Agentic AI Certification Course | Build Autonomous Agents

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Agentic AI Certification Training Course

Empower Your Future & Deploy Autonomous Solutions with Agentic AI

Advance your career with comprehensive Agentic AI training designed for the next generation of intelligent systems. Gain deep, hands-on experience understanding how autonomous AI agents plan, reason, make complex decisions, and execute multi-step tasks across real-world enterprise business scenarios.

This specialized course covers advanced agent architecture design, multi-agent collaboration workflows, secure tool integration, complex decision-making logic, and cognitive automation through practical enterprise use cases. Learn directly from pioneering industry professionals, earn a vendor-neutral recognized certification, and develop the elite skills needed to build, manage, and deploy scalable agentic AI solutions that drive real business outcomes.

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4.5

Classes are held two hours long and twice a week

Transform Intelligent Workflows with Agentic AI Expertise

Autonomous Systems Engineering: Administering Agentic AI Solutions

The Agentic AI Certification Exam is a 120-minute comprehensive assessment designed to validate your technical knowledge and deployment skills across next-generation autonomous agent architectures. This exam covers:

Introduction to Agentic AI: Understanding the evolution from passive prompts to active autonomous systems, reasoning loops, and core agent architectures.
Plan and Configure Agent Environments: Setting up robust runtime environments, cloud computing resource scaling, vector databases, and memory infrastructure.
Agent Design, Planning, and Reasoning: Implementing advanced reasoning frameworks like ReAct (Reason + Act), chain-of-thought processing, and self-reflection loops.
Tool Integration and Function Calling: Configuring secure API connections, dynamic function calling, external database access, and web browsing tools for agents.
Multi-Agent Orchestration and Workflows: Structuring collaborative multi-agent teams, hierarchical supervision systems, and cross-agent communication protocols.
Automation and Cognitive Workflows: Deploying autonomous agents into legacy business processes to execute complex, multi-step automated pipelines without human intervention.
Security, Alignment, and Governance: Enforcing safety guardrails, preventing prompt injection attacks, managing agent behavior alignment, and setting strict access permissions.
Integration with Enterprise Ecosystems: Connecting autonomous frameworks to enterprise systems, microservices architectures, large language models (LLMs), and API gateways.

Strategic AI exam details

Price: $US300 paid directly to Microsoft.
Duration: 120 minutes
Languages: English.
Results: Pass/fail results are typically available online within 48 hours.
Recertification: This exam can be used toward recertification requirements.
Question Types: Expect a variety of formats, including performance-based questions, multiple choice, and drag-and-drop.

01. Module 1: Introduction to Agentic AI

What are AI Agents?
Difference between traditional AI and agentic systems
Real-world use cases and industry demand
Why Agentic AI is the future of business and automation

02. Module 2: Foundations of Generative AI

Understanding large language models
How intelligent reasoning works
Prompts, instructions, and design patterns
Safety, reliability, and responsible use

03. Module 3: Agent Architecture & Design

Planning multi-step agent workflows
Memory, context, and persistent state
Tools, functions, and real-world actions
Designing decision-making and logic flows

04. Module 4: Building Your First AI Agent

Creating your first agent step-by-step
Structuring agent prompts
Adding capabilities and actions
Testing and refining responses

05. Module 5: Workflow Automation Using Agents

Automating real business processes
Connecting agents to tools and data
Building intelligent assistants for daily work
Real examples from HR, sales, support, and operations

06. Module 6: Retrieval-Augmented Generation (RAG)

How agents use external knowledge
Document ingestion and indexing
Accurate data retrieval
Building a company knowledge assistant

07. Module 7: Multi-Agent Collaboration

Single vs multi-agent systems
Planner–executor patterns
Designing specialized agents that communicate
Building a multi-agent project as a team

08. Module 8: Testing, Evaluation & Optimization

Improving accuracy and stability
Handling edge cases
Performance tuning
Reducing hallucinations and errors

09. Module 9: Deploying AI Agents

Deploying agents to websites
Deploying agents in business environments
Integrations for automation
Real-world deployment strategies

10. Module 10: Capstone Project – Build Your Full Agent

Select a real use-case
Design, build, test, and refine
Deploy your final agent
Showcase project for portfolio or clients

11. Module 11: Career Pathways in Agentic AI

AI Agent Developer
AI Automation Engineer
AI Implementation Specialist
AI Solutions Consultant
Roles with $95K–$160K+ earning potential

12. Module 12: Business Opportunities with AI

Starting an AI automation micro-agency
Building and selling custom agents
Pricing your AI services
Monthly support retainer models

Professional Opportunities

Agentic AI Engineer

Proficiency in agent frameworks, tool‑use pipelines, planning algorithms, memory systems, and integration of autonomous LLM agents with external APIs and enterprise workflows.

Agentic AI Scientist

Strong theoretical background in autonomous systems, deep understanding of planning‑and‑reasoning methods, multi‑agent collaboration models, safety evaluations, and research on agent behavior and optimization.

Agentic AI Strategist

Business acumen, workflow analysis, strategic thinking, and the ability to design high‑value use‑cases for autonomous AI systems across industries, ensuring ROI, governance, and responsible deployment.

Alumni testimonials

After completing the Agentic AI course, I can now implement AI strategies that drive business growth for my clients. The course content was comprehensive and very relevant to today’s market.

The Agentic AI course was exactly what I needed to move forward in my career. The training was in-depth, hands-on, and highly practical, allowing me to apply real-world AI agents and automation concepts immediately in my work.