![agentic-ai-hero3.jpg](agentic-ai-hero3.jpg) :::highlight{title="Agentic AI Developer Certification"} Join 30,000+ learners from 130+ countries in Ready Tensor’s self-paced, beginner-friendly certification. You’ll design, build, and deploy production-minded agentic AI systems using LangChain/LangGraph, RAG, guardrails, and lightweight deployment patterns. Finish all three projects to earn the Agentic AI Developer Certificate; complete any single project to earn a micro-certificate and shareable badge. ::: --- # Why This Program Matters Agentic AI is moving beyond chatbots — it’s becoming an engineering discipline. This program focuses on the skills teams actually hire for: LLM-based workflows, planning and tool use, retrieval and memory, multi-agent coordination, safety and testing, and deployment with real-world constraints. Your proof isn’t just a certificate — it’s public, review-backed projects you can show to employers. # What You’ll Learn Develop the capabilities that today’s top AI teams rely on. By the end of this program, you’ll be able to: - Build RAG-powered AI assistants with LangChain and vector databases - Design stateful agent workflows using LangGraph with loops and tool integration - Create multi-agent systems with specialized roles and coordination patterns - Integrate external tools via MCP protocol and evaluate with RAGAS/DeepEval - Implement testing strategies, security guardrails, and safety validation - Deploy production-ready systems with FastAPI/Streamlit - Add monitoring, logging, and resilient failure handling - Master observability tools and compliance for enterprise deployment # What You’ll Build Each module centers on a hands-on project designed to strengthen your skills and showcase your capabilities in real-world, production-ready systems. **Module 1: RAG-Powered AI App** Build a question-answering assistant with custom document knowledge, conversation memory, and semantic retrieval. **Module 2: Multi-Agent System** Create a collaborative system with 3+ specialized agents that coordinate to solve real problems using multiple tools. **Module 3: Production-Ready Application** Transform your multi-agent system into a deployable app with full testing suite, monitoring, and professional documentation. # What You’ll Earn Every project you complete earns more than just experience — it builds a verified record of your skills, recognized across the AI industry. **Agentic AI Developer Certificate** Your primary credential demonstrating expertise in designing, building, and deploying agentic AI systems. **3 Micro-Certificates** Earn a certificate for each module as you progress through the program: * **RAG Systems Expert** * **Agentic AI Builder** * **Agentic AI Engineer** **4 Digital Badges** Showcase your achievements on LinkedIn and professional platforms with shareable, verifiable badges. **3 Portfolio Projects** Publish your completed projects on Ready Tensor — each with real code, documentation, and public visibility to employers and peers. # Who This Program Is For This certification is built for technically curious professionals and students who want to move beyond prompt tinkering and start **building real, autonomous AI systems**. If you’re ready to design, deploy, and showcase agentic intelligence — this is for you. **Ideal for:** * **Software Engineers** looking to add AI workflow and tool integration skills * **AI/ML Developers** eager to master LangChain, LangGraph, and agent orchestration * **Data Scientists and Analysts** who want to move from modeling to end-to-end AI systems * **Students** in Computer Science, AI, or Analytics programs preparing for industry roles * **Technical Product Builders and PMs** seeking hands-on understanding of how modern AI systems are built **⚠️ Note:** This is a **code-driven** program. Intermediate Python experience is required. # Program Prerequisites Before you dive in, make sure you’re comfortable with the core technical foundations. You don’t need to be an AI expert — but you should be fluent enough with Python and basic software workflows to bring ideas to life. **Required Skills:** * Intermediate **Python programming** (functions, classes, and modules) * Familiarity with the **command line** and virtual environments * Experience using **GitHub** or similar version control systems * Understanding of **APIs and HTTP requests** * Comfort working with **chatbots** (ChatGPT, Claude, etc.) **Recommended (but not required):** * Basic understanding of **AI/ML concepts** (embeddings, inference, vector search) * Familiarity with **LangChain, LangGraph, or agentic libraries** * Exposure to **vector databases** like FAISS, Chroma, or Pinecone * Experience building **LLM tools or APIs** * Basic deployment knowledge using **FastAPI, Gradio, or Streamlit** --- # How to Enroll Getting started takes just a few minutes. Whether you’re new to Ready Tensor or already part of the community, you can join the certification and start learning right away.

