AI+ Agent SpecialtyTM
Learn to design, deploy, and scale intelligent AI agents that automate tasks and workflows efficiently.
Empower Automation with AI+ Agent Specialty
- Beginner-Friendly Pathway:
Structured, simple guidance that builds confident agent skills step by step - Immersive Learning:
Agent fundamentals, intuitive tools, and real-world workflows to build and deploy automated agents - Action-Oriented Practice:
Exercises, scenario tasks, and guided projects to design, optimize, and showcase agents
Prerequisites
- Basic understanding of AI concepts
- Programming proficiency in Python or a similar language
- Data analysis skills for interpreting and manipulating datasets
- Problem-solving mindset for addressing AI challenges
- Familiarity with basic machine learning algorithms and techniques
The AI+ Agent Specialty™ self-paced course includes:
1. 8 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- Industry Recognition: A specialized credential signaling capability in AI agent design, deployment, and management.
- Career Differentiation: A standout profile addition highlighting expertise in AI-powered automation and intelligent workflows.
- Hands-on Proficiency: Demonstrated experience with agent-building tools, frameworks, and best practices.
- Business Value Creation: Ability to build agents that streamline operations, improve customer experiences, and drive measurable ROI.
- Future-ready Skill Set: Alignment with growing demand for AI agents across industries.
What You'll Learn?
1.1 Understanding AI Agents
1.2 Anatomy and Ecosystem of AI Agents
1.3 Applications, Misconceptions, and Mini Case Studies
1.4 Case Study: Transforming Customer Support at Acme Retail with AI Agents
1.5 Hands-On Exercise 1: Build a Q&A ChatBot Using Gemini + Prompt + LLM Chain in Flowise Cloud
2.1 Anatomy of an AI Agent
2.2 Classification of AI Agents
2.3 Matching Agents to Use Cases
2.4 Case Study: Enhancing Mental Health Support with AI Agents at Earkick
2.5 Hands-On Exercise
3.1 No-code and visual agent platforms
3.2 Tools Overview and Setup
3.3 Start building: Your First Flow with n8n
3.4 Case Study: Empowering HR with AI, Building an Onboarding Assistant Without Coding
3.5 Hands-on Exercise
4.1 Agent 1
4.2 Agent 2
4.3 Agent 3
4.4 Agent 4
4.5 Troubleshooting and Validation of AI Agents
4.6 Share Your AI Agent
4.7 Hands-On Exercise 1
5.1 Multi-Tool Agents
5.2 Agent Chaining and Workflow Basics
5.3 Managing Agent State: State, Context, and User Journey
5.4 Prompt Engineering for Agents
5.5 Multi-Agent Systems (MAS)
5.6 Case Study: Smarter Marketing Campaigns with Tool Chaining
5.7 Hands-on Exercise: Automating Order Tracking and Notifications with Make.com
6.1 Deploying Agents
6.2 Channel Selection: Where the User will Interact
6.3 Hosting Environment: Where does the Agent Run?
6.4 Data Integration
6.5 Security Setup
6.6 Monitoring & Updates
6.7 Application Mapping
6.8 Hands-on Exercise 1: Integration of a Portfolio Assistant Chatbot into GitHub Pages using Zapier
7.1 Observability Basics
7.2 Performance Evaluation: Key Metrics
7.3 Guardrails: Preventing Misuse & Ensuring Safe Outputs
7.4 Responsible AI
7.5 Mini-Case: Failure and Recovery in Agent Deployments
7.6 Real-world Failures
7.7 Peer Sharing: How to Present and Discuss Agent Logs/Results
8.1 Capstone Project 1: Smart Personal AI Assistant
8.2 Capstone Project 2: Smart Lead Engagement, From Email to Personalized Outreach, Sales Support Agent
8.3 Capstone Project 3: Education Tutor Agent
8.4 HR Knowledge Bot
8.5 Customer Service Agent
8.6 Healthcare Triage Bot
Job Roles & Industry Outlook
AI Agent Solutions Architect
Design and implement end-to-end agent ecosystems that automate complex workflows and integrate with enterprise systems.
Conversational & Virtual Agent Designer
Create customer-facing agents that handle inquiries, personalize interactions, and enhance digital user experiences.
Automation & Operations Lead
Oversee deployment, monitoring, and optimization of agents for reliability, scalability, and continuous improvement.
AI Agent Product Manager
Define strategy, roadmap, and performance metrics for agent-based products and platforms.
Head of Intelligent Agent Transformation
Lead organization-wide adoption of AI agents, aligning technology, teams, and processes.
Skills You’ll Gain
Tools You’ll Master
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
What’s Included
(One-Year Subscription + All Updates)
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone