Agentic AI Course Certification and Training | Certified Agentic AI Professional
The Agentic AI Course, Certification & Training focuses on building intelligent AI systems that can reason, plan, and act independently. It helps learners design and deploy autonomous AI agents for real-world scenarios, with certification validating practical, industry-ready skills.
- Accredited Industry Expert Trainers
- Exam fee included
- E-Learning Library Access, Ebook
- Excellent Passing Record
Agentic AI Course Certification and Training Overview
The Agentic AI Course and Training is designed to help learners develop a deep, practical understanding of how Agentic AI systems reason, make decisions, and act autonomously, moving well beyond traditional rule-based automation. Instead of focusing only on theory, this Agentic AI Course explores how intelligent agents operate in dynamic environments, interact with tools and data, and adapt their behavior to achieve defined goals.
This Agentic AI Training emphasizes hands-on learning through real-world simulations, guided exercises, and expert-led sessions that connect concepts directly to practical application. It is designed for AI/ML Engineers, Data Scientists, Automation Architects, AI Product Managers, Technology Consultants, Digital Transformation Leaders, Enterprise Architects, and business professionals involved in AI strategy and adoption, using industry case studies to show real-world applications across sectors.
Whether you are a technologist building AI solutions, a strategist shaping AI initiatives, or a business leader responsible for governance and adoption, this GSDC-accredited Agentic AI Certification equips you with the skills to design, implement, and oversee autonomous AI systems with confidence. This 2026-relevant course provides hands-on experience with practical tools, reusable templates, and real-world examples that support immediate application. We offer Agentic AI Certification courses in the USA, India, Canada, the UK, UAE, Saudi Arabia, Australia, Germany, and across the globe, making it accessible to professionals worldwide.
What sets this Agentic AI Training program apart is its strong focus on experiential learning. You won’t just learn what agentic AI is, you’ll apply your knowledge to solve real challenges organizations face when adopting autonomous AI. By the end of the Agentic AI Course, you will be prepared to contribute meaningfully to AI-driven projects, support responsible AI adoption, and advance your career in this rapidly evolving field.
What You Will Get?
Learning Outcome of Agentic AI Course
After the completion of the course, the participants would be able to:
Training Calendar
English
- Self paced videos, assessments, recall quizzes, more
- For more details, reach us at training@novelvista.com
Includes Training, Exam & Certification
Lifetime Access
- Self paced videos, assessments, recall quizzes, more
- For more details, reach us at training@novelvista.com
Includes Training, Exam & Certification
Course Curriculum: Agentic AI Course
This curriculum of the Agentic AI Course is structured to help learners progress from foundational Agentic AI concepts to real-world implementation and strategic adoption. Each module blends conceptual clarity with practical exposure, ensuring learners not only understand Agentic AI but can confidently apply it in real scenarios.
Module 1. Introduction to Agentic AI+
This module of Agentic AI Training establishes a strong conceptual foundation by introducing the core ideas behind agentic systems and autonomous intelligence.
Defining Agentic AI and AI Agents: Characteristics and Autonomy
Learn what Agentic AI is and how AI agents differ from traditional systems by their ability to operate independently and adapt to changing environments.
Understanding Goal-Oriented Behavior
Explore how AI agents define goals, evaluate options, and choose actions to achieve outcomes without constant human input.
Importance and Potential of Agentic AI
Understand why Agentic AI is becoming critical for automation, decision-making, and intelligent systems across industries.
Overview of AI Agents Collaborating in Systems
Learn how multiple AI agents communicate and work together to solve complex problems through coordinated actions.
Ethical Implications and Considerations
Examine the responsibilities and challenges that arise when AI systems make autonomous decisions.
Basic Introduction to Large Language Models (LLMs) and Their Role
Gain a high-level understanding of how LLMs support reasoning, interaction, and decision-making in agentic systems.
Module 2. Understanding AI Agents+
This module of Agentic AI Course Certification deepens your understanding of AI agents by examining their capabilities, differences, and real-world usage.
Defining AI Agents and Distinguishing Characteristics
Understand what qualifies a system as an AI agent and the traits that enable autonomy and adaptability.
Capabilities and Functionalities of AI Agents
Explore how agents perceive environments, process information, and take meaningful actions.
