GEN AI Stack
Certificate

Learn how to build, seamlessly integrate, and confidently scale GenAI applications—transforming innovative ideas into powerful, real-world solutions that drive business growth.

At a Glance

16 Modules

70+

Hours of Training

∞

Frameworks & Insights

The Gen AI Diploma for Technical Product Managers, Business Intelligence & Tech Teams!

A comprehensive, business-oriented and technical program for professionals, leaders, and technical teams who want to move beyond AI hype and achieve real business results with Generative AI.

Get Certified

CERTIFICATE OF COMPLETION UPON COURSE COMPLETION

Duration

70+ HOURS

TRAINING TYPE

ON DEMAND TRAINING

What to Expect

HANDS ON GEN AI FRAMEWORKS AND USE CASES

Curriculum & About

About

Gen AI Stack is a comprehensive, business-driven and technical learning program designed for professionals, leaders, and technical teams who want to move beyond AI hype and deliver real, measurable business value with Generative AI.

As AI moves rapidly from experimentation to production, Gen AI Stack provides clarity, structured thinking, and hands-on frameworks—balancing practical business insights with advanced technical skills. The course is crafted to bridge the gap between technology and business, empowering participants to both understand and build robust, production-ready GenAI solutions.

Participants will:

Gain a solid understanding of how Generative AI works, where it creates strategic advantage, and how to adopt it responsibly and effectively within modern organizations.
Learn to architect, implement, and deploy intelligent systems that leverage the latest advances in language models, retrieval-augmented generation (RAG), and knowledge-augmented generation (KAG).
Develop expertise in advanced prompt engineering, hybrid architectures, and multimodal AI (text, images, audio, and more).
Build and deploy scalable, secure, and observable AI systems, and create intelligent agents and autonomous workflows.
Master the evaluation of AI tools and vendors, risk management, ethics, governance, and practical implementation considerations.

By the end of the Gen AI Stack course, participants will not only understand Generative AI—they will be equipped to critically assess, strategically integrate, and confidently build advanced AI applications that drive real business impact and innovation.

Who does it Concern:

Software Developers looking to transition into AI engineering
Full-Stack Engineers seeking to integrate AI capabilities into applications
Technical Leads responsible for AI implementation strategies
Product Managers with technical backgrounds wanting hands-on AI experience
Enterprise Development Teams modernizing with AI technologies

Desired Proficiency Level

Prerequisites: – Proficiency in JavaScript or TypeScript (intermediate level) – Understanding of async programming concepts – Basic familiarity with REST APIs – Experience with Node.js (helpful but not required)
Mindset: – Curiosity about AI capabilities and limitations – Willingness to experiment and iterate – Interest in building practical applications – Commitment to hands-on learning
Career Goals: – Transition to AI engineering role – Add AI capabilities to existing applications – Lead AI initiatives within organization – Build AI-powered products or startups

Technology Stack

Core Technologies: – TypeScript, Node.js, Express – React, Next.js for frontend development
AI Frameworks & SDKs: – OpenAI SDK, Anthropic SDK (Claude), Google GenAI SDK (Gemini) – Vercel AI SDK, LangChain, Mastra, VoltAgent, LLM-EXE
Vector Databases & Knowledge Systems: – pgvector, Pinecone, Weaviate, Qdrant, Milvus
AI Models: – GPT-4, Claude, Gemini, LLaMA, Mistral

Fundamentals for AI Engineers

Transform from developer to AI engineer with production-ready TypeScript skills. This intensive module equips you with the essential toolkit for building robust, type-safe AI applications. Learn why Microsoft’s TypeScript has become the language of choice for AI engineering—catching errors before they reach production and providing the reliability enterprise AI systems demand.

Foundations of Generative AI

Demystify generative AI and understand what’s really happening under the hood. This module bridges the gap between AI hype and practical implementation, giving you the conceptual foundation and hands-on experience to make informed decisions about model selection, cost optimization, and architecture design.

Working with LLMs

Move beyond basic API calls to production-grade LLM integration. This hands-on module teaches you the patterns and practices used by leading AI companies to build reliable, scalable, and safe AI applications. Master streaming responses, function calling, error resilience, and content safety—the skills that separate prototype demos from production systems.

Retrieval-Augmented Generation (RAG)

Transform generic LLMs into domain experts with Retrieval-Augmented Generation. Learn the architecture that powers ChatGPT plugins, enterprise AI assistants, and intelligent search systems. This module teaches you to build AI applications that can answer questions using your proprietary data, documentation, or knowledge bases—with accuracy and citations.

