Abstract

The Agentic AI Developer Certification Program by Ready Tensor is a hands-on, project-based learning journey structured over 12 weeks. It aims to equip participants with practical skills in designing, building, testing, and deploying agentic AI systems—including RAG assistants, multi-agent workflows, and production-ready applications. The certification emphasizes autonomy, reasoning, tool-use, and collaboration, culminating with digital badges and portfolio-ready projects for career advancement

Introduction

Agentic AI represents a new paradigm where systems actively reason, plan, and execute tasks with autonomy. The Ready Tensor certification addresses the industry’s demand for developers who can create, evaluate, and deploy agentic AI solutions. The program covers foundational concepts, architectural design, practical experimentation, and productionization, encouraging a global community of builders and innovator

Related work

The certification builds upon recent benchmarks in agentic workflows (LangChain, LangGraph), research on RAG systems, multi-agent platforms, and best practices in AI deployment and monitoring. Incorporates lessons from open-source AI, collaborative projects, and academic competitions. Participants engage with the latest frameworks and evaluation protocols in AI engineering

Methodology

Module 1: Foundations of Agentic AI & RAG

Module 2: Architecting Multi-Agent Collaboration

Module 3: Productionizing and evaluating agentic systems

Each module includes lessons, code examples, weekly exercises, and a hands-on project evaluated for certification.​​

Emphasizes real-world scenarios, peer reviews, and technical documentation.

Final certification requires successful project submissions meeting scoring criteria.

Experiments

RAG-based question answering assistants.

Multi-agent orchestration for complex tasks.

Real-world system deployment with safety, security, and monitoring.​

Each experiment is evaluated based on public datasets, custom tasks, and peer/community feedback.

Results

Graduates demonstrate expertise in designing autonomous agents, integrating retrieval and generation, building scalable multi-agent workflows, and responsibly deploying systems. Projects meet industry standards for robustness, adaptability, and performance. Over 1,900 developers worldwide have completed or joined the program, reflecting global impact and recognition.​​

Discussion

Success relies on hands-on engagement, iterative development, and systematic evaluation. Building agentic systems requires not just prompt engineering but architectural and operational thinking. The community provides valuable feedback, while certification standards encourage high-quality deliverables

Conclusion

Ready Tensor’s Agentic AI Developer Certification advances the global landscape for AI engineers. Participants gain portable skills, recognized credentials, and the confidence to design, evaluate, and deploy agentic AI systems for modern applications

References

Official Ready Tensor Agentic AI Certification Program Repository​

Program overview and LinkedIn announcements​​

Certification tutorials and YouTube guide

Acknowledgements

Thanks to the Ready Tensor educator team, open-source contributors, industry partners, and global developer community whose support and feedback drive ongoing program excellence.

Appendix

Program flow diagrams

Sample code repositories

Project submission guidelines

Badge and certificate examples

Peer review and evaluation rubrics