Mastering Agentic AI: Certification by The Gen Academy
Build the skills and systems knowledge to become the top 0.1% in AI Builders!
Categories: Agentic AI, Generative AI
Limited-time: use code AGENTNATH for 20% off · ends 31 Aug 2026
Taught 1 time to 1 learner
Description
Learning outcomes
- Build agentic AI systems from scratch using production engineering principles
- Architect multi-step AI pipelines that are reliable and ready to deploy
- Complete a full capstone project demonstrating end-to-end system design
- Apply concepts from guest lectures delivered by engineers at partner AI companies
- Evaluate tradeoffs when designing agentic workflows for real-world use cases
- Ship working AI projects you can use to demonstrate applied skills to employers
What's included
2 live sessions
Learn directly from Nathalia in real time, not from a recording.
Recording access
Rewatch for 30 days after each session is delivered.
1-on-1 feedback
One 1 hour session on the week 3
Maram Guarantee
Your purchase is backed by the Maram Guarantee.
2 weeks · 2 live sessions · tap a week to see what we'll cover
Week1Session 1Thu, 06 Aug 2026, 4:15 PM – 4:30 PM GMT+8
Week2Session 2Thu, 13 Aug 2026, 4:15 PM – 4:30 PM GMT+8
Projects
Build Your First AI Agent
Create your own AI Agent that will be useful for your daily life
Reviews appear here once 3 learners have completed this session.
Who is this cohort designed for?
This program is built for people who already have some exposure to AI tools and want to move into building and deploying production-ready agentic systems. If you are a developer, engineer, or technical practitioner looking to work seriously with agentic AI rather than just experiment with it, this is aimed at you.
What prior knowledge or experience do I need before joining?
You should have a working foundation in programming and some familiarity with AI concepts before enrolling. This is not an introduction to AI from scratch, it picks up from a point where you are ready to think about architecture and deployment.
How is the program structured and how long does it run?
The cohort runs over six weeks and is delivered live, so you will be learning alongside other participants in real time rather than working through pre-recorded material at your own pace. The curriculum builds progressively toward a capstone project you complete by the end of the program.
What do I walk away with at the end?
You finish with a completed capstone project that demonstrates you can design and ship an end-to-end agentic AI system, along with a certification from The Gen Academy. The project is meant to be something you can point to as evidence of your ability to build production-ready pipelines.
Who developed the curriculum and teaches the sessions?
The curriculum was developed by practitioners who have built AI systems at companies including Google, Microsoft, Adobe, IBM, and Fireworks AI. Sessions are live, so you have the opportunity to ask questions and engage directly with the instructors.
Is this cohort self-paced or do I need to attend at specific times?
The cohort is live, which means sessions are scheduled and you are expected to participate in real time with your cohort. If you need full flexibility to learn on your own schedule, this format may not be the right fit.
What's the refund policy?
Your purchase is backed by the Maram Guarantee.
Your AI Practitioner
Nathalia Nelson
AI Educator | Practitioner
An independent AI consultant and workshop facilitator based in London, with prior roles at BrightPath Learning Group and Northbridge Studio. She designs repeatable prompt systems, AI workflow playbooks, and adoption programmes for founders, consultants, and professional-services teams — bridging the gap between emerging AI capabilities and everyday knowledge work. She has delivered live training across prompt engineering, generative AI, AI-assisted research, and responsible AI use, working effectively with both technical and non-technical audiences.
More from Nathalia
Bundles, workshops, cohort programs, and Sprint Lessons from this practitioner.
