The Beginner's Guide to Learning & Development with Copilot

This lecture unites the roles that answer the strategic questions, "Where are we going?" and "What do we need to do to get there?". These leaders are responsible for setting the long-term vision and aligning the entire L&D function with the overarching business goals.

Here, we shift our focus to the roles that answer the practical question, "How will we do it right here, right now?". These professionals take the high-level strategy and break it down into concrete, time-bound projects and day-to-day tasks, ensuring the vision is successfully executed.

Explore practical ways Copilot can simplify and improve project management tasks.

Discover how to create complete project plans in Word with Copilot’s assistance.

Discover how to quickly turn project goals into actionable step-by-step checklists and task breakdowns using Copilot.

Discover how Copilot summarizes meetings and generates follow-up action items directly in Outlook.

Discover how Copilot helps you track overdue tasks and send effective follow-ups to keep projects on track.

See how AI can streamline collaboration and improve communication across different teams.

Discover how Copilot helps you monitor project expenses and keep budgets on track in Excel.

This lecture zeroes in on the role of the Instructional Designer (ID)—the architect of the learning experience. The ID systematically transforms strategic goals into concrete, measurable content, focusing on pedagogical effectiveness and learning psychology. They are the quality guarantee for every educational product delivered by the L&D function.

This lecture explores the role of the Content Developer, who transforms the Instructional Designer's blueprints into tangible, multimedia learning materials. They operate at the intersection of copywriting, technology, and learning theory, leveraging modern authoring tools and AI (like Copilot) to accelerate content production and scaling.

In this lesson, we'll show you how Copilot can help you with data search and collection.

In this lesson, we'll show you how to generate images in Copilot in seconds.

In this lesson, we'll cover how to easily write articles and texts using Copilot.

In this lesson, we'll show you how you can create a presentation from scratch using Copilot.

This lecture focuses on the 'frontline' roles—the Trainer and the Facilitator—who deliver the learning content directly to the employees. We detail their distinct functions, skillsets, and methods, emphasizing how the Trainer focuses on expert content delivery while the Facilitator focuses on supporting group processes and participant-led discovery.

This lecture delves into the critical, yet often underestimated, role of the L&D Coordinator. As the operational heart of the department, the Coordinator is responsible for logistics, LMS administration, stakeholder communication, and reporting. We examine their core daily duties, the necessary blend of administrative, technical (LMS, data), and soft skills, and how this tactical role transforms strategic plans into smooth, effective training delivery.

In this lesson, we'll show you how to analyze your Word file to save you time and effort.

Here, we'll show you how to quickly summarize the video on Youtube and ask questions about it.

This lesson sets the stage for integrating modern AI tools, detailing how Microsoft Copilot can be applied across all five ADDIE stages to dramatically accelerate content creation and analysis.

This lecture details the essential first phase of L&D strategy. Learn how to diagnose business problems, identify the true performance gap, and define measurable learning objectives by analyzing the audience, tasks, and organizational context.

This lecture covers the second phase of ADDIE, focusing on instructional architecture. You will learn to translate business goals into measurable Learning Objectives, structure content into a logical Course Map, and choose the most effective instructional strategies and delivery formats (e.g., blended learning) to ensure constructive alignment.

The Development phase transforms the Design Document into a finished, tested learning product. This lecture covers the entire content creation pipeline, including scriptwriting, multimedia production, development of performance-based activities, technical integration (LMS, Teams), and the critical Quality Assurance (QA) and pilot testing processes.

The Implementation phase is where design and content meet the real world. This lecture details the critical steps for successful rollout, including Learner Readiness and Train-the-Trainer (TTT) programs, LMS and platform setup, running a targeted communication campaign

The final phase of ADDIE, Evaluation, ensures the program delivered measurable value. This lecture covers the four levels of Kirkpatrick’s model, distinguishing between formative and summative assessment, leveraging data analytics (LMS logs, surveys), and using results to drive continuous improvement and future iterations of the ADDIE cycle.

Understand the core principles for using AI responsibly, ethically, and safely in professional environments.

Learn how to respect intellectual property, give proper credit, and ensure originality when using AI-generated content.

Identify and reduce biases in AI systems to promote fairness, equity, and inclusion in outcomes.

Discover best practices for protecting personal and confidential data when interacting with AI tools.

Develop skills to verify and validate AI-generated information to ensure accuracy and reliability.

Explore global AI regulations and understand how policies like GDPR affect AI usage and compliance.

Learn strategies to balance AI automation with critical human judgment and decision-making.

Uncover how AI can supercharge your professional development and open new career opportunities in the corporate world.

Here, we'll explore how to write prompts for text AI like ChatGPT, Claude, Copilot, etc.

Here, we'll explore how to write prompts for image-generating AI.

Learn how to structure digital marketing strategies using the RACE Framework: Reach, Act, Convert, and Engage.

Discover how the ReAct prompting framework enables AI to reason and act step-by-step for more accurate and contextual responses.

Explore the Tree of Thought method, which guides AI through branching decisions to improve problem-solving and planning.

Understand how Self-Ask prompting encourages AI to generate and answer its own sub-questions for complex queries.

Learn the top reasons prompts fall short and get practical tips to craft more effective, agent-friendly instructions.

Understand how to assess AI responses using clear evaluation criteria like relevance, accuracy, and usefulness.

Learn the foundational language and key concepts that power generative AI technologies like ChatGPT.

Master advanced strategies to craft effective prompts that drive accurate, context-aware AI responses.

Deepen your prompt engineering skills with techniques for refining outputs and guiding complex AI behavior.

Discover and apply tools that let you test, compare, and optimize AI prompts for consistent results.

Learn specialized prompt techniques tailored for different industries, tasks, or creative use cases.

In this lesson, you will learn how to leave a review for the course.

In this lesson, you will learn how to get a certificate.

You’ve completed the course—now it’s time to go beyond! In this bonus lecture, you’ll discover how to:

✅ Get support in your career growth with exclusive communities and resources

✅ Develop new knowledge and stay ahead with advanced AI skills

✅ Enhance your expertise with additional courses and hands-on challenges

Don’t stop here—keep growing, keep learning, and unlock new opportunities!