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Agentic AI & Automation

$2,200.00

Next 8-week session starting now
Build intelligent AI agents that can think, plan, and execute tasks autonomously. This program equips professionals, developers, entrepreneurs, and students with the foundational skills to design AI agents, automate workflows, and implement real-world AI-powered systems for business growth and productivity.
This course earns you a Certificate of Completion from CLAIM.
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Key Concepts

  • Introduction to Agentic AI
  • How AI Agents Think & Reason ​
  • Goals, Memory, Tools & Actions
  • Prompt Engineering Fundamentals
  • Automation Workflows & Triggers ​
  • API & Integration Basics
  • Building AI-Powered Assistants ​
  • Multi-Step Task Automation ​
  • AI for Business Productivity
  • Ethics & Responsible AI Use ​

What You Earn

certificate

Syllabus

7 Modules

Module 1: Introduction to Agentic AI

Objective: Understand what Agentic AI is and how it differs from traditional AI tools.

Topics Covered:
  • What is Artificial Intelligence?
  • What is Agentic AI?
  • Difference between:
    • AI tools (ChatGPT-style)
    • AI Assistants
    • AI Agents
  • Real-world examples of AI agents
  • How automation is changing industries
Practical:
  • Use an AI tool to perform a multi-step task
  • Identify whether it behaves like a tool or an agent

Module 2: Understanding AI Agents

Objective: Learn how AI agents think and operate.

Topics Covered:
  • What makes an AI “agent”?
  • Core components:
    • Goal
    • Memory
    • Tools
    • Reasoning
    • Action
  • Single-agent vs Multi-agent systems
  • Examples of agent workflows
Practical:
  • Design a simple agent workflow on paper:
    • Example: “AI Social Media Assistant”

Module 3: Basics of Automation

Objective: Understand automation fundamentals before combining with AI.

Topics Covered:
  • What is automation?
  • Rule-based vs AI-based automation
  • Triggers and actions
  • APIs (basic understanding)
  • Webhooks (basic concept)
  • No-code automation platforms overview
Practical:
  • Create a simple automation flow:
    • Form submission → Email notification
  • Understand how data moves between systems

Module 4: Tools for Agentic AI (Beginner Level)

Objective: Get familiar with practical tools used in building AI agents.

Topics Covered:
  • AI Models (LLMs explained simply)
  • Prompt engineering basics
  • Introduction to:
    • Workflow automation tools
    • AI chat platforms
    • No-code tools
  • Basic concept of:
    • Docker (what it is)
    • APIs
    • Integrations
Practical:
  • Build a basic AI chatbot
  • Create a workflow:
    • User message → AI response → Save to database

Module 5: Building a Simple AI Agent (Hands-On)

Objective: Build a beginner-level agent with simple automation.

Topics Covered:
  • Defining agent goals
  • Giving tools to the agent
  • Basic memory concept
  • Task chaining
  • Error handling basics
Project: Build one of the following:
  • AI Customer Support Assistant
  • AI Lead Qualification Agent
  • AI Content Generator Agent
  • AI Email Automation Assistant

Module 6: Real-World Applications

Objective: See how Agentic AI is used in real industries.

Topics Covered:
  • AI in Marketing Automation
  • AI in Customer Support
  • AI in E-commerce
  • AI in Education
  • AI in Software Development
  • Ethical considerations
  • Risks and limitations
Case Study Discussion:
  • Replacing repetitive human tasks
  • Augmenting human work (not replacing)

Module 7: Final Capstone Project

Objective: Combine everything learned into one mini-project.