AI Frameworks and Agent Development

Enter the frontier of AI engineering: autonomous agents that can reason, use tools, and complete complex tasks. This module teaches you to build the next generation of AI systems—agents that don’t just respond to prompts but actively solve problems, call functions, and interact with external systems. Master the frameworks that are defining the future of AI applications.

Building Real-World GenAI Web Applications

Bridge the gap between AI capabilities and user experience. This module teaches you to build complete, production-ready web applications that leverage generative AI. Learn to create responsive, interactive interfaces that make AI accessible and delightful for end users—using the web frameworks you already know (React, Angular, Vue) enhanced with AI superpowers.

Ethics, Evaluation, Security

Great AI engineering isn’t just about what works—it’s about what’s right, safe, and compliant. This critical module equips you with the knowledge to build AI systems that are ethical, secure, and ready for regulatory scrutiny. Learn to detect and mitigate bias, prevent hallucinations, defend against attacks, and navigate the evolving regulatory landscape.

Final Project

Put everything together in a capstone project that demonstrates your AI engineering capabilities. Working independently or in teams, you’ll design, build, and deploy a complete GenAI application using TypeScript—from architecture to production deployment. This is your opportunity to create a portfolio piece that showcases your skills to employers and clients.

Advanced Prompt Engineering Patterns

Move beyond basic prompting to the sophisticated techniques used by AI research labs and leading companies. This advanced module teaches you Chain-of-Thought reasoning, ReAct agent patterns, and Self-Ask decomposition—the prompting strategies that unlock complex reasoning and reliable tool use. Plus, learn to defend your systems against prompt injection attacks.

RAG + KAG Integration

Take retrieval-augmented generation to the next level by integrating knowledge graphs. This cutting-edge module teaches you to build hybrid systems that combine the flexibility of vector search with the structured reasoning of knowledge graphs—solving RAG’s limitations in logical reasoning, temporal contexts, and multi-hop queries. Build AI systems that can both retrieve and reason.

Multimodal AI Development

Break free from text-only AI and build systems that process the full spectrum of human communication. This advanced module teaches you to work with multimodal AI models that can understand images, audio, video, and text in a unified architecture. Learn to build applications that can analyze documents, transcribe meetings, search through video content, and create rich multimedia experiences.

Advanced Patterns for AI Applications

Leverage TypeScript’s advanced features to build AI applications that are robust, maintainable, and performant. This module teaches you TypeScript-specific patterns and techniques that elevate your AI code from functional to exceptional. Learn to use generics, higher-order functions, and design patterns to create reusable, type-safe AI components that scale.

Enterprise-Grade AI Systems

Learn to build AI systems that meet enterprise requirements for scalability, security, monitoring, and compliance. This comprehensive module covers the operational aspects of AI engineering—from microservices architecture to observability to cost management. Gain the skills to deploy AI applications that can handle millions of users, meet SLAs, and satisfy auditors.

Prompt Engineering UI Patterns

collaboratively. This specialized module teaches you to build prompt engineering platforms—the tools that make prompt development systematic, testable, and collaborative. Learn to create interfaces for template management, A/B testing, version control, and self-reflection that accelerate AI development.

AI Agents and Autonomous Systems

Master the cutting edge of AI engineering: autonomous agents that can decompose goals, use tools, maintain memory, and complete complex tasks with minimal human intervention. This advanced module teaches you to build multi-agent systems with sophisticated memory, tool integration, and coordination—the architecture behind the most impressive AI demonstrations and products.

Final Project

Synthesize everything you’ve learned into a sophisticated AI system that showcases advanced engineering capabilities. This capstone project is your opportunity to build something truly impressive—a multimodal RAG+KAG system, an autonomous agent platform, an enterprise-grade AI application, or a prompt engineering platform. Create a portfolio piece that demonstrates mastery of advanced AI engineering

Why Join this Course

TypeScript-First Approach: Unlike Python-centric AI courses, this course teaches GenAI engineering in TypeScript—giving you a competitive edge with type-safe development, seamless integration into modern web applications, and the ability to ship AI features in the same language your frontend and backend teams use. Build production-ready AI without the language barrier.
Production-Ready Focus: Every module emphasizes real-world patterns including error handling, streaming, cost optimization, and security
Hands-On Intensity: 67% of training time dedicated to practical labs and projects
Framework Diversity: Exposure to multiple AI frameworks enables informed technology selection
Enterprise Readiness: Advanced modules cover scalability, monitoring, security, and deployment strategies essential for business applications

