Reimagining Learning with AI
How AI can automate, augment, and transform the learning workflow
About this webinar
AI can draft content, generate assessments, restructure information, and dramatically accelerate course development. But faster output does not automatically mean better learning.
This practical 90-minute webinar explores where AI genuinely adds value across the instructional design workflow, where it only appears effective, and which decisions should remain firmly in human hands.
Through real examples and hands-on application, participants will examine how AI can support needs analysis, learning objectives, content development, assessments, and review without compromising instructional quality.
What you'll experience
AI That Looks Right — But Isn't
Examine examples of AI-generated learning content that appears polished and credible but fails fundamental instructional design principles.
Automate, Assist or Never Delegate
Re-map the instructional design workflow and identify which activities AI can automate, which it should assist, and where human judgment must remain central.
Prompting as Design Thinking
Discover why strong prompts are not about prompt tricks — they are a reflection of clear instructional thinking, objectives, and design intent.
Practical Monday-Morning Application
Leave with a practical way to integrate AI into your existing learning workflow without sacrificing quality, context, or instructional judgment.
Session agenda
Opening — The Wrong Question
Why “Will AI replace instructional designers?” is the least useful question to ask — and what the changing learning landscape actually requires from instructional designers.
What AI Is Actually Good At
Explore drafting, restructuring, content variation and first-pass assessment generation — alongside the outputs AI produces fluently but incorrectly.
The Instructional Design Workflow, Re-Cut
Walk through needs analysis, learning objectives, content, assessment and review using a simple framework: Automate, Assist or Never Delegate.
Prompting as Design Thinking
Understand why vague prompts and vague learning objectives fail for the same reason, followed by hands-on application using a real instructional design task.
Keeping Judgment in the Room
Explore what must remain human, why instructional judgment continues to matter, and one practical AI application participants can start using immediately.
Key learning outcomes
Who should attend
Meet your speaker
Chaitanya Prabhu Hakkaladaddi
Instructional Design & Learning Consultant | Founder, Meka Learning Interactive
Chaitanya brings 25+ years of experience across instructional design, learning consultancy and digital learning. At Tata Interactive Systems, he conceptualized the Story-Based Learning (StoBL™) methodology and worked with organizations including UNFPA, Procter & Gamble, Caterpillar, General Electric and Ingersoll-Rand.
He later led a 100+ instructional design team at Cognizant Interactive and has designed learning solutions for clients across the US, UK, Australia and Europe. Today, he leads Meka Learning Interactive, developing AI-assisted courseware for international clients.
Why this session matters
AI is making learning content dramatically easier to create. The challenge is that content generation and instructional design are not the same thing.
As AI takes over more drafting and production work, the value of learning professionals increasingly shifts toward diagnosing learning needs, defining strong objectives, making design decisions, evaluating quality, and applying contextual judgment.
This session helps learning professionals move beyond simply “using AI” and develop a clearer framework for deciding where AI should automate, where it should augment, and where human expertise must remain in control.
