Build Your Career in AI & Generative AI

Key Learning Areas – Development & Python

• Prompt Engineering – Design effective prompts to get accurate and reliable LLM responses.
• Prompt Chaining – Build multi-step AI workflows by connecting multiple prompts.
• Prompt Templates – Create reusable, dynamic prompts for Python-based applications.
• LLM Application Development – Develop AI applications using Python and LLM APIs.
• LangChain Framework – Build LLM-powered applications using LangChain components.
• Tool & Function Calling – Connect LLMs with APIs, functions, databases, and external tools.
• RAG – Build intelligent applications that retrieve information from custom documents and knowledge bases.
• LangGraph Workflows – Develop stateful, multi-step AI agents and workflows.
• LangSmith Monitoring – Trace, evaluate, debug, and monitor AI applications.
• Model Context Protocol (MCP) – Build AI systems that securely connect LLMs with tools and data sources.

Skills You’ll Gain

• Build AI-powered applications – Create practical AI solutions using Python and LLMs.
• Create intelligent workflows – Design automated, multi-step AI processes and agents.
• Develop production-ready AI solutions – Apply coding, testing, monitoring, and deployment practices.
• Implement enterprise-grade AI agents – Build scalable agents for real-world business use cases.
• Integrate external tools with LLMs – Connect AI applications with APIs, databases, services, and enterprise systems.