Comparing Agentic AI with Other AI Forms
Learn how Agentic AI differs from traditional AI models and rule-based automation.
Chatbots vs. AI Agents: Similarities and Differences
Understand why chatbots respond, while AI agents act highlighting autonomy and decision-making.
Real-World Applications and Practical Examples
Review how AI agents are used in virtual assistants, workflow automation, and intelligent operations.
Module 3. Foundations of Agentic AI Frameworks and Architectures+
This module of Agentic AI Course introduces the technical and conceptual structures that support scalable agentic systems.
Principles, Goals, and Introduction to Architectures
Learn the foundational principles that guide the design of agent-based systems.
Core Architectural Components
Understand how agents interact with environments, knowledge bases, communication layers, and control mechanisms.
Architectural Patterns for Autonomous Systems
Explore centralized, distributed, and hybrid architectures and when to use each.
Role of LLMs within Agentic AI Architecture
See how LLMs enhance reasoning, planning, and contextual understanding in agents.
Design Considerations
Learn how scalability, security, reliability, and maintainability impact agent design.
AI Agent Workflows and Interaction Patterns
Understand how agents execute tasks and interact with tools, data, and other agents.
Module 4. Core Technologies - LLMs and Agent Frameworks+
This module focuses on the technologies and frameworks used to build real-world agentic systems.
Detailed Understanding of LLMs
Explore how Large Language Models function and why they are central to agentic intelligence.
Overview of GenAI Agent Frameworks
Get introduced to popular frameworks used to create and manage AI agents.
LangChain and LangGraph for Agent Creation
Learn how these frameworks help structure agent logic, workflows, and decision paths.
Creating Basic Agents Using LangChain
Build simple agents to understand how tools, prompts, and logic come together.
AutoGen for Multi-Agent Collaboration
Explore how multiple agents coordinate and collaborate using AutoGen.
Vector Databases and RAG
Understand how retrieval-based systems enhance agent memory and context.
Developing Agentic RAG Systems
Learn how agents use external knowledge sources to make informed decisions.
Module 5. Practical Applications and Sector-specific Use Cases+
This module connects Agentic AI concepts to real-world industry applications.
Exploring Real-World Use Cases
Review how Agentic AI is applied across business, healthcare, education, and operations.
Sector-Specific Examples
Analyze examples that demonstrate effective implementation in different industries.
Case Studies and Scenario-Based Learning
Apply learning through practical scenarios that mirror real organizational challenges.
Module 6. Implementing Agentic AI for Non-Technical Teams+
This module makes Agentic AI accessible for professionals without a technical background.
Step-by-Step Implementation Guide
Learn how to implement Agentic AI without deep coding or technical expertise.
Evaluation of Tools and Platforms
Explore user-friendly tools and platforms that support agent deployment.
Best Practices for Non-Technical Teams
Understand how teams can adopt Agentic AI effectively with minimal complexity.
Role of Non-Technical Professionals
Learn how business users contribute to successful Agentic AI adoption.
Module 7. Preparing Organizations for Agentic AI Adoption+
This module of Agentic AI Course Certification focuses on readiness, strategy, and long-term success.
Assessing Organizational Readiness
Learn how to evaluate cultural, technical, and operational readiness.
Integration into Business Processes
Understand strategies to embed Agentic AI into existing workflows.
Developing Internal Capabilities
Learn how organizations can build sustainable Agentic AI skills internally.
Module 8. Ethical Considerations, Risks, and Safeguards+
This module ensures responsible and ethical use of Agentic AI.
Identifying Challenges and Pitfalls
Understand common risks associated with autonomous systems.
Ethical Concerns and Risks
Explore issues related to bias, accountability, and transparency.
Risk Management Strategies
Learn practical safeguards to minimize operational and ethical risks.
Promoting Responsible AI Development
Understand best practices for ethical Agentic AI adoption.
Module 9. Future Trends and Closing Insights+
This module of Agentic AI Training Courses prepares learners for what lies ahead in Agentic AI.
Future Trends and Innovations
Explore emerging advancements shaping the future of Agentic AI.
Future-Proofing AI Strategies
Learn how to adapt strategies for long-term relevance.
Actionable Next Steps
Identify clear paths for continued learning and growth.
Module 10. Building Powerful AI Agents - No Coding Required+
This hands-on module focuses on rapid, no-code agent development.
Drag-and-Drop Workflow Design
Create agent workflows visually without writing code.
Pretrained AI Components
Leverage ready-made components to accelerate development.
Customizable Business Rules
Define logic and behavior aligned with business needs.
One-Click Deployment and Monitoring
Deploy and track agent performance with minimal effort.
Collaborative Iteration and Governance
Support team-based improvements and controlled agent evolution.
Course Details: Agentic AI Course
Learning Objectives+
This course of Agentic AI certification online helps you understand how Agentic AI systems think, plan, and act autonomously. You will learn to design AI agents using structured frameworks rather than ad-hoc automation. The focus is on practical decision-making, workflow design, and real-world implementation. By the end, you will be able to explain, design, and apply Agentic AI confidently in professional settings.
Target Audience+
This program is ideal for AI/ML Engineers, Data Scientists, Automation Architects, AI Product Managers, Technology Consultants, Innovation Leads, Digital Transformation Managers, Enterprise Architects, R&D Professionals in AI, Business Intelligence Professionals, and Risk & Compliance Analysts who want to work with autonomous AI systems. It is also well-suited for business leaders and non-technical professionals involved in AI strategy, governance, and digital transformation, supporting both early-career and experienced professionals.
Prerequisites+
No advanced programming or data science background is required. A basic understanding of AI concepts and business workflows is helpful. Familiarity with automation, analytics, or digital tools will support learning but is not mandatory. Curiosity about how AI systems operate autonomously is the key requirement.
Key Benefits+
This is an entry-level qualification that has numerous benefits for the organization as well as professionals.
Some of the major benefits are:
- Build a goal-driven AI agent that can plan and act autonomously
- Design and implement an agentic workflow for task automation
- Create a multi-agent collaboration scenario to solve complex problems
- Develop a basic Agentic RAG system using external knowledge sources
- Apply Agentic AI concepts to real-world, industry-aligned use cases
- Demonstrate practical skills that enhance professional credibility and job readiness
Training Delivery Style+
This Agentic AI Certification emphasizes experiential learning through concise, high-impact sessions. The course content is structured to be completed within 12-16 hours, designed to keep you engaged while ensuring a deep understanding of complex Agentic AI concepts. Not only this, if you are participating, expect yourself to get indulged with interesting group activities. By this, you will get a chance to put the theory into action. .
This training will be nothing like any ordinary training you imagine. We follow a vast range of creative methodologies which will allow you to rack your grey matter and boost your energy up to participate.
The key features of our training program would be:
- Training sessions in a storytelling format
- Exhibition of concepts with the help of professional examples
- Self-analysis and group discussions
- Case studies as the application of the concepts that were taught
- Vibrant presentations, along with individual and team activities
- Post-training reading suggestions
Tools & Technologies+
Learners gain exposure to industry-relevant tools and platforms used in agentic systems. The tool stack includes Large Language Models (LLMs), LangChain, LangGraph, AutoGen, vector databases, and Agentic RAG frameworks. No-code and low-code agent builders are also covered. These tools help translate concepts into deployable solutions.
Assessment Format+
Assessment includes scenario-based evaluations, practical assignments, and project reviews, focusing on applied understanding rather than memorization. The Agentic AI Certification exam consists of 40 objective multiple-choice questions (MCQs) covering core concepts, tools, workflows, ethics, and real-world applications. Candidates must score a minimum of 65% to successfully earn the Agentic AI Professional Certification
Learning Support+
Learners receive access to structured study materials, templates, recorded sessions, and exclusive access to GSDC AI Studio. The program follows a strong Learn by Doing approach, with hands-on exercises, real-time challenges, and applied projects embedded throughout the course. Ongoing support includes expert guidance, discussion forums, and practical resources, while capstone project support helps translate learning into real-world outcomes ensuring a smooth learning journey from start to certification.
Agentic AI Professional Certification Exam Format
Exam Format - Objective Type, Multiple Choice
Exam Duration - 90 minutes
No. of Questions - 40 (multiple-choice questions)
Passing Criteria - 65%
Certificate - Within 5 business days
Result - Within 4 - 5 business days
Open Book: No
Agentic AI Certification Roadmap
