Become a Certified AI Engineer! Our Gen AI Foundations Course offers an intensive, hands-on program designed for ambitious professionals ready to master the core building blocks of AI and apply them to real-world business challenges.
A hands-on program for engineers, analysts, and data professionals to design, build, and deploy production-ready Generative AI solutions using TypeScript. Master core GenAI concepts, work with large language models, implement RAG systems, and develop real-world applications built for scale.
CERTIFICATE OF COMPLETION UPON COURSE COMPLETION
40+ HOURS
ON DEMAND TRAINING
HANDS ON GEN AI FRAMEWORKS AND USE CASES
The Gen AI Foundations course is a practical, business-driven learning program designed for professionals, leaders, and teams who want to move beyond AI hype and turn Generative AI into real, measurable business value.
As AI rapidly shifts from experimentation to production, this course provides clarity, structured thinking, and hands-on frameworks — without unnecessary technical complexity or abstract theory. Participants gain a solid understanding of how Generative AI works, where it creates strategic advantage, what its limitations are, and how to adopt it responsibly and effectively within modern organizations.
The program bridges the gap between technology and business by focusing on:
By the end of the course, participants don’t just understand Generative AI — they are equipped to use it, assess it critically, and integrate it strategically into their role or organization.
Organizations investing in this training can expect faster and more confident AI adoption, with teams capable of delivering production-ready AI features in weeks rather than months. By developing multi-provider expertise across leading platforms such as OpenAI, Anthropic, and Google, organizations significantly reduce vendor lock-in and retain strategic flexibility. The program builds a strong foundation in cost optimization, enabling teams to understand token economics and design efficient, scalable AI usage patterns. A TypeScript-first, type-safe development approach enhances quality assurance by minimizing runtime errors and improving system reliability.
Ultimately, organizations gain a competitive advantage through the ability to design and deploy sophisticated AI agents and multimodal systems tailored to real business needs.
Take your career to the next level with production-grade GenAI engineering skills designed for real-world impact. The course adopts a TypeScript-first approach, leveraging strong typing, enterprise-grade tooling, and seamless web ecosystem integration—moving beyond Python-only workflows. With a production-ready mindset, every module focuses on real implementation challenges, including error handling, streaming architectures, cost optimization, and security.
Hands-on learning is at the core, with over 67% of the program dedicated to practical labs and projects, ensuring you build, test, and refine working GenAI systems. You’ll gain exposure to multiple AI frameworks, enabling confident technology selection, while advanced enterprise modules prepare you to design scalable, monitored, secure, and deployable AI solutions built for modern business environments.
You should have:
No prior AI or TypeScript experience required—we teach both from scratch!
Absolutely! Module 1 of the Foundation course covers TypeScript essentials. If you know Python, you’ll find TypeScript familiar. We focus on TypeScript because it’s the industry standard for production web applications and offers superior type safety for AI systems.
Upon completion, you’ll be able to build production-ready GenAI applications using TypeScript and Large Language Models (LLMs), design advanced RAG (Retrieval-Augmented Generation) pipelines, integrate knowledge systems with AI agents, and deploy scalable AI solutions. You’ll gain hands-on experience with modern frameworks and tools used in enterprise TypeScript/Node.js environments.
TypeScript offers superior type safety, better tooling, and seamless integration with modern web applications and enterprise systems. Most production AI applications require full-stack integration—TypeScript allows you to build end-to-end AI solutions without switching languages. You’ll learn to work with AI SDKs and APIs in the same language used by your frontend and backend teams, making you immediately valuable in real-world development environments.
This program is tailored for full-stack developers, TypeScript/JavaScript engineers, technical product managers, and ambitious professionals who want to master AI engineering using modern web technologies. It’s ideal for those already working in TypeScript ecosystems who want to add GenAI capabilities to their skillset without learning Python.
The curriculum covers core GenAI concepts, integrating with LLM providers (OpenAI, Anthropic, Google), building RAG systems with TypeScript, advanced prompting techniques, semantic search, vector databases, AI agent development, and production deployment patterns. You’ll work with industry-standard TypeScript libraries and frameworks used in enterprise AI development.
Yes! After completing the Gen AI Foundations Certificate, you can progress to the Advanced Track, which covers Knowledge-Augmented Generation (KAG), multi-agent systems, advanced RAG architectures, production-ready patterns for security and scalability, and enterprise AI deployment strategies—all using TypeScript. This track is designed for professionals ready to architect and scale GenAI solutions in production environments.
Yes! Upon successfully completing the Gen AI Foundations course, you will receive a Certificate of Completion recognizing your hands-on expertise in Generative AI. This certificate demonstrates your ability to work with LLMs, build RAG systems, and deploy real-world AI applications, making it a valuable addition to your professional credentials.
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.
The Advanced Track equips professionals to scale GenAI systems with deep dives into KAG, semantic search, and prompt engineering. Participants learn to productionize, monitor, and optimize AI solutions for real-world enterprise use.
