Home Course Detail
Formerly known as AI+ Agent™<br> <br> Empower businesses with AI+ Agent Specialty™ to design, deploy, and scale intelligent agents.

AI+ Agent Specialty™

Study Type

Self Paced

No of Exam

1

Modules

8

Exam Time

50 MCQs, 90 minutes

Passing Score

70% (35/50)

Buy Now for $195

Empower Automation with AI+ Agent Specialty™ for intelligent, efficient task execution

  • Beginner-Friendly Pathway: Perfect for learners stepping into the world of AI agents, offering simple, structured guidance for confident skill-building
  • Immersive Learning Experience: Combines essential AI agent fundamentals, intuitive tools, and real-world workflows to help you understand, build, and deploy automated agents
  • Action-Oriented Skill Development: Features practical exercises, scenario-based tasks, and guided projects so you can design, optimise, and showcase high-performance AI agents with ease

  • Basic Understanding of AI Concepts – Familiarity with core AI principles.
  • Programming Knowledge – Proficiency in Python or similar languages.
  • Data Analysis Skills – Ability to interpret and manipulate datasets.
  • Problem-Solving Mindset – Analytical thinking to address AI challenges.
  • Familiarity with Machine Learning – Understanding basic ML algorithms and techniques.

Module 1: Introduction to AI Agents

  1. 1.1 Understanding AI Agents
  2. 1.2 Anatomy and Ecosystem of AI Agents
  3. 1.3 Applications, Misconceptions, and Mini Case Studies
  4. 1.4 Case Study: Transforming Customer Support at Acme Retail with AI Agents
  5. 1.5 Hands-On Exercise 1: Build a Q&A ChatBot Using Gemini + Prompt + LLM Chain in Flowise Cloud

Module 2: Core Concepts & Types of AI Agents

  1. 2.1 Anatomy of an AI Agent
  2. 2.2 Classification of AI Agents
  3. 2.3 Matching Agents to Use Cases
  4. 2.4 Case Study: Enhancing Mental Health Support with AI Agents at Earkick
  5. 2.5 Hands-On Exercise

Module 3: Tools for Non-Coders

  1. 3.1 No-code and visual agent platforms
  2. 3.2 Tools Overview and Setup
  3. 3.3 Start building: “Your First Flow” with n8n
  4. 3.4 Case Study: Empowering HR with AI – Building an Onboarding Assistant Without Coding
  5. 3.5 Hands-on Exercise

Module 4: Building Simple Agents

  1. 4.1 Agent 1
  2. 4.2 Agent 2
  3. 4.3 Agent 3
  4. 4.4 Agent 4
  5. 4.5 Troubleshooting and Validation of AI Agents
  6. 4.6 Share Your AI Agent
  7. 4.7 Hands-On Exercise 1

Module 5: Multi-Tool Agents and Workflow Automation

  1. 5.1 Multi-Tool Agents
  2. 5.2 Agent Chaining and Workflow Basics
  3. 5.3 Managing Agent State: State, Context, and User Journey
  4. 5.4 Prompt Engineering for Agents
  5. 5.5 Multi-Agent Systems (MAS)
  6. 5.6 Case Study: Smarter Marketing Campaigns with Tool Chaining
  7. 5.7 Hands-on Exercise: Automating Order Tracking and Notifications with Make.com

Module 6: Integration, Application Mapping & Deployment

  1. 6.1 Deploying Agents
  2. 6.2 Channel Selection – Where the User will Interact
  3. 6.3 Hosting Environment – Where does the Agent Run?
  4. 6.4 Data Integration
  5. 6.5 Security Setup
  6. 6.6 Monitoring & Updates
  7. 6.7 Application Mapping
  8. 6.8 Hands-on Exercise 1: Integration of a Portfolio Assistant Chatbot into GitHub Pages using Zapier

