Program Prerequisites
This is a technical program. You should be comfortable writing Python code and working with APIs.
Required Skills:
- Intermediate Python programming (functions, classes, modules)
- Familiarity with APIs and HTTP requests
- Understanding of basic AI/ML concepts (embeddings, inference)
- Experience with LLMs (ChatGPT, Claude, etc.)
- Comfort with the command line, GitHub, and Python environments
Recommended Skills:
- LangChain, LangGraph, or agentic libraries
- Vector DBs (FAISS, Chroma, Pinecone)
- LLM tools or assistants built via APIs
- FastAPI, Gradio, or Streamlit experience
Certification Options
Program Access
- Access to lectures, articles, project instructions, and templates is free for all users.
- If you want expert feedback, personalized support, and an official certificate, you can opt into the Certification Track.
Free Plan:
- Access weekly lectures and articles
- Use project instructions and templates
- Complete your project and publish your work at your own pace (no expert review)
Certification Track (Available to Pro/Team Subscribers):
- Structured project review and personalized expert feedback
- Official Certificate and Project Badges
- Priority support and Q&A with AI experts
- 1-1 Interview prep guidance by AI experts for AI/ML engineer roles (available while on an active Pro or Team subscription)
How to Join the Certification Track:
- The Certification Track is available to Pro and Team subscription members.
- Prior competition winners already with a 1-year or 6-month Pro subscription automatically qualify.
- Others can join by subscribing to a Pro or Team plan on a monthly basis.
- You must maintain an active Pro or Team subscription for the duration of the certification program.
- Subscriptions can be discontinued at any time after completing the program.
How Certification Works
To earn the official Agentic AI Developer Certificate, you must:
- Complete all 3 hands-on projects
- Submit projects individually or as part of a team (max 5 people)
- Score at least 60% on each project based on the evaluation rubric
- Publish each project publicly on Ready Tensor with a write-up and repo link
- Final project is reviewed in Weeks 13–14 after the program ends
What’s Not Covered
This is not a deep learning, DevOps, or software development bootcamp. The focus is on using LLM APIs and building systems with them — not on training models or managing ML infrastructure.
We do NOT cover:
- Model training or fine-tuning
- Self-hosting of foundation models
- Full-scale ML-Ops or CI/CD pipelines
- Enterprise security frameworks
- Advanced front-end development (React, etc.)
Why Choose Ready Tensor
At Ready Tensor, we don’t just teach agentic AI, we build with it. Our team is actively developing real-world systems that use Gen AI and agentic architectures, including projects in conversational AI, generative authoring, and automated assessment.
The projects in this certification program aren’t classroom exercises - they are modeled after the actual R&D work happening at Ready Tensor. You will be solving real problems with real tools, following an industry-style workflow.
For each module, a Ready Tensor lead (your “client”) will provide project requirements. You’ll deliver weekly progress updates, receive direct feedback, and iterate on your solution — just like in a professional AI team.
By the end of the program, you won’t just walk away with a certificate. You will have public, portfolio-grade projects and the kind of hands-on experience that proves you can thrive in real-world AI development.
Our Task-Driven Learning Approach
Traditional learning programs follow a predictable pattern: you sit through lectures, absorb a mountain of theory, and only later attempt assignments to apply what you (hopefully) retained.
The problem? It’s boring. Passive learning often leads to disengagement and high dropout rates. Worse, it’s completely disconnected from how real-world projects work.
In industry, you don’t learn first and act later - you’re given a business problem, and you must figure out how to solve it by acquiring the necessary knowledge and skills along the way.
That’s why we built the Agentic AI Developer Certification Program around a Task-Driven Learning model.
From Day 1 of each module, you'll receive real-world tasks and project requirements. Your goal is to complete them - drawing from our curated lectures, articles, templates, and tools, and supplementing with external research as needed.
Why This Matters:
- Makes learning fun again: Projects drive curiosity, pride, and ownership.
- Accelerates learning: Doing leads to faster, deeper understanding than passive study.
- Builds adaptive, real-world skills: Mirrors exactly how professional teams work.
We don't believe in "lecture first, application later." We believe in challenge first, learning by doing because that's what prepares you for real success in industry.
Team-Based Projects: Build Like a Real AI Team
Real-world AI systems aren’t built in isolation — and neither are the projects in this program. All projects must be completed in teams.
Team Size: 3–4 members recommended (maximum 5). Solo projects are allowed but strongly discouraged — real industry work is collaborative.
Skill Balance: Form teams based on complementary expertise for the best results. Ideally, your team should cover:
- AI/ML Theory Expert: Strong in embeddings, transformers, LLM prompting, and applied AI concepts.
- Programming Expert: Skilled in Python, Git, and clean, modular coding practices. (No spaghetti code allowed!)
- Documentation Expert: Able to write clear, polished documentation and create compelling visuals.
- UI Expert: Proficient in Streamlit or Gradio to build a functional and professional-looking demo app.
Note: One person can fill multiple roles if needed, but your team must cover all key skill areas to succeed.
If you don't have a team yet, you can look for teammates on our Discord channel. The Discord link will be shared in the email you receive with program details.
First Cohort Launching Soon
The first cohort of the Agentic AI Developer Certification Program will kick off in May 2025. Official dates will be announced shortly.
🚀 Only 100 seats are available in this inaugural cohort. Pre-register now to secure your spot and receive early access to the schedule, updates, and onboarding instructions.
This is your opportunity to be part of the first wave of certified Agentic AI developers, with direct access to expert guidance, portfolio-ready projects, and the tools shaping the future of autonomous AI systems.
