Future is Agentic. Be Ready.

Program Overview

The Agentic AI Developer Certification Program is a free, 12-week project-based learning experience designed to equip participants with the skills to build intelligent, goal-driven AI systems.

Through hands-on projects and guided instruction, you'll explore agent architectures, multi-agent workflows, RAG pipelines, safety techniques, evaluation strategies, and real-world deployment.

By the end of the program, you’ll have three portfolio-ready projects, a deep understanding of the agentic AI stack, and a certificate from Ready Tensor that signals real-world AI readiness.

Who Is This For?

This program is ideal for technically inclined learners who want to build real-world agentic AI systems.

Whether you're a data scientist, AI engineer, or product builder, if you want to go beyond prompting and start designing AI systems with memory, tools, and autonomy - this program is for you.

Ideal for:

• AI/ML Developers and Software Engineers

• Data Scientists and NLP Enthusiasts

• Students in AI, ML, or Analytics Programs

• Technical Product Builders and PMs

⚠️ Note: This is a code-driven program. Programming experience is required.

Why This Matters (Right Now)

We’re entering the age of autonomous agents. LLMs are no longer just chatbots — they’re software components.

If you want to stay relevant in tech and AI, you need to learn how to build agentic systems that plan, reason, use tools, and act autonomously.

Benefits:

• Future-proof your skills by learning cutting-edge agentic AI concepts

• Build real-world systems that employers care about

• Master the tools behind today’s most advanced AI applications

What You’ll Learn

Module 1: Foundations of Agentic AI (Weeks 1–4)

• Understand what makes an agentic system: planning, tools, memory, and autonomy

• Build your first RAG-based app with LangChain and vector DBs

• Project: Create a question-answering AI assistant

Module 2: Architecting Agentic Workflows (Weeks 5–8)

• Learn agent execution models, planning mechanisms, and LangGraph workflows

• Implement multi-agent collaboration with messaging, task delegation, and shared memory

• Project: Build a modular, MCP-aligned multi-agent system

Module 3: Real-World Readiness (Weeks 9–12)

• Add guardrails and evaluation instrumentation to improve system reliability and measure performance

• Write automated tests, integrate robust logging, and create polished documentation

• Deploy your production-ready system using FastAPI or Streamlit

• Project: Deliver a full-stack, production-quality agentic AI system with testing, logging, evaluation, and deployment

Certification is Free — Including Expert Feedback

The certification program is completely free. All participants who complete the requirements will receive an official Agentic AI Developer Certificate.

You’ll have access to lectures, articles, project instructions, and templates — all at no cost.

Project submissions are reviewed by experts. You'll receive feedback based on practical, industry-based expectations.

How to Join the Free Agentic AI Certification Program

Step 1: Create Your Free Ready Tensor Account.

• If you haven’t already, sign up for a free account here.

Step 2: Request Access to the Certification Hub

• Once logged in, go to the Ready Tensor Certifications hub.

• Click the “Join Hub” button at the top of the page. That's it - you are part of the program!

New cohorts begin each month. You can start learning anytime — just submit each project by the cohort deadlines to qualify for certification in that cycle. Learn more in this Program Guide.

Monthly Cohorts — Start Anytime

The Agentic AI Developer Certification Program follows a monthly cohort model.

Start learning whenever you're ready, and submit each module's project by the listed deadline to be included in that month's cohort review.

🚀 Submissions are evaluated monthly — no need to wait for a fixed start date. You learn at your own pace and earn certification once you complete all three projects.

View the full cohort calendar and deadlines in the Program Guide.

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

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.