Module 7: Monitoring, Guardrails & Responsible AI

  1. 7.1 Observability Basics
  2. 7.2 Performance Evaluation: Key Metrics
  3. 7.3 Guardrails: Preventing Misuse & Ensuring Safe Outputs
  4. 7.4 Responsible AI
  5. 7.5 Mini-Case: Failure and Recovery in Agent Deployments
  6. 7.6 Real-world Failures
  7. 7.7 Peer Sharing: How to Present and Discuss Agent Logs/Results

Module 8: Capstone Project – Design Your Own Intelligent Agent

  1. 8.1 Capstone Project 1: Smart Personal AI Assistant
  2. 8.2 Capstone Project 2: Smart Lead Engagement – From Email to Personalized Outreach – Sales Support Agent
  3. 8.3 Capstone Project 3: Education Tutor Agent
  4. 8.4 HR Knowledge Bot
  5. 8.5 Customer Service Agent
  6. 8.6 Healthcare Triage Bot

Agent Foundations:

Understand AI agent fundamentals, architectures, and real-world use cases across different industries and workflows.

Agent Design & Building:

Design and build task-oriented and conversational agents using modern frameworks, tools, and APIs.

Multi-Agent Orchestration:

Orchestrate multi-agent systems that collaborate, share context, and handle complex, end-to-end workflows.

Performance & Optimization:

Implement monitoring, evaluation, and optimization strategies to improve agent performance, reliability, and user experience.

Responsible Deployment:

Apply best practices for secure, ethical, and human-in-the-loop deployment of AI agents in production environments.

AI Agent Solutions Architect

Design and implement end-to-end AI agent ecosystems that automate complex workflows and integrate seamlessly with enterprise systems.

Conversational & Virtual Agent Designer

Create intelligent customer-facing agents that handle inquiries, personalize interactions, and enhance user experiences across digital channels.

Automation & Operations Lead

Oversee deployment, monitoring, and optimization of AI agents to ensure reliability, scalability, and continuous improvement in automated processes.

AI Agent Product Manager

Define strategy, roadmap, and performance metrics for agent-based products and platforms that drive business value and innovation.

Head of Intelligent Agent Transformation

Lead organization-wide adoption of AI agents, aligning technology, teams, and processes to enable scalable, autonomous operations.

Ques:- Can I apply what I learn in this course to real-world scenarios immediately?

Ans:-Yes, this certification is highly practical, focusing on building and deploying AI agents for real workflows. You’ll be able to apply agent-based automation directly to business processes, customer journeys, and internal operations.

Ques:- What makes this course different from other AI courses?

Ans:-This certification focuses specifically on intelligent agent design, orchestration, and deployment—going beyond theory to show how agents can act, decide, and collaborate across tools, apps, and systems in real business environments.

Ques:- What type of projects will I work on?

Ans:-You’ll build task-oriented and conversational agents, multi-agent workflows, tool-using agents, and process-automation solutions—mirroring real organizational use cases like support automation, internal copilots, and workflow agents.

Ques:- How is the course structured to ensure I actually learn the skills?

Ans:-The course combines expert-led lessons, guided labs, and project-based learning where you design, configure, and deploy agents end-to-end, ensuring you gain hands-on, implementation-ready skills—not just conceptual knowledge.

Ques:- How does this course prepare me for the job market?

Ans:-It equips you with in-demand skills in agent building, orchestration, and automation, along with a portfolio of agent projects that align with emerging roles in AI engineering, automation, and intelligent systems design.

Join Our AI Community Now!

Be part of a global network of innovators, developers, and AI enthusiasts shaping the future of technology. Whether you’re just starting or building the next breakthrough, our community is the place for you!

🤝 Collaborate & Connect

Meet like-minded individuals and work together on innovative AI projects.

📚 Learn & Grow

Access tutorials, resources, and discussions to level up your AI knowledge.

🧩 Take Part in Challenges

Join hackathons and competitions that push your creativity forward.

Who Can Join?

AI enthusiasts, developers, data scientists, entrepreneurs, students, and anyone curious about artificial intelligence.

Join Our Community

Together, we’re not just learning AI — we’re creating it.