Log In
Sign Up
Learn AI the way Gen Z actually learns it.
Two career-ready programs — AI Technical Foundations and the Generative AI Course — built with live classes, real projects, and mentors who've actually shipped AI in production.
✦ Gen Z's Way of LearningWhy Most People Fail With AI
It's not the tools. It's the chaos. Here's what's actually going wrong.
Too much content. Zero structure.
Everyone throws prompts and tools at you. Nobody shows you how to connect them into one usable system.
Tutorials are too technical.
Neural networks, embeddings, transformers — useless detail for most people who just want to get work done faster.
AI hacks don't transform careers.
"10 viral prompts" won't change your trajectory. You need a system that compounds every day, not a hack.
Everyone does AI wrong.
Prompting blindly. Switching tools daily. AI only pays off with structured thinking and repeatable workflows.
Everything you need to actually get hired, not just certified.
A program built around outcomes — not just video lectures.
Live Classes
Interactive live sessions with mentors, not pre-recorded monologues — ask, debug, and build in real time.
Recorded Videos
Every live session is recorded so you can revisit modules, revise before interviews, and never fall behind.
Internship Opportunity
Apply classroom learning to real work through an internship opportunity extended to program learners.
Mock Interviews
Practice with structured mock interviews modeled on real AI engineering interview patterns before you sit for the real one.
Resume Review
Get your resume reviewed and sharpened specifically for AI / ML / GenAI roles, not a generic template.
Expert Mentors
Learn from tutors with 10+ years of experience who translate real industry practice into every module.
Two courses. One clear path from fundamentals to production AI.
Start with AI Technical Foundations, then move straight into the Generative AI Course — or join whichever fits where you're starting from.
AI Technical Foundations
The conceptual and mathematical bedrock every AI-adjacent hire needs — AI vs ML vs DL vs GenAI, math intuition, core machine learning, neural networks, how LLMs actually work, and responsible AI. Concept-first with guided hands-on demos.
- Format Concept-first + guided hands-on
- Level Beginner friendly
- Checkpoints After Modules 1, 3, 5
- Final assessment Scenario-based
- Certificate On passing final assessment
- Leads into Generative AI Course
Hands-on: explore live model demos (image classifier, clustering visualizer) and discuss what's happening under the hood — no coding required.
Hands-on: walk through a small public dataset — inspect distributions, missing values, and train/validation/test splits.
Hands-on: guided walkthrough of training a classifier and a clustering model, reading evaluation metrics together.
Hands-on: use a visual tool (e.g. TensorFlow Playground) to watch a network train and adjust layers/learning rate live.
Hands-on: prompt two different LLMs with the same query, compare outputs, and diagnose why using the mechanics covered.
Closing roadmap connecting straight into the Generative AI course.
Generative AI Course
Go from prompt engineering to production — RAG, LLM APIs, AI agents, automation, multimodal AI, fine-tuning, evaluation, and full deployment, backed by real portfolio projects across every module.
- Prerequisite AI Technical Foundations
- Format Project-based
- Capstone 6 portfolio projects
- Frameworks LangChain, LangGraph, CrewAI
- Deployment FastAPI, Docker, Cloud
- Certificate Yes, on completion
🎁 Bonus inside the Generative AI Course: Interview-Ready System Design
Master the 7 design patterns AI engineering interviews test for in 2026 — grounded in real production trade-offs, not just definitions.
Everything included, under one program
| What you get | Typically | With AI University |
|---|---|---|
| Structured AI/ML foundations training | Varies widely | Included |
| Full Generative AI curriculum + 20 projects | Varies widely | Included |
| 1:1 resume review for AI/ML roles | Paid service | Included |
| Structured mock interviews | Paid service | Included |
| Internship opportunity | Hard to access | Included |
| Certificate of completion | Varies | Included |
AI Technical Foundations vs. Generative AI Course
Not sure where to start? Here's how the two programs are designed to work together.
| AI Technical Foundations | Generative AI Course | |
|---|---|---|
| Best for | Freshers with no ML/AI background | Anyone ready to build & deploy AI apps |
| Duration | 15 hours · 6 modules | 15 modules · project-based |
| Style | Concept-first, guided demos | Hands-on, build-and-ship |
| Core topics | AI/ML/DL basics, math intuition, core ML, neural networks, LLM mechanics | Prompt engineering, RAG, agents, automation, fine-tuning, deployment |
| Projects | Guided walkthroughs & demos | 20+ builds incl. chatbot, RAG apps, AI agents, capstone SaaS app |
| Ends with | Bridge into the Generative AI Course | Production-ready GenAI capstone project |
Not just knowledge. Proof you can do the job.
