Get ready to elevate your technical portfolio with real, job-ready GenAI development skills. In this course, you’ll break down the fundamentals of prompt engineering, explore in-context learning strategies, and design reusable prompt templates that increase consistency and accuracy across AI outputs. You’ll learn practical techniques for refining prompts, troubleshooting unpredictable model behavior, and experimenting with different LLM configurations to strengthen the quality of your responses.
From there, you’ll dive into LangChain’s modular ecosystem, mastering chains, tools, and agents to build context-aware applications that can reason, plan, and respond more effectively. Hands-on labs guide you through building a fully functional generative AI application in Python that accepts user input, applies your backend logic, and delivers structured results. You’ll also explore Flask and Gradio to create interactive web interfaces that showcase your GenAI system in action.
By the end of the course, you’ll have proven experience designing, optimizing, and deploying end-to-end GenAI applications using industry-recognized tools and workflows—skills that employers now expect from modern AI developers. Enroll and start building with confidence.