Training Benefits

By the end of the course, participants will be able to:

Understand how to design and architect advanced Generative AI systems that combine large language models (LLMs), retrieval-augmented generation (RAG), and knowledge-augmented generation (KAG).
Gain hands-on experience implementing sophisticated prompt engineering strategies (such as Chain-of-Thought, ReAct, and Self-Ask) to improve AI reasoning and reliability.
Be able to build hybrid AI applications that integrate both unstructured (text, documents) and structured (knowledge graphs) data sources for smarter, context-aware solutions.
Develop and deploy multimodal AI systems capable of processing and generating text, images, audio, and video.
Master TypeScript-specific patterns for robust, maintainable, and scalable AI application development.
Learn to create, deploy, and monitor enterprise-grade AI systems with best practices in security, scalability, observability, and CI/CD pipelines.
Build intelligent agents and autonomous workflows that can reason, plan, and execute complex tasks with minimal human intervention.
Design and implement user interfaces for prompt engineering and effective AI interaction.
Critically evaluate and select AI tools, frameworks, and deployment strategies for real-world business needs.
Complete a capstone project that demonstrates their ability to deliver a production-ready GenAI application, integrating all the skills and concepts learned throughout the course.

Drive AI Transformation Across Your 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.

Become a GenAI-Ready Expert

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.

FAQ

What are the prerequisites for this course?

You’ll need solid proficiency in TypeScript/JavaScript (writing functions, working with objects/arrays, async/await patterns), familiarity with Node.js and modern development tools, and a basic understanding of APIs and data structures. No machine learning background is required, but you should be comfortable reading technical documentation and working with npm packages.

Why does this course use TypeScript instead of Python?

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.

What topics and technologies will be covered?

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.

What will I learn in this course?

Τhe Foundations track teaches you to build functional GenAI applications with TypeScript, covering LLM integration, RAG systems, basic agents, and web applications.
The Architecture track focuses on production-grade patterns including sophisticated prompt engineering, RAG+KAG hybrid systems, multimodal AI, autonomous agents, and enterprise architecture. Think of Foundation as “building AI apps” and Advanced as “building AI systems at scale.”

What will I be able to build after completing this course?

Advanced projects include:
- Chain-of-Thought reasoning system with prompt injection protection
- Hybrid RAG+KAG system with knowledge graph integration
- Multimodal search application (text, image, audio)
- Autonomous agent with tool use and memory
- Enterprise-grade AI system with monitoring and security
- Prompt engineering platform with version control
- Final project: Production-ready AI system of your choice

Who is this course designed for?

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.

Will I receive a certificate of completion?

Yes! Upon successfully completing the course, you will receive a Certificate of Completion recognizing your hands-on expertise in Generative AI.

What jobs can I pursue after completing this course?

You’ll be qualified for roles like AI/ML Engineer, GenAI Solutions Architect, LLM Application Developer, AI Product Engineer, and Full-Stack AI Developer. The skills are in high demand across tech companies, startups, and enterprises implementing AI solutions.

Will I build portfolio projects?

Yes! You’ll complete hands-on exercises in every module plus a comprehensive final project. You’ll have multiple portfolio-worthy projects demonstrating advanced GenAI capabilities to potential employers.

Is this relevant for enterprise/corporate environments?

Extremely relevant. Our modules cover enterprise-grade systems including scalability, security, monitoring, CI/CD, and deployment strategies. You’ll learn patterns used by companies deploying AI at scale.

Can I apply these skills to my current job immediately?

Yes! The course focuses on production-ready patterns and real-world use cases. Many participants implement learned techniques in their current roles during the course, particularly in areas like customer support automation, document analysis, and intelligent search.

GEN AI Stack Certificate

At a Glance

16

Modules

70+

Hours of Training

∞

Frameworks & Insights

The Gen AI Diploma for Technical Product Managers, Business Intelligence & Tech Teams!

Get Certified

Duration

TRAINING TYPE

What to Expect

Curriculum & About

About

Who does it Concern:

Desired Proficiency Level

Technology Stack

Drive AI Transformation Across Your Organization

Become a GenAI-Ready Expert

FAQ

Become a Certified GEN AI Expert

Product Management - Certificate

Mastering Gen AI in Product Development

GEN AI Foundations

Advanced GEN AI Architecture Certificate

TRAINING

SUMMITS

Disrupt AI Collective

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GEN AI Stack
Certificate

Mastering Gen AI in
Product Development