Gen AI Certification Programs Pricing Plans
Courses are released on March 31st, 2026
Register by February 6th, 2026 to save up to 17% on each plan
Super Early
Gen AI Foundations Certificate
On-Demand Training
1200€ Excl. VAT
Super Early
GEN AI Architecture Certificate
On-Demand Training
1200€ Excl. VAT
Super Early
Gen AI Stack Certificate
On-Demand Training
2400€ Excl. VAT
Standard
AI Product Management
On-Demand Training
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.