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Program Overview

Building an AI agent is only the first step. Running it in the real world is a different challenge entirely.

Agentic AI in Production teaches you how to turn agentic AI systems into reliable, production-ready applications. You’ll learn how to test systems whose outputs vary, protect them from security and safety risks, deploy them as real services, and monitor their behavior once users start interacting with them.

In this program, you’ll work with real production concerns: failures that don’t crash the system but silently degrade results, tools that time out or misbehave, unsafe or biased outputs, and systems that work today but break tomorrow. You’ll learn how to detect these issues early and design systems that recover gracefully when things go wrong.

By the end of the program, you’ll be able to build, deploy, and operate agentic AI systems that are ready for real users, real data, and real-world risk.

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What You’ll Learn

This program focuses on the practical skills required to take agentic AI systems into real-world production environments — where reliability, safety, and maintainability matter as much as functionality.

Topics Covered

This program covers the core challenges that arise when AI systems move from prototypes to real users. You’ll learn how to test and evaluate agentic systems, protect them from security and safety risks, deploy them as real services, and operate them over time.

Topics include production testing, AI security and safety, deployment and packaging, resilience and failure handling, monitoring and observability, privacy and compliance, and production architecture.

Tools & Frameworks

You’ll work with industry-standard tools and frameworks commonly used to build, test, deploy, and monitor agentic AI systems in production.

These include testing frameworks, safety and security tools, web and UI frameworks, deployment platforms, and observability stacks — giving you hands-on experience with the same tooling used in real production workflows.

Learning Outcomes

By the end of this program, you’ll be able to:

✅ Test agentic AI systems with confidence
✅ Secure systems against real-world attacks
✅ Add runtime safety and guardrails
✅ Deploy AI systems as real applications
✅ Monitor and debug production behavior
✅ Build production-grade, portfolio-ready systems

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What You’ll Earn

Completing this program earns you credentials that demonstrate production-level AI engineering capability.

Agentic AI Engineer Certificate
A credential recognizing your ability to deploy, test, secure, and operate agentic AI systems in real-world environments.

Digital Badge
A verifiable badge for LinkedIn and professional platforms.

Portfolio Project
A publicly visible, production-ready AI system published on Ready Tensor with full documentation and linked source code.

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Who This Program Is For

This program is ideal for learners who want to move from prototypes to real, dependable AI applications.

Ideal for:

• Developers building AI systems intended for real users
• Engineers responsible for reliability, safety, or deployment
• AI practitioners preparing systems for production environments
• Builders who want portfolio projects that go beyond demos
• Anyone responsible for maintaining AI systems over time

⚠️ Note: This is a code-driven, production-focused program. Strong Python experience is required.

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Program Prerequisites

This program assumes experience building agentic or LLM-based systems.

Required Skills:

• Strong Python programming
• Experience building LLM or agent-based applications
• Familiarity with APIs, tools, and multi-step workflows
• Comfort reading and modifying complex codebases
• Basic understanding of deployment concepts

Recommended (but not required):

• Prior experience with FastAPI, Gradio, or Streamlit
• Exposure to testing frameworks like pytest
• Familiarity with cloud deployment or hosting platforms
• Experience debugging production systems

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How the Program Works

This is a project-based, self-paced certification program focused on real-world readiness.

You’ll work through lessons, walkthroughs, and code examples that address the full lifecycle of agentic AI systems — from testing and security to deployment and monitoring.

What the Program Includes

• Lessons
  Practical lessons covering testing, safety, deployment, monitoring, privacy, and production architecture for agentic AI systems.

• Code Repositories
  Production-style reference implementations showing how real agentic systems are tested, deployed, and monitored.

• Videos
  Step-by-step walkthroughs and expert explanations focused on real production challenges.

• Quizzes
  Optional self-assessment quizzes to reinforce understanding.

• Capstone Project
  A production-grade agentic AI system evaluated using clear technical rubrics.

  • Submit as a Ready Tensor publication
  • Receive expert reviewer feedback
  • Revise and resubmit if needed
  • A minimum score of 70% is required to earn certification

Pace and Timeline

The program is fully self-paced. You can submit your project whenever you’re ready.

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Learn From Industry Experts

This program is designed and taught by practitioners actively deploying and operating agentic AI systems.

Abhyuday (Abu) Desai, Ph.D. — Founder & CEO, Ready Tensor

With 20+ years of experience in AI, data science, and analytics, Abu has led enterprise AI initiatives and now leads multiple production agentic AI systems at Ready Tensor.

Program Team

The program is supported by AI engineers who contribute to curriculum design, tools, assessments, and learner support — ensuring the material reflects real production workflows and constraints.

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Take Agentic AI to Production

Building an AI agent is exciting. Running it reliably is what matters.

This program gives you:

• Practical skills for testing and securing AI systems
• Experience deploying and monitoring agentic applications
• A production-grade portfolio project
• Confidence to operate AI systems in real environments

Enroll today and learn how to build agentic AI systems that are ready for the real world.

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