Level Up with Generative AI in Just One Day
Become a Registered Gen AI Practitioner™ and transform how you work.
Learn to leverage top AI tools and implement solutions for real business challenges. Leave equipped to confidently lead AI adoption in your organization.

Turn One Day of Training into Years of Productivity

Immediately Applicable Skills

Confidence to Lead AI Adoption
Develop the insight and capability to lead informed conversations around AI tools, manage AI-driven experiments, and accelerate responsible adoption within your organization.

Build expertise in evaluating and using leading GenAI platforms (ChatGPT, Claude, Gemini, Mistral, Perplexity) to select and apply the optimal tool for your specific business challenges.
Is This Course Right for You? (Yes.)
This one-day course is ideal for:
Business Leaders & Managers who need to implement AI solutions that deliver measurable ROI while guiding teams through adoption without technical complexity.
Knowledge Workers & Professionals seeking to automate routine tasks, enhance their professional value, and increase productivity through AI-powered workflows.
Innovation & Digital Transformation Teams tasked with evaluating emerging technologies and building future-ready capabilities within their organization.
Professionals without a technical background who want a practical, business-focused approach to AI that delivers immediate results—no coding required.

Course Overview

Duration:
1 day (live, instructor-led)

Format:
Online or In-Person (based on session)

Hands-on:
Includes live demos, prompt design practice, and custom GPT-building exercises

Credential:
Registered Gen AI Practitioner™ (Digital Badge & Industry Recognition)
By the end of this course, you’ll gain the confidence to leverage AI responsibly.

Explain core concepts of artificial intelligence and generative AI, including how large language models (LLMs) work and where they are applied.
Apply foundational prompt engineering tactics to generate reliable and high-quality outputs from AI models.
Evaluate the limitations, risks, and ethical considerations of using generative AI in business and creative contexts.
Compare major models and platforms in the LLM landscape, including OpenAI, Claude, Gemini, Perplexity, and Meta’s LLaMA.
Understand the role of Retrieval-Augmented Generation (RAG) and its impact on context-aware AI responses.
Demonstrate use of assistant tools such as OpenAI GPTs, Cheshire Cat, and GPTplane to extend and customize AI behavior.
Describe what agents are in the context of AI, how they differ from assistants, and their potential business applications.
Navigate the evolving agent ecosystem and assess different tools and frameworks for building AI