Student Must:
  • Define a real-world problem
  • Design an agent solution
  • Create workflow diagram
  • Build a simple prototype
  • Present use case

Certification Criteria

Complete all practical tasks
Submit final project
Pass short quiz (basic)
Submit workflow diagram
By the end of this course, students will understand:
What Agentic AI is
How AI agents work
How automation systems operate
How to design simple AI workflows
How to build a beginner-level AI agent
Career opportunities in AI automation

About the Professor

Darsh Singh

Darsh Singh

Darsh Singh is the Dean of the AI Department at CLAIM and a leading expert in Artificial Intelligence applications. With years of experience in AI-driven business solutions, he specializes in no-code AI development, prompt engineering, and intelligent automation. His mission is to empower professionals, entrepreneurs, and organizations to harness AI for real-world impact and innovation.

Eligibility

8 Weeks $2,200.00
+ applicable international taxes
No documentation required
All learners must be at least 18 years of age, proficient in English, and committed to learning and engaging with fellow participants throughout the course.

What Learners are Saying

This training has given me tons of information - ammunition - for making an irresistible offer. It is well worth the time and money.

Name

John Guild
The information has been so insightful and will help step up my marketing game hugely! Darsh has delivered amazing content. Love it! Highly recommend for your marketing efforts.

Name

Ekiwi Online
Darsh is so knowledgeable about AEO and gave me so many valuable insights as to what is important, how AEO will help me launch my business and why I need to be a part of the AEO journey.

Name

Kimberly Wooden

Course FAQs

What is Agentic AI, and how is it different from regular AI tools or assistants?
Agentic AI is goal-driven and can use memory, tools, and reasoning to take multi-step actions autonomously. In this beginner course, you’ll compare AI tools, assistants, and agents and study real-world agent use cases.
Is this course suitable for beginners with no coding or AI background?
Yes—it's designed for beginners with no prior AI or programming experience. You’ll learn AI and automation fundamentals using no-code platforms through clear, step-by-step labs and templates.
How long does the course take, and is it self-paced?
The course runs 4–6 weeks and is fully self-paced across seven modules. Each module combines short lessons with hands-on exercises that build toward a final capstone.
What hands-on projects will I build, and what skills will I gain?
You’ll build a basic AI chatbot and a simple AI agent such as a customer support, lead qualification, content generator, or email automation agent. Skills include prompt engineering, agent goals/memory/tools, task chaining, error handling, and workflow automation.
What tools and platforms will I use, and do I need to code or install Docker?
You’ll use AI chat platforms, no-code workflow automation tools, and simple integrations with APIs and webhooks, with LLMs explained in plain language. No coding is required, and Docker is covered conceptually with optional setup guidance.
Will I receive a certificate, and what are the completion requirements?
Yes—earn a certificate by completing all practical tasks, submitting your capstone project with a workflow diagram, and passing a short theory quiz. This validates job-ready skills in Agentic AI and automation.
How does the final capstone project prepare me for real-world work?
You’ll define a real problem, design an agent solution, diagram the workflow, and build a working prototype. The portfolio-ready project showcases end-to-end Agentic AI and no-code automation skills for roles like AI operations or automation specialist.

Top FAQs

What programs are available at CLAIM?
CLAIM offers fully online, specialized programs in AI, business strategy, digital leadership, and professional management designed for professionals, entrepreneurs, and students.
Are the courses 100% online and flexible?
Yes, all CLAIM courses are delivered online and feature flexible learning options to accommodate busy schedules and global learners.
What certification do I receive after completing a program?
Graduates earn a globally recognized certificate in AI, business management, or related fields, enhancing professional credentials.
Who teaches the courses at CLAIM?
Courses are led by experienced faculty and industry experts who provide practical guidance and real-world insights.
What makes CLAIM different from other institutions?
CLAIM uniquely combines advanced AI technologies with practical business applications, hands-on projects, and a business-centric curriculum to ensure actionable learning outcomes.
How does CLAIM support career advancement?
CLAIM equips learners with future-ready skills, industry-relevant knowledge, access to a professional alumni network, and credentials valued by employers.
How can I join the CLAIM community?
You can apply directly online through CLAIM’s official website, with options for career support and access to a global professional community upon enrollment.
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