Build Smarter AI Systems with Scalable, Real-World GenAI Architecture – Enrollment opens in September 2025.
Ready to lead with GenAI? This course is designed for professionals who want to move beyond the basics and start building real, scalable AI solutions. You’ll learn how to create smarter, more reliable AI systems, integrate them into your workflows, and bring them to life in real business environments. It’s a hands-on, practical program that gives you the confidence and skills to turn GenAI from a concept into a competitive advantage.
PART-TIME
5 WEEKS
The module is tailored for professionals who want to go beyond foundational skills and tackle real-world GenAI challenges at scale. This track dives deeper into Knowledge-Augmented Generation (KAG), semantic search optimization, advanced prompt engineering techniques, and the integration of structured knowledge with LLMs. Participants will also explore how to productionize GenAI systems, monitor their performance, and handle evolving data pipelines. Ideal for teams building domain-specific tools or scaling GenAI across operations, this track combines deep technical insight with robust hands-on practice to prepare participants for enterprise-grade AI deployment.
This module ensures all participants have the foundational Python skills required to work with GenAI. Participants will refresh key programming concepts and gain familiarity with tools like Jupyter notebooks and libraries essential for data manipulation and visualization.
This module ensures all participants have the foundational Python skills required to work with GenAI. Participants will refresh key programming concepts and gain familiarity with tools like Jupyter notebooks and libraries essential for data manipulation and visualization.
This module covers sophisticated prompting techniques that enhance reasoning and tool use within LLMs. Participants will explore proven methods like Chain-of-Thought, ReAct, and Self-Ask, while also learning how to defend against prompt injection vulnerabilities
Participants will learn to build intelligent hybrid systems that combine the flexibility of RAG with the structure of KAG. By linking documents with knowledge graphs, they’ll create AI applications that can both retrieve and reason, suitable for domains like legal, research, or customer support.
This module prepares participants to deploy GenAI applications at scale. Topics include system optimization, observability, monitoring hallucinations, and managing continuous data and model evolution with versioning and feedback loops.
This module prepares participants to deploy GenAI applications at scale. Topics include system optimization, observability, monitoring hallucinations, and managing continuous data and model evolution with versioning and feedback loops.
Participants will complete a comprehensive GenAI project that incorporates advanced techniques like RAG/KAG, semantic search, or production deployment. This capstone showcases their ability to design and implement scalable, intelligent systems using real or open data.
Unlock the full potential of your engineering, product, and data teams with a high-impact training program built for enterprise-scale AI. This course goes beyond theory—arming your team with the tools and skills to architect domain-specific GenAI solutions, integrate structured knowledge, and deploy production-ready systems using LangChain, Hugging Face, and FAISS. If you’re serious about driving real AI adoption, this is the program that delivers results.
Take your GenAI expertise to the next level with advanced, real-world skills that move far beyond the basics. This course equips you to design intelligent architectures using LLMs, build hybrid RAG + KAG pipelines, optimize semantic search, and deploy production-ready AI systems that are both high-performing and ethically sound.
Everything your team needs to kickstart and grow your career in Product. Learn how we enable product managers upskill, gain cross-functional skills and advance their career.
Learn to manage AI-driven products by mastering AI fundamentals, strategy, metrics, and ethics—bridging technical and business goals for impactful product outcomes.
Foundational and advanced training in building real-world GenAI applications. From LLMs and RAG to KAG, semantic search, and production-ready deployment, participants gain hands-on skills to design, scale, and optimize GenAI systems for business impact.
This hands-on course equips developers and data professionals with the skills to build and deploy real-world Generative AI applications using Python, LLMs, and RAG. Participants learn through live coding, guided labs, and practical mini-projects.
