to LangChain
Understand what LangChain is, why it exists, and how it powers real-world AI apps like chatbots, RAG systems, and intelligent agents.
- LangChain Building Blocks: Tools, Templates & Memory Walkthrough
Dive deeper into how LangChain components work together β with hands-on examples and integration scenarios for real-world applications.
- LangChain in Practice: Tools, Templates & Memory Walkthrough
Dive deep into prompt templates, memory modules, retrievers, toolkits, and LLM integrations.
- Building AI-Powered Applications with LangChain
A hands-on walkthrough of creating a fully functional AI Chat API using LangChainβs components like Agents, Tools, Memory, Chains, and Vector Stores.
- LangChain Advanced Topics
Customize chains and agents, monitor and evaluate outputs, scale to production, and integrate multimodal inputs.
- LangChain Practical Implementation
Hands-on projects, real coding walkthroughs, best practices, and debugging strategies.
- LangChain Integrations and Ecosystem
Learn how LangChain integrates with APIs, vector stores, LLMs, UI frameworks, and its powerful ecosystem tools like LangSmith and LangServe.
- Langchain Real-World Applications and Case Studies
Step-by-step guides to build chatbots, QA over docs, RAG workflows, agents with tools, and summarization apps.
- Langchain Resources and Further Learning
Case studies, deployment lessons, cost optimizations, ethics, community support, and your capstone project.
- LangChain Emerging Trends
Explore the cutting-edge developments in LangChain including multimodal integration, autonomous agents, and the future roadmap.
- LangChain Mastery Certification and Assessment
Complete the LangChain course with quizzes, projects, and certification. Showcase your mastery in LangChain with verifiable proof.
- LangChain Challenges and Limitations
Understand the practical challenges and limitations when building with LangChain β from hallucinations and memory to cost, ethics, and performance.