Prompt Engineering & LLMs with OpenAI & LangChain
Master LLMs and Prompt Engineering, from fundamentals to advanced RAG and LangChain pipelines. Build smart agents, chatbots, and AI-powered workflows with OpenAI, Hugging Face, and LangChain.
Modules
- What is Prompt Engineering?
- Zero-shot, Few-shot, Chain-of-Thought Prompting
- System vs User Prompts
- Best Practices & Anti-patterns
- OpenAI GPT-4 API & Playground
- Hugging Face Transformers Basics
- Prompt Templates & Parameter Tuning
- Intro to Claude, Gemini, LLaMA
- LangChain Core Concepts
- Chains: Sequential, Router, MapReduce
- Memory & Conversation Buffers
- Chat Agents with Tools (e.g. Calculator, API Calls)
- What is RAG and Why it Matters
- Embedding Models: OpenAI, Cohere, BGE
- Vector DBs: FAISS, Chroma, Pinecone
- Build a RAG-powered Search App
- Function Calling in OpenAI
- Toolchains with LangChain Agents
- Calling APIs and returning structured data
- Autonomous Task Completion via Tools
- Reflexion, ReAct, Self-Ask Techniques
- Guardrails AI & Output Validation
- Content Moderation & Token Limits
- LLM Limitations & Workarounds
- AI Chatbot for Customer Support
- Doc QA with PDFs & Embeddings
- AutoGPT-style Agent Workflow
- LLM-powered AI Search Engine
- Deploying LLM apps with Streamlit/Next.js
- Serverless & Edge Deployment
- LLMOps: Monitoring, Caching, Logging
- Ethics & Future of LLMs
Industry Insights
98%
Industry Relevance
High
Market Demand
₹18 LPA+
Avg. Salary
Ready to start learning?
Your Learning Roadmap
Follow this path to mastery. Our AI guide leads the way.
Prompt Engineering Basics
8 hrsZero/Few-shot, CoT prompting, prompt tuning
LLM Foundations
10 hrsOpenAI GPT-4 API, Hugging Face Transformers
LangChain Core
12 hrsChains, memory, tool usage
RAG & Vector Databases
12 hrsFAISS, Chroma, Pinecone, embedding models
Function Calling & Tools
10 hrsAPIs, structured outputs, agents
Advanced Techniques
10 hrsReAct, self-ask, guardrails, moderation
Capstone Projects
14 hrsChatbots, AI agents, AI search
LLMOps & Deployment
8 hrsMonitoring, serverless, ethics
Why learn Prompt Engineering & LLMs?
- LLMs like GPT-4, Claude, and Gemini are powering the next wave of AI products, from copilots to autonomous agents.
- Prompt Engineering is the new programming paradigm, get ahead of the curve and become a pioneer.
- LangChain enables chaining LLMs with memory, tools, vector stores, and APIs to build intelligent apps.
- You’ll master real-world skills like RAG, agent workflows, function calling, and LLMOps.
- This course prepares you to build production-grade apps using LLMs for search, automation, summarization, and decision-making.