Unit 1: Practitioner Foundations
Sessions 1–4- ›From literacy to practice
- ›Anatomy of a great prompt
- ›Advanced prompting: chain-of-thought and few-shot
- ›Working with long context and documents
- Advanced Prompt Engineering
- Context Management
← AI Institute
✨Gen AI
From using AI to building with it.
A practitioner-level programme for learners ready to move past prompting into building real generative AI tools, covering structured outputs, retrieval-augmented generation, and applied builds in your own domain.
- 16 sessions
- Intermediate level
- Recommended: AI – Core or equivalent working AI fluency
- 16 weeks at 1 hour a week
- Live weekly cadence with a NASCA instructor
Quick answer
Gen AI is a intermediate programme from NASCA: 16 sessions, taught live by a NASCA instructor, closing with a NASCA × World STEM Federation certificate.
From using AI to building with it.
What you'll learn
- ✓
Write advanced, structured prompts and control model output format
- ✓
Build with generative AI beyond text: image, audio and structured data
- ✓
Understand and apply retrieval-augmented generation (RAG)
- ✓
Evaluate AI output quality and deploy generative tools responsibly
Skills you'll gain
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Structured Data Generation
- API Integration
- LLM Application Building
- Output Evaluation
- Responsible AI Deployment
- Multimodal Generation
Tools you'll use
- ChatGPT
- Claude
- No-code AI builders
- RAG and document Q&A tools
- Image and audio generation tools
Details to know
- •Shareable NASCA × World STEM Federation certificate
- •Add it to your LinkedIn profile
- •Taught in English
- •Live instructor-led sessions, recordings available
Programme overview
Gen AI is where NASCA's ladder moves from literacy into practice. Most generative AI courses stop at better prompting. This one keeps going, into the structured outputs, retrieval systems and lightweight tool-building that separate an AI user from an AI practitioner. These are the exact skills carrying the strongest salary premium for professionals moving into AI-adjacent work in 2026.
Applied learning project
In a dedicated domain application lab you design and build a working generative AI tool for your own job or field, a research assistant, a content generator or a document Q&A system, then present it as a live capstone build.
The curriculum
Unit 2: Building with Gen AI
Sessions 5–8- ›Generative AI beyond text: image, audio, video
- ›Introduction to APIs
- ›Building a simple AI-powered tool
- ›Structured outputs: JSON and tables
- Multimodal Generation
- API Integration
- LLM Application Building
Unit 3: Retrieval & Evaluation
Sessions 9–12- ›RAG fundamentals
- ›Hands-on RAG build
- ›Fine-tuning versus prompting versus RAG
- ›Evaluating output quality with rubrics and A/B testing
- Retrieval-Augmented Generation (RAG)
- Model Selection
- Output Evaluation
Unit 4: Deployment & Capstone
Sessions 13–16- ›Responsible deployment, guardrails and moderation
- ›Domain application lab
- ›Capstone build session
- ›Capstone demo
- Responsible AI Deployment
- Applied Building
- Presentation
Earn a certificate
Complete all 16 sessions and the capstone build to earn a shareable NASCA × World STEM Federation certificate.
Offered by NASCA, accredited by the World STEM Federation.
Take a seat in the next Gen AI cohort.
Tell us your role and where in the world you're based. We'll place you in the cohort and timezone that fits your week.