If you don’t have a Ready Tensor account yet:

1. **Register for a free account** on Ready Tensor. [Sign up here](https://app.readytensor.ai/signup). 2. Complete a quick onboarding process: * Add your name and optional details like location, organization, and short bio. * On the “Certification Program” selection page, choose **Agentic AI Developer Certification**. 3. You’ll be enrolled instantly and redirected to the **Lessons** page to begin.

If you already have a Ready Tensor account:

1. Visit the **Certifications** page from the top navigation menu. 2. Select the **Agentic AI Developer Certification** card. 3. Click **“Enroll for Free”** in the banner at the top of the page to join the current cohort. --- # How the Program Works This is a **project-based certification program** — you earn your credentials by **designing, building, and deploying agentic AI systems** that meet defined technical and documentation standards. The program is divided into **three modules**, each ending with a hands-on project: * **Module 1: Foundations of Agentic AI** Covers prompting, embeddings, and retrieval-augmented generation (RAG). Completing this module earns the **RAG Systems Expert** micro-certificate. * **Module 2: Architecting Agentic Systems** Focuses on workflow design, multi-agent collaboration, and MCP integration. Completing this module earns the **Agentic AI Builder** micro-certificate. * **Module 3: Preparing for Real-World Use** Teaches safety, evaluation, and deployment for production-quality systems. Completing this module earns the **Agentic AI Engineer** micro-certificate. Completing **all three modules** and passing their projects earns the **Agentic AI Developer Certificate** — your full program credential. --- ## Learning Format You’ll work through structured **lessons, walkthrough videos, and example code** designed to help you complete each project step by step. The program follows a **12-week structure**, but you can move entirely **at your own pace** — faster or slower as your schedule allows. Each module blends **concepts, coding, and project work**, guiding you from idea to implementation through the same tools used by professional AI engineers. --- ## Projects and Submissions You can complete projects **individually or in teams of up to five members**. Teamwork is encouraged — it mirrors real-world agentic system development. Each project is submitted as a **Ready Tensor publication**, which includes: * Your **project documentation** (the write-up) * A linked **GitHub repository** with your implementation Submissions are reviewed using **technical rubrics** specific to each project’s goals and complexity. --- ## Evaluation Process * Each project must achieve a **minimum score of 70%** to qualify for certification. * Reviewers provide **constructive feedback** if revisions are needed. * You can **resubmit** after addressing feedback — reviews are iterative and supportive. * Once approved, your **certificate and badge** are issued automatically. --- :::important{title="Program Flexibility"} ## Project Submission Schedule This is a **self-paced** program. There are **no fixed deadlines** — you can complete lessons, build projects, and submit them **whenever you’re ready**. Every month has a **project submission due date**. Projects submitted by that date are reviewed in that month’s batch. If you miss the date, you can submit **anytime afterward** — your project will simply move to the **next month’s review cycle**. Reviews are usually conducted during the **two weeks following each due date**, depending on the volume of submissions. The monthly schedule only affects when your submission is reviewed, not when you are required to submit. You can plan your progress around the due dates that best fit your timeline. ::: --- # Learn From Industry Experts This program isn’t taught by theorists — it’s led by practitioners who build and deploy agentic AI systems every day. **Abhyuday Desai, Ph.D. — CEO & Founder, Ready Tensor** With over 20 years in AI and enterprise ML, Abhyuday has led deployments for Fortune 500 companies and now heads Ready Tensor’s research on autonomous agents, guardrails, and multi-agent evaluation frameworks. The projects in this certification are modeled after **actual R&D work at Ready Tensor** — including systems for automated assessment, generative authoring, and publication-based Q&A. You’ll gain insights grounded in how modern AI is built, tested, and shipped in production environments. Expect guidance that’s not just theoretical — but reflective of the **real challenges and workflows** used by AI teams today. --- # Start Building the Future The future of AI is agentic. Companies need developers who can build these systems. **This certification gives you:** - The skills to design and deploy agentic AI systems - Three portfolio-grade projects that prove your abilities - Professional credentials recognized by employers - A community of 30,000+ learners worldwide Join the Program Today! ---

Agentic AI Developer Certification Program