Taught by mentors who've actually built AI in production
Every module is led by tutors with 10+ years of industry experience — so you learn how AI systems are really built, evaluated, and shipped, not just how the theory reads on a slide.
Our Instructors
Learn directly from engineers who build AI and software for a living.
Satyajeet Wale
AI Engineer · Founder, Common Jobs
Leads AI engineering at Common Jobs and shapes the curriculum around real production experience — not just theory.
Common JobsAkshay Muthal
Software Engineer, Atlassian
Brings real, production-grade software engineering practice from Atlassian directly into every session.
AtlassianMohit
Google Summer of Code Alum
Open-source experience from Google Summer of Code shapes a hands-on, build-first teaching style.
Google Summer of CodeWhat learners are saying
"I was confused about where to start with AI because there are so many topics and tools available. The End-to-End AI Course gave me a proper roadmap from the basics to advanced concepts. I especially liked the practical projects because I was able to actually build things instead of just watching lectures."
"What I liked most about the course was the practical approach. Python, Machine Learning, Deep Learning and Generative AI were explained step by step in a way that was easy to understand. The projects also helped me improve my confidence and gave me something meaningful to showcase on my resume."
"I had learned some Python before but didn't know how everything connected to AI. This course helped me understand the complete journey — from data and ML fundamentals to building AI applications. The career guidance and interview preparation were also really useful for me as a fresher."
"I joined because I wanted to build a career in AI but didn't have a clear learning path. The course was structured really well and covered both AI fundamentals and Generative AI. The hands-on assignments made a big difference because I could apply what I learned immediately instead of only studying theory."
"Honestly, the biggest advantage for me was having everything in one structured course. Instead of jumping between YouTube videos and different courses, I could follow one roadmap and work on projects along the way. It helped me understand what skills I actually need to become job-ready in AI."
Talk to a Counsellor
Not sure which course fits you? Share your details and our team will call you back to help you choose the right path.
Finish with a certificate that backs up what you built.
AI University Certificate of Completion
Issued on passing the final assessment for each course — a scenario-based evaluation that tests judgment, not memorization. Stack both certificates by completing AI Technical Foundations and the Generative AI Course back to back.
Checkpoint assessments
Short conceptual checkpoints through the course so gaps get caught early, not at the final exam.
Scenario-based final assessment
"Given this business problem, which technique fits and why?" — judgment over rote recall.
Portfolio-ready capstone
Finish the Generative AI Course with real, demoable projects — not just a slide deck.
Resume-ready credential
Combined with a 1:1 resume review, so your certificate actually shows up where it matters.
Quick answers before you join.
No. AI Technical Foundations is designed for freshers with just basic programming and math exposure — no prior ML or deep learning experience required.
Yes — if you already understand ML/LLM basics you can start directly with the Generative AI Course. If you're newer to AI, we recommend starting with AI Technical Foundations first.
Both. You get live interactive classes with mentors, and every session is recorded so you can revisit modules anytime.
Yes, learners get access to an internship opportunity to apply what they've built in a real-world setting.
Yes — structured mock interviews, a 1:1 resume review, and a bonus module covering the system-design patterns AI engineering interviews test for.
Yes, a certificate of completion is issued for each course on passing its final scenario-based assessment.
Tap the WhatsApp button on this page and message us directly — we typically respond quickly during business hours.
Ready to learn AI the Gen Z way?
Join AI University by CommonJobs — live mentorship, real projects, and a certificate that proves it.
