Agentic AI Foundation Certification
The Agentic AI Foundation Certification program is designed to build a strong understanding of autonomous AI agents, their core principles, and how they operate within modern AI systems.
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 2 Exam Attempts
- 36+ Hours of Self-Paced Material
- 100+ Hours of Live Sessions
- 1-on-1 personalized Connect with SME/Trainer
- Practice Exams, Capstone Projects, Interview Practice Platform
100% Money Back Guarantee on One-Click
About Agentic AI Foundation Certification
Objectives of Agentic AI Foundation Certification
- Understand core concepts of agentic AI technology.
- Explore autonomous decision-making and its real-world applications.
- Learn ethical considerations in deploying agentic AI systems.
- Learn from practical use case studies in agentic AI.
- Access ready-to-implement templates for agentic AI solutions.
- Develop a deep understanding of agentic AI principles.
- Prepare for real-world challenges with agentic AI applications.
- Demonstrate competency in applying agentic AI technologies effectively.
Benefits of Agentic AI Foundation Certificate
- Boost career prospects with agentic AI expertise.
- Gain hands-on experience with real-world AI applications.
- Access expert-crafted, ready-to-implement AI templates.
- Enhance problem-solving skills in autonomous AI systems.
- Demonstrate capability in AI-driven automation projects.
- Prepare for emerging roles in AI technology.
- Showcase proficiency in ethical AI deployments.
- Improve decision-making with AI-driven solutions.
- Gain an edge in AI-focused industries.
Exam Syllabus of Agentic AI Foundation Certification
1 Understanding Agentic AI+
•Definition and Core Concepts: Explore what Agentic AI entails, focusing on systems that can perceive, reason, and act autonomously to achieve specific goals.
•Evolution of AI: Trace the progression from rule-based systems to the emergence of Agentic AI, highlighting the shift towards autonomy and adaptability.
•Key Characteristics: Discuss the attributes that distinguish Agentic AI, such as autonomy, goal-orientation, and decision-making capabilities
•Real-World Examples: Provide illustrative scenarios where Agentic AI is currently being applied, setting the stage for deeper exploration in subsequent sections.
2 Agentic AI vs. Traditional AI+
•Comparison with Traditional AI: Differentiate between Agentic AI and earlier AI paradigms, emphasizing the increased autonomy and adaptability.
•Advantages and Limitations: Analyze the benefits Agentic AI brings over traditional systems, as well as the challenges it presents.
•Integration with Existing Systems: Discuss how Agentic AI can complement and enhance current AI applications.
3 Applications Across Industries+
•Human Resources (HR): Examine how Agentic AI streamlines recruitment, onboarding, and employee engagement processes.
•Learning and Development (L&D): Explore personalized training programs and continuous learning facilitated by Agentic AI.
•Project Management Office (PMO): Understand how autonomous agents can optimize project planning and execution.
•Cybersecurity: Delve into real-time threat detection and response mechanisms powered by Agentic AI
•Healthcare, Finance, and Retail: Highlight applications in patient care, financial analysis, and customer service.
4 Designing Agentic AI Systems+
•Core Components: Identify the building blocks of Agentic AI, including perception, reasoning, and action modules.
•Design Principles: Discuss user-centric design approaches to ensure alignment with organizational goals.
•Ethical Considerations: Address the importance of transparency, accountability, and fairness in design.
5 Implementing Agentic AI in organizations+
•Strategic Planning: Outline steps for integrating Agentic AI into business processes.
•Change Management: Discuss strategies for managing organizational change and employee adaptation
•Measuring Impact: Introduce metrics for evaluating the effectiveness and ROI of Agentic AI initiatives.
6 Ethical and Regulatory Frameworks+
•Understanding Risks: Explore potential ethical dilemmas and unintended consequences of autonomous systems.
•Regulatory Landscape: Review current and emerging regulations governing AI deployment.
•Developing Governance Policies: Provide guidance on creating internal policies for responsible AI use.
7 Future Trends in Agentic AI+
•Advancements in Technology: Discuss upcoming innovations and their potential impact on Agentic AI capabilities.
•Cross-Industry Integration: Predict how Agentic AI will further permeate various sectors.
•Preparing for Change: Offer strategies for staying ahead in the evolving AI landscape.
8 Case Studies and Success Stories+
•Industry-Specific Examples: Analyze real-world implementations of Agentic AI across different industries.
•Lessons Learned: Extract insights from successes and challenges faced during deployment.
•Best Practices: Summarize key takeaways for effective Agentic AI integration.
9 Building a Career in Agentic AI+
•Skill Development: Identify essential skills and knowledge areas for professionals entering the field.
•Educational Pathways: Suggest courses, certifications, and learning resources.
•Career Opportunities: Explore various roles and industries where Agentic AI expertise is in demand
10 Personalized 1-1 & Group connect 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.
•Weekly Group Mentor Connect Session with Lifelong Learning - Participate in a weekly group session with an industry experts where all types of professioanls around the world connet with SME 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
12 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.
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
GSDC AI Studio
100+ Live Monthly Sessions with
Global Experts
Experience hands-on AI learning every day with 45-minute expert-led sessions. Practice in real time, get your doubts resolved instantly, and gain certification-aligned skills. Build practical, job-ready AI expertise with guidance from global AI leaders.
Session Highlights
4 Daily Sessions
45-minute expert-led learning.
Global Experts
Learn from worldwide leaders.
Real-time Practice
Apply concepts instantly.
Certification Ready
Industry-aligned skills.
Interactive Reporting with Google AI Studio
Build Your First AI Agent in 30 mins
Improving Software Requirements with GenAI
Safe and Ethical AI Conversations
Search Smarter with Perplexity AI
Iterative AI Processes and Productivity Tips
Learn by Doing
Don't just watch — apply what you learn immediately.
How it works?
Step 1
Watch the Video: Learn each tool through expert-led tutorials.
Step 2
Practice with AI-powered challenges.
Lifetime Access: Revisit videos and challenges anytime.
Enrollment Options
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Gain full access to our complete resource library and earn a globally recognized certification.
1 Certificate Programs
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3 Certificate Programs
For Teams
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Target Audience of Foundation of Agentic AI
Pre-Requsites of Agentic AI Certification
Prior work experience or knowledge in AI, machine learning, or related technology domains is recommended but not mandatory for this certification.
Exam Details Of Agentic AI Foundation Certification
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
Agentic AI Foundation Certification
The Agentic AI Foundation Certification from the GSDC equips professionals with the essential knowledge and skills to navigate autonomous AI systems.
This certification in agentic AI validates your ability to understand and apply core principles of agentic AI, including autonomous decision-making, ethical considerations, and real-world applications across various industries.
By earning the Agentic AI Foundation certificate, you demonstrate your proficiency in leveraging agentic AI technologies to drive innovation and efficiency in modern enterprises.
As a Certified Agentic AI Foundation professional, you gain a competitive edge in the job market, positioning yourself as a valuable asset in organizations seeking to implement intelligent, autonomous systems.
This certification not only enhances your career prospects but also empowers you to contribute effectively to the development and deployment of agentic AI solutions.