Description
Certification Name: Certificate in Agentic AI Development
Course Id: CAAID/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certificate in Agentic AI Development course is designed to prepare professionals to build, deploy, and manage autonomous AI agents capable of perceiving, reasoning, and acting independently to achieve complex goals. This program covers foundational concepts in agent-based AI, including intelligent decision-making, reinforcement learning, multi-agent systems, and agent communication protocols. Participants will learn to develop AI agents that can interact dynamically with their environments, adapt to changing conditions, and collaborate or compete with other agents.
Duration: Three Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Module 1: Introduction to Agentic AI: Definition and concepts of agentic AI, Differences between reactive and agentic systems, Historical evolution of autonomous agents, Applications of agentic AI, Ethical considerations and safety, Overview of multi-agent systems.
Module 2: Foundations of Autonomous Agents: Agent architectures (deliberative, reactive, hybrid), Perception and environment modeling, Decision-making processes, Goal setting and planning, Learning mechanisms in agents, Communication and coordination among agents.
Module 3: Machine Learning for Agentic AI: Reinforcement learning fundamentals, Deep reinforcement learning techniques, Policy and value-based methods, Exploration vs exploitation, Multi-agent reinforcement learning, Training autonomous agents in simulated environments.
Module 4: Agent Design and Development: Design patterns for autonomous agents, Building environment simulators, Implementing sensors and actuators, Integrating knowledge representation, Developing agent behaviors and strategies, Testing and debugging agent systems.
Module 5: Deployment and Integration: Deploying agentic AI in real-world applications, Integration with IoT and robotics, Scalability and distributed agent systems, Monitoring and maintenance, Security considerations for autonomous agents, Continuous learning and adaptation.
Module 6: Advanced Topics and Case Studies: Ethics and governance of autonomous agents, Human-agent interaction, Case studies in gaming, healthcare, and finance, Challenges in multi-agent coordination, Future trends in agentic AI, Research directions and emerging technologies.
Job Opportunities After Certificate in Agentic AI Development
Careers focused on developing autonomous AI agents, intelligent automation, multi-agent systems, and AI-powered applications across AI, SaaS, fintech, robotics, and enterprise technology sectors.
Top Roles: Agentic AI Developer, Autonomous Systems Engineer, AI Product Engineer, AI Researcher, AI Consultant, Reinforcement Learning Specialist, AI Solutions Engineer, Freelance Agentic AI Developer
Key Skills: Agentic AI architecture, AI agents & workflows, Python, LLM integration, reinforcement learning, multi-agent systems, AI frameworks, API integration, model deployment, monitoring and evaluation
Earnings (India):
Entry / Mid-level: ₹8 – 20 LPA
Experienced / Senior: ₹15 – 35 LPA
Consulting / Specialist: ₹15 – 30+ LPA
Freelance / Contract: ₹60,000 – ₹3,50,000+ per month, project-dependent
Industries: AI & ML startups, enterprise SaaS, product companies, fintech, robotics & autonomous systems, e-commerce, IT services, and R&D organizations
Scope: Emerging opportunities for professionals who can build reliable AI agents that plan, reason, use tools, and automate multi-step tasks. Career progression can lead from AI development and automation roles to senior agentic AI engineering, AI product, consulting, research, and leadership positions as enterprise adoption of autonomous AI systems expands.
