Mastering AI Agents
Join 50,000+ learners from 130+ countries in Ready Tensor’s self-paced certification focused on designing and orchestrating autonomous multi-agent AI systems.
In this program, you’ll move beyond single assistants and build multi-agent systems with planning, coordination, and tool use. Complete the program to earn the Agentic AI Builder certificate and a shareable digital badge.
Program Overview
Many of today’s most powerful AI applications are built using AI agents that can plan, reason, use tools, and work together.
Mastering AI Agents teaches you how to build autonomous AI agents, and how to combine them into teams of agents that solve complex, real-world problems. Instead of a single chatbot responding to every request, you’ll learn how to create systems where different agents handle planning, research, evaluation, and action — coordinating their work toward a goal.
In this program, you’ll explore practical examples of agent-based systems, from advanced chatbots and research assistants to multi-step reasoning workflows and tool-using AI applications. You’ll learn how to design agent behaviors, define responsibilities, and control how agents interact so the system remains reliable and understandable.
By the end of the program, you’ll be able to build AI agent systems that go far beyond basic chatbots, using multiple agents to handle tasks that require structure, reasoning, and coordination.
What You’ll Learn
This program focuses on building and coordinating AI agents and agent teams that can plan, use tools, and work together to solve complex tasks.
Topics Covered
You’ll learn how agentic systems are structured and how they differ from simple workflows. The program covers agent behaviors, decision loops, coordination patterns, and multi-agent architectures — with a focus on designing systems that are understandable, reliable, and effective.
Topics include agents vs. workflows, stateful agent execution, dynamic control loops, multi-agent coordination patterns, and observability for agent behavior.
Tools & Frameworks
You’ll work with modern frameworks and protocols used to build and orchestrate agentic AI systems in practice.
These include tools for defining agent workflows, integrating external tools, coordinating multi-agent behavior, and inspecting how agents think, act, and interact during execution.
Learning Outcomes
By the end of this program, you’ll be able to:
✅ Decide when to use agents vs. workflows
✅ Build agent workflows with LangGraph
✅ Design and coordinate multi-agent systems
✅ Integrate built-in and custom tools
✅ Connect agents to external systems using MCP
✅ Implement agent observability and tracing
✅ Evaluate agentic systems with real metrics
What You’ll Earn
Completing this program earns you credentials that demonstrate architectural and system-level competence in agentic AI.
Agentic AI Builder Certificate
A credential recognizing your ability to design and implement multi-agent AI systems.
Digital Badge
A verifiable badge for LinkedIn and professional profiles.
Portfolio Project
A publicly visible multi-agent system published on Ready Tensor with full documentation and linked source code.
Who This Program Is For
This program is ideal for learners who understand the basics of LLM applications and want to build more powerful, adaptive systems.
Ideal for:
- Developers who have built a basic RAG or LLM application
- Software engineers interested in AI system architecture
- AI/ML practitioners moving toward agent orchestration
- Builders preparing for production-grade agentic systems
- Graduates of Agentic AI for Beginners or equivalent experience
⚠️ Note: This is a code-driven program. Intermediate Python experience is required.
Program Prerequisites
This program assumes foundational familiarity with LLM-based applications.
Required Skills:
- Intermediate Python programming
- Experience building basic LLM or RAG applications
- Familiarity with prompts, embeddings, and vector retrieval
- Comfort using GitHub and reading unfamiliar codebases
- Basic understanding of APIs and tool integration
Recommended (but not required):
- Prior exposure to LangChain
- Familiarity with stateful systems or workflows
- Experience debugging multi-step AI pipelines
- Interest in system design and architecture tradeoffs
How the Program Works
This is a project-based, self-paced certification program focused on designing and implementing real-world AI agent systems.
The program is structured around a mix of learning materials and hands-on work, all designed to guide you from core concepts to a production-quality agentic system.
What the Program Includes
-
Lessons
Conceptual modules covering key topics in AI agent and system design, including architectures, workflows, coordination patterns, and best practices. -
Code Repositories
Working, end-to-end code examples implemented at an industry-standard level. These repositories demonstrate best practices for building agentic systems and serve as reference implementations as you build your own project. -
Videos
A mix of explainers, step-by-step walkthroughs, and expert commentary offering practical insights and perspectives on agentic AI design and implementation. -
Quizzes
Short multiple-choice quizzes to help you test your understanding as you progress.
These are self-assessments only and are not used for grading or certification decisions. -
Capstone Project
The core of the program. You will design and implement a complete agentic system based on clear architectural requirements.- Submit your project as a Ready Tensor publication
- Receive rubric-based 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 complete lessons, review materials, and work on the capstone project according to your own schedule. Submit your project for review whenever you’re ready.
Learn From Industry Experts
This program is designed and taught by a team actively building and evaluating real-world 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 AI/ML initiatives across Fortune 500 companies and now leads multiple agentic AI projects at Ready Tensor.
Program Team
The program is supported by a team of AI engineers and practitioners who contribute to lesson design, tools and templates, project assessments, and learner support — ensuring the material reflects how agent-based systems are built and reviewed in practice.
Together, the instructors and team bring hands-on experience from building, testing, and reviewing agentic AI systems used in real production workflows.
Build Real AI Agent Systems
AI agents are becoming the backbone of modern AI applications — from research assistants to complex reasoning and decision-making workflows.
This program gives you:
- A clear understanding of how AI agents work and how they differ from simple chatbots
- Hands-on experience building autonomous and multi-agent systems
- Practical patterns for coordinating agents to solve real-world problems
- A complete project that demonstrates your ability to design and build agent-based AI systems
Enroll today and start building AI systems powered by intelligent agents.