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.
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.
Agentic AI exam details
Price: $US165 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.
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."
