Live Online instructor-Led Training
GEN AI Stack
Certificate
Learn how to Build, Integrate, and Scale GenAI Applications – Enrollment opens in September 2025.
GEN AI Stack
At a Glance
15
Modules
10
Weeks
100+
Hours of Training
The Gen AI Diploma for Technical Product Managers, Business Intelligence & Tech Teams!
This diploma aims to equip entry-level and experienced professionals with the skills to effectively manage AI-powered products, bridging the gap between technical teams and business objectives. This course will provide a comprehensive understanding of AI fundamentals, product strategy, and ethical considerations, empowering participants to design, launch, and scale AI-driven solutions.
TRAINING COHORT
PART-TIME
DURATION
10 WEEKS
LIVE-ONLINE INSTRUCTOR LED TRAINING
HANDS ON PRODUCT
FRAMEWORKS AND USE CASES
Course Curriculum
GEN AI Systems & Deployment
Architecting for GEN AI
About
The module is designed to equip technical product managers, software engineers, analysts, and data professionals with practical skills to build, integrate, and deploy Generative AI solutions using Python. Through structured modules, participants will learn foundational GenAI concepts, gain experience working with Large Language Models (LLMs), build Retrieval-Augmented Generation (RAG) systems using additional data sources, and develop deployable AI applications. The course emphasizes applied learning through live coding sessions, guided labs, and mini-projects—ensuring that participants not only understand how GenAI works but can also implement it in real-world business contexts.
Students Characteristics & Proficiency Skill Set
- Basic proficiency in Python (e.g., writing functions, using lists/dictionaries, basic loops)
- Familiarity with Jupyter notebooks or any code editor (ability to run and modify Python code)
- Basic understanding of data structures (no need for machine learning background)
- Comfort with reading technical documentation (e.g., Python libraries or APIs)
Python for Generative AI
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.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Foundations of Generative AI
This module covers the fundamental principles behind generative AI, including how large language models (LLMs) work, what embeddings are, and the differences between various model architectures. Participants will develop a strong conceptual understanding of how GenAI systems operate and where they are most effectively applied.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Working with LLMs using Python
Participants will learn how to interact with and extract value from large language models using Python. This includes crafting effective prompts, building generation pipelines, and integrating external tools or data sources for enhanced AI responses.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Retrieval-Augmented Generation (RAG) with Python
This module introduces RAG techniques, which allow LLMs to draw from external knowledge bases. Participants will build practical pipelines that enhance model responses by incorporating their own documents and structured data, improving both relevance and accuracy.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Building GenAI Apps
Participants will apply what they’ve learned to build real-world GenAI tools such as chatbots and content summarizers. This module focuses on integrating AI capabilities with user interfaces and deploying applications using modern frameworks.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Product Discovery for RAG
Define clear, focused specifications for a Minimum Viable Product (MVP) in AI-powered products. We’ll cover aligning business goals with technical feasibility, selecting the right AI scope for an MVP, balancing iteration speed with responsible AI use, and writing lean, effective specs that guide cross-functional teams from concept to first release.
Trainer
Ioannins Papikas
CTO at E-Satisfaction / Lead Product rainer, Product-Led Hub
Ethics, Evaluation & Future Trends
This module explores the ethical challenges and evaluation methods in GenAI, including how to detect hallucinations and bias. Participants will also gain insights into the regulatory landscape and future developments in AI, such as multimodal systems and on-device models.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Final Project
Participants will work independently or in small teams to develop and present a complete GenAI application. The project reinforces all prior learning and simulates a real-world build-and-deploy scenario using open data or documents.
Trainer
Marion Nikoloudaki
Head of Data, AI/ML ITT - Lead Gen AI Trainer, Product-Led Hub
Drive AI Transformation Across Your Organization
Empower your engineering, product, or data teams with a structured, high-impact learning experience designed to drive real AI adoption. This program builds practical fluency in GenAI frameworks such as LangChain, Hugging Face, and FAISS, enabling teams to design and maintain scalable, domain-specific AI tools.
Participants will gain expertise in advanced prompt engineering, semantic search strategies, and knowledge graph integration—along with the ability to apply these techniques in real-world systems. The result is a measurable skill uplift that supports your organization’s AI transformation goals, from experimentation to production deployment.
Become a GenAI-Ready Expert
Take your career to the next level with in-demand GenAI skills that go far beyond theory. This program will equip you to build end-to-end GenAI applications using Python and large language models (LLMs), design RAG pipelines and knowledge-integrated systems, and deploy AI solutions that are both optimized and ethically responsible.
By the end of the course, you’ll have a portfolio-ready capstone project that demonstrates your ability to deliver real-world AI solutions—making you stand out to employers and teams driving AI innovation.
Become a Certified GEN AI Expert
Product Management - Certificate
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.
Mastering Gen AI in
Product Development
Learn to manage AI-driven products by mastering AI fundamentals, strategy, metrics, and ethics—bridging technical and business goals for impactful product outcomes.
GEN AI Foundations
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.
Advanced GEN AI Architecture Certificate
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.