Agentic AI Professional Certification
The Agentic AI Professional Certification program is designed to equip professionals with the knowledge to build, manage, and optimize autonomous AI agents that can reason, plan, and execute complex tasks.
Learn directly from AI practitioners, agentic systems experts, and technology leaders who are shaping the future of autonomous AI and intelligent automation.
What Sets Our Program Apart?
- Globally Recognized Certification with Self-Paced Learning
- 100+ Live Monthly Sessions via GSDC Studio
- Hands-On Learning with Learn by Doing
- 1-on-1 SME Connect Sessions with Industry Experts
- Career-Ready Support: Capstone project and Job support
100% Money Back Guarantee on One-Click
About Agentic AI Certification
Objectives of Agentic AI Certificate
- Understand core principles of Agentic AI systems
- Identify real-world applications of Agentic AI
- Learn from practical use case studies
- Explore ethical and compliance aspects of Agentic AI
- Gain insights into autonomous decision-making processes
- Apply knowledge using ready-to-implement templates
- Demonstrate ability to work with Agentic AI models
- Validate your skills with a globally recognized certification
Benefits of Agentic AI Certification
- Apply AI to solve business challenges
- Use expert-crafted implementation templates instantly
- Access practical use case studies directly
- Boost qualifications for AI strategy roles
- Enhance decision-making in autonomous systems
- Accelerate the adoption of agentic AI tools
- Improve credibility in AI project proposals
- Strengthen resumes for AI governance positions
- Lead AI integration in enterprise workflows
Exam Syllabus of Agentic AI Certification
1 Introduction to Agentic AI+
•Defining Agentic AI and AI agents: characteristics and autonomy
•Understanding goal-oriented behavior
•Importance and potential of Agentic AI
•Overview of AI agents collaborating in systems
•Ethical implications and considerations
•Basic introduction to Large Language Models (LLMs) and their role
2 Understanding AI Agents+
•Defining AI Agents and distinguishing characteristics
•Capabilities and functionalities of AI Agents
•Comparing Agentic AI with other AI forms (traditional AI, Chatbots)
•Chatbots vs. AI Agents: similarities and differences
•Real-world applications and practical examples of Agentic AI (virtual assistants, automation)
3 Foundations of Agentic AI Frameworks and Architectures+
•Principles, goals, and introduction to Agentic AI architectures
•Core architectural components: agents, environment, knowledge base, communication, control
•Architectural patterns for autonomous systems: centralized, distributed, hybrid
•Role of LLMs within Agentic AI architecture
•Design considerations: scalability, reliability, security, and maintainability
•AI agent workflows and interaction patterns
4 Core Technologies – LLMs and Agent Frameworks+
•Detailed understanding of Large Language Models (LLMs)
•Overview of top Generative AI (GenAI) Agent frameworks
•Introduction to LangChain and LangGraph for agent creation
•Practical overview: Creating basic agents using LangChain
•Introduction and use of AutoGen for multi-agent collaboration
•Understanding vector databases and Retrieval-Augmented Generation (RAG)
•Developing Agentic RAG systems
5 Practical Applications and Sector-specific Use Cases+
•Exploring various real-world use cases across multiple sectors (business, healthcare, education, etc.)
•Sector-specific examples illustrating effective implementation
•Detailed case studies and scenario-based learning
6 Implementing Agentic AI for Non-Technical Teams+
•Step-by-step guide to successfully implementing Agentic AI without deep technical expertise
•Overview and evaluation of available tools and platforms
•Best practices for implementation in non-technical teams
•Role of non-technical professionals in driving Agentic AI adoption
7 Preparing Organizations for Agentic AI Adoption+
•Assessing organizational readiness and fostering necessary cultural shifts
•Strategies to effectively integrate Agentic AI into existing business processes
•Developing internal capabilities and competencies in Agentic AI
8 Ethical Considerations, Risks, and Safeguards+
•Identifying and understanding common challenges and pitfalls
•Potential risks and ethical concerns associated with Agentic AI
•Practical strategies and safeguards for effective risk management
•Promoting responsible and ethical AI development
9 Future Trends and Closing Insights+
•Exploring future trends, advancements, and innovations in Agentic AI
•Recommendations and guidance for future-proofing AI strategies
•Concluding insights and actionable next steps for continued learning and development in Agentic AI
10 Personalized 1-1 & Daily Group Live session+
•Personalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries.
•Daily Live Session with Lifelong Learning - Participate in a daily live session with industry experts where professionals from around the world connect with SMEs and have a brainstorming session.
11 Building Powerful AI Agents—No Coding Required+
•Drag-and-Drop Workflow Design
•Pretrained AI Components
•Customizable Business Rules
•One-Click Deployment & Monitoring
•Collaborative Iteration & Governance
What Comes with a GSDC Certification?
GSDC’s Agentic AI Training Program equips professionals with modern AI methodologies focused on autonomous systems, agent design, and decision-driven workflows. The program strengthens the ability to design intelligent agentic solutions, manage complex AI interactions, and apply industry-aligned frameworks that support scalable, real-world AI adoption.
Learn from Experts
Learn from experienced practitioners and industry leaders who bring real-world expertise and practical insights to the program.
Maxim Salnikov
MICROSOFT
DIGITAL AND APP INNOVATION BUSINESS LEAD, WESTERN EUROPE
Hayk Hakobyan
INSIGHTGENIE
CO-FOUNDER
Artus Phee
AGILEASIA
CHIEF OPERATING OFFICER
Suvarsha Rai
AMAZON
SR. TECHNICAL PRODUCT MANAGER
Ziggy Rafiq
CAPGEMINI
SOFTWARE ENGINEERING LEAD
Trevor Wiseman
THE CIRCUIT
VP OF TECHNOLOGY & AI GOVERNANCE
Caleb Jephunneh
BRICKLABSAI
CEO | GLOBAL AI SPEAKER
Swathi Adimulam
ORACLE
OCI CLOUD & AI ARCHITECT
Leela VenkataSatish Kolla
LTIMINDTREE
DIRECTOR PROGRAM PROJECT MANAGEMENT
Baris Dirim
CULTUREASY
HUMAN SYSTEMS ARCHITECT
Enrollment Options
Single Access
Gain full access to our complete resource library and earn a globally recognized certification.
1 Certificate Programs
Bundle Access
Unlock exclusive bundle savings on premium resources and earn globally recognized credentials.
3 Certificate Programs
For Teams
Enable teams with GSDC certification pathways and customized learning journeys aligned with business priorities.
7 Day Money-Back Guarantee
Target Audience for certified Agentic AI Professional
Pre-Requsities for Agentic AI Certificate
There are no mandatory prerequisites for the GSDC Agentic AI Certification, though prior knowledge or experience in AI, automation, or related technologies is recommended for better understanding.
Exam Details Of Agentic AI Certificate
Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes
Sample Certification
About Agentic AI Certification
The GSDC Agentic AI Certification has been designed for professionals wishing to authenticate their knowledge and skills in what is arguably one of the most radically transformative technologies-Agentic AI.
With organizations rolling out increasingly autonomous AI systems that reason, plan, and act, an Agentic AI certificate says you are ready to engage in this highly innovative area.
The Certified Agentic AI Professional not only endorses your understanding of basic Agentic AI concepts but also provides access to hands-on resources, templates, and tools that you can use to implement these concepts in real-world scenarios quickly.
Whether you are looking at tech, strategy, or innovation, this agentic AI certification keeps you competitive and relevant. The Agentic AI certificate will prepare you to participate in creating robust, scalable AI systems that will operate with a higher degree of autonomy and intelligence.