Certified Agentic AI Developer™ Interactive Live Training

In today’s rapidly evolving landscape of artificial intelligence, autonomous and context-aware AI agents are transforming how we interact with technology and solve complex challenges. The Certified Agentifc AI Developer™ Interactive Live Training program is purpose-built to provide you with the specialised knowledge and hands-on skills crucial for building, fine-tuning, and deploying these intelligent agents with confidence. Designed to inspire innovation and practical problem-solving, this immersive programme offers a thorough exploration of agentic AI architectures, pioneering development tools, and industry-proven best practices. During the training, you’ll engage in dynamic, real-time sessions that emphasise experiential learning and teamwork. From designing adaptive algorithms to orchestrating seamless interactions between agents and users, you’ll develop a robust skill set that empowers you to create AI-driven solutions capable of autonomous decision-making and context-aware responsiveness. Whether you’re seeking to streamline workflows, revolutionise customer engagements, or shape the next generation of AI applications, this training ensures you’re equipped to lead in the agentic AI space. Become a Certified Agentifc AI Developer™ and join a community of forward-thinking professionals dedicated to shaping the future of intelligent automation. Step into a transformative journey where your expertise will drive real-world impact, advancing the horizons of AI and redefining the possibilities of tomorrow’s technology.

$499



16 Hours

ILT Duration

Online

Exam

Live & Self-Paced

Access Mode

Lifetime

Certification Validity

Why Choose Us

Globally Renowned web3 education organization

Modules Included

  • Definition of AI Agents
  • Importance of AI Agents in Modern AI
  • Real-World Applications
  • How AI Agents Work
  • Types of Environments for AI Agents
  • Evolution of AI Agents
  • Introduction to the Agentic AI Paradigm
  • Key Characteristics of Agentic AI
  • Core Components of Agentic AI Systems
  • Comparison with Other AI Paradigms
  • Architectures and Frameworks in Agentic AI
  • Challenges in Developing Agentic AI Systems
  • Economic Impact
  • Perception and Recognition Capibility
  • Decision-Making and Problem Solving Capibility
  • Learning and Adaptation Capibility
  • Action and Interaction Capibility
  • Multimodal Functionality in AI Agents
  • Tools and Frameworks for AI Agents
  • Data Processing Capabilities
  • Retrieval-Augmented Generation (RAGs)
  • Database Integration for AI Agents (Examples: Supabase, Firebase, MongoDB, and PostgreSQL)
  • Advanced Agent Capabilities (Adaptive and Self-Learning Agents, Collaboration in Multi-
  • Agent Systems (MAS), Long-Term Memory and Context Awareness)
  • Introduction to AI Automation and Workflow Optimization
  • Core Components of AI-Driven Workflow Optimization
  • Types of Workflows Optimized by AI Agents and use case applications
  • Automation Techniques Leveraged by AI Agents
  • Tools and Platforms for AI Workflow Automation (e.g., Zapier, UiPath, Blue Prism, n8n, Langgraph, pydantic)
  • Advanced Capabilities in AI Automation (Dynamic Task Scheduling and Context-Aware Automation, Proactive Agents, Adaptive Workflows)
  • Introduction
  • HuggingFace
  • Ollama+DeepSeekV3
  • AutoGen
  • LangChain
  • CrewAI
  • LangGraph
  • Pydantic AI
  • AutoGPT
  • Comparison of frameworks
  • Monitoring, Evaluation, and Debugging
  • AgentBench
  • AgentOps
  • LangSmith
  • Langfuse
  • Logfire in Pydantic AI
  • Metrics
  • Monitoring Demo
  • Introduction to AI Agents Security
  • Vulnerabilities & Mitigation
  • Guardrails
  • Tools
  • Ethical Design of AI Agents
  • Addressing Challenges
  • Technology Stack for Building Agentic AI Systems & Architecture
  • Siemens AG
  • Mayo Clinic
  • JPMorgan Chase
  • Amazon
  • BP (British Petroleum)
  • Pearson
  • Netflix
  • Introduction
  • Step 1: Plan the Agent
  • Step 2: Prototype the Agent
  • Step 3: Set Up the Database
  • Step 4: Move to Python
  • Step 5: Create an Agent UI
  • Step 6: Test Your Agent
  • Step 7: Monitoring
  • Step 8: Deploy the Agent
  • Step 9: Agent Evaluation
  • Step 10: Advanced Activities
  • Smart Supply Chain Management System

Recommend allocating 1 hour daily to complete the course in 15 Days.

Though you can attempt the online exam anytime as per your convenience, we highly recommend attempting the exam within 10Days of course completion, as the subject will be fresh in your mind, and you get sufficient time to prepare/revise as well

Followed by the certification session, an exam will be conducted for a total of 100 marks.

You need to acquire 60+ marks to clear the exam.

If you fail to acquire 60+marks, you can retake the exam after one day.

The maximum number of retakes will be three.

If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam.

Top Job Roles

A Certified Agentic AI Developer™ is a recognised professional with a certification that attests to their advanced expertise in developing and implementing agentic artificial intelligence systems. These experts possess in-depth knowledge and skills in designing autonomous AI agents capable of decision-making, problem-solving, and executing tasks with minimal human intervention. They excel in creating intelligent, goal-driven systems that operate effectively in dynamic environments. Certified Agentic AI Developers are at the forefront of AI innovation, driving the development of transformative solutions and applications that empower industries with cutting-edge autonomous capabilities.

This certification program is perfect for individuals passionate about artificial intelligence, autonomous systems, and cutting-edge AI technologies. It is tailored for software developers, AI engineers, data scientists, robotics experts, and professionals aiming to specialise in creating agentic AI systems. Whether you’re an experienced professional looking to expand your expertise or a beginner eager to explore the potential of autonomous AI, this certification equips you with the skills and knowledge to excel in the dynamic field of agentic AI development.

Certified Agentic AI Developers™ specialise in designing, building, and deploying autonomous AI systems capable of making decisions, solving problems, and performing tasks with minimal human intervention. They leverage their expertise in agentic AI architectures, tools, and methodologies to create intelligent systems that adapt to dynamic environments and execute complex workflows. These professionals collaborate with multidisciplinary teams to integrate agentic AI into various applications, such as robotics, autonomous vehicles, smart assistants, and process automation. Their role is pivotal in advancing the development of autonomous technologies, driving innovation, and enhancing efficiency across diverse industries.

  • Robotics and Automation
  • Autonomous Vehicles and Transportation
  • Smart Systems and IoT Applications
  • Defence and Aerospace
  • Industrial Manufacturing and Logistics

Certification Benefits

Frequently Asked Questions

A Certified Agentic AI Developer™ is a recognised professional with advanced knowledge and skills in designing, developing, and deploying autonomous AI systems, holding a certification that validates their expertise in the field.

Software developers, data scientists, AI researchers, and anyone interested in pursuing a career in AI-driven language modeling.

Comprehensive understanding of agentic AI development, validation of skills and expertise, career advancement opportunities, industry recognition, and access to continuous learning and networking opportunities in the field of autonomous AI systems.

Yes, you can retake the certification exam if you do not pass it on your first attempt. Please refer to the certification guidelines for specific details on retake policies and procedures.

There are no specific prerequisites for enrolling in the Certified Agentic AI Developer™ program. However, a basic understanding of programming, AI concepts, and autonomous systems would be beneficial.

The Certified Agentic AI Developer™ program is designed to be completed within a flexible timeframe, allowing you to progress at your own pace. While the recommended duration for completing the program is six weeks, the actual time may vary based on individual learning preferences and prior experience.

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