Course Format and Delivery

Delivery Method: LiveOnline 
Schedule: 3 sessions of 4.5 hours
Cost: Contact info-us@softed.com

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About This Course

an intensive, hands-on, 3-day course designed for Learning & Development professionals who want to use generative AI to dramatically accelerate the design of training programs, certifications, and assessments—without sacrificing rigor, alignment, or quality.  

In this course, you will learn how to use generative AI as a production engine for instructional design. Rather than focusing on tools alone, the course centers on mastering the 3 Pillars of AI—Bias, Rules, and Content—so you can reliably generate structured, defensible, and standards-aligned outputs.

By the end of the program, participants will be able to rapidly produce Job Task Analyses (JTAs), exam blueprints, learning objectives, Instructor-Led Training (ILT) materials, PowerPoint decks, eLearning storyboards, and validated assessments using Gems and Custom GPTs. The emphasis is on precision prompting, quality control, and repeatable workflows that scale across multiple training initiatives. 

This course is ideal for instructional designers, certification developers, curriculum architects, training managers, and L&D leaders who want to move from manual content creation to AI-assisted design at enterprise speed.

What you will learn

• A complete AI-generated course framework, ready for delivery or development
• A Job Task Analysis (JTA) aligned to real-world competencies
• Measurable, standards-aligned learning objectives
• A defensible exam blueprint and validated assessment questions
• An Instructor-Led Training (ILT) slide deck with speaker notes
• A detailed eLearning storyboard ready for Articulate or similar tools
• Repeatable AI prompting workflows you can reuse across future programs

Most importantly, you’ll gain a repeatable methodology for using AI to accelerate training and certification development—without compromising quality, alignment, or rigor.

This course is great for

• Instructional Designers and Curriculum Developers
• Certification and Assessment Developers
• Learning & Development Managers and Leaders
• Training Program Architects and Technical Trainers
• Organizations modernizing ILT, eLearning, or certification pipelines with AI

This is an intermediate to advanced course intended for participants who already understand basic instructional design concepts and want to apply AI in a structured, defensible way.

Topics Covered

Day 1: The Foundation — Strategy, Structure, and Standards

Build the architectural blueprint for AI-assisted training and certification development

Session 1: Controlling the AI Beast (1.0 Hour)

• The 3 Pillars of AI Mastery: Deep dive into controlling Bias, Rules, and Content.
• Prompt Engineering Strategy: How to prompt for structure, not just text.
• The Critique Loop: Using AI to act as your harshest critic and quality assurance partner.

Session 2: Analysis & Architecture (1.5 Hours)

• Automated Job Task Analysis (JTA): Using GPTs to extract core competencies instantly.
• The Exam Blueprint: generating a statistically valid exam map based on JTA data.
• Targeting Proficiency: Configuring AI to align with specific Bloom’s Taxonomy levels.

Session 3: Defining Success (2.0 Hours)

• Drafting Learning Objectives: Creating measurable, strict objectives using Custom Gems.
• Alignment Check: Validating that objectives match the JTA and Blueprint.
• Workshop: Build your specific Course Profile.

Day 2: The Content Engine — From Outline to Assets

Convert objectives into complete ILT and eLearning deliverables.

Session 1: Instructor-Led Training (ILT) Development (2.0 Hours)

• The "One-Prompt" PPT Structure: Generating slide content, speaker notes, and timing in a single pass.
• Creating PPT Modules: Formatting AI output for direct import into presentation tools.
• Speaker Notes & Scripts: Generating engaging narratives for live delivery.

Session 2: The eLearning Storyboard (1.5 Hours)

• Word-Based Storyboarding: Creating detailed visuals, on-screen text, and narration scripts for Articulate/Captivate.
• Scenario Generation: prompting AI to write realistic branching scenarios.
• Formatting for Developers: Structuring output for clear hand-off to media developers.

Session 3: The AI Quality Cycle (1.0 Hour)

• Critique & Refine: Running your generated content back through the "Rules" engine for compliance checking.
• Iterative Polishing: Refining tone, clarity, and engagement.

Day 3: Assessment & Validation — rigorous Testing with Bots

Design, test, and validate assessments using AI personas.

Session 1: Interaction & Engagement (1.0 Hour)

• Classroom Activities: Generating icebreakers, group exercises, and hands-on labs.
• Knowledge Checks: Creating formative assessments that align with specific slides/screens.

Session 2: The Exam Factory (2.0 Hours)

• Objective-Based Questioning: Generating exam items directly linked to Day 1 Learning Objectives.
• Distractor Logic: Using AI to create plausible, challenging wrong answers.
• Quiz vs. Certification: Adjusting difficulty and validity standards.

Session 3: Validation & "Bot Testing" (1.5 Hours)

• Simulating the Learner: Creating "Student Bots" (Personas) to take your exam and predict pass rates.
• Gap Analysis: Identifying confusing questions based on Bot performance.

Final Course Output

Participants leave with a complete, AI-generated course package, including:

• Job Task Analysis
• Learning objectives
• Exam blueprint
• ILT slide deck and speaker notes
• eLearning storyboard
• Assessments and validation artifacts

All assets are structured for immediate delivery or handoff to development teams.