Building Apps With AI Tools ChatGPT, Semantic Kernel, And Langchain

This technical course shows how to architect and build AI-powered applications using modern tooling such as ChatGPT, Semantic Kernel, and LangChain. It explains retrieval-augmented generation (RAG) patterns, embedding stores, prompt engineering best practices, connectors, and orchestration patterns for multi-step reasoning. Learners will implement retrieval flows, chain-of-thought pipelines, and memory components; test and evaluate outputs; and learn deployment considerations and cost optimization strategies for production.

• Skills you’ll learn: RAG design, embeddings and similarity search, prompt design, pipeline orchestration, deployment optimizations.

Certificate: Certificate of completion provided upon finishing the course.

Requirements

• Basic programming experience in Python or JavaScript; API keys and development environment.

Who this course is for

• Developers; ML engineers; AI product builders.

Benefits

• Understand system architectures; integrate APIs; implement retrieval and RAG; deploy working prototypes.