Pre-requisites
☆ Basic familiarity with AI concepts (e.g., generative AI, chatbots, or automation tools) – no deep technical expertise required
☆Interest in business workflows, problem-solving, or innovation – ideal for professionals who want to spot and design opportunities
☆Open mindset and curiosity – willingness to think creatively about how agents can be applied across domains
Upcoming Batches
September 2025
13th &
13
th
13th & 20th
September 2025
Why Thinking Like an AI Agent Architect is a Must-Have Skill
This course is designed to shift participants from knowing about AI agents to thinking with AI agents. Through case studies, guided exercises, and design-thinking methods, participants will learn how to identify opportunities, frame agent-powered solutions, and map pathways to real-world adoption.
Course Objectives
By the end of this course, participants will be able to:
☆ Understand the difference between learning AI agents vs applying AI agents
☆ Identify high-impact areas where agents can drive value in business or daily workflows
☆ Frame use cases using design-thinking and systems-mapping approaches
☆ Explore real-world case studies across industries
☆ Develop a mini use case portfolio tailored to their work or organization
Upcoming Batches
Jul 2023
0
nd
Aug 2023
0
th
Sep 2023
0
rd
Oct 2023
0
st
Course Duration
Hours
1
Day
1
Have a look
Course Outline
☆ What are AI agents really?
☆ Why most people learn but don’t apply
☆ Shifting from technology-first to use-case-first thinking
☆ Design thinking for AI agents
☆ Identifying workflows ripe for automation/augmentation
☆ Group activity: Map agent opportunities in your own role/business
☆ Case studies of AI agents in action (enterprise, startups, personal productivity)
☆What worked, what failed, and why
☆ Framework for evaluating feasibility and ROI
☆ What to build vs what not to build
☆ Group activity: Draft your own Agentic Use Case Canvas
☆ Presenting your top 1–2 ideas
☆ Peer feedback
☆ Next steps: turning ideas into prototypes
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Certificate of Completion For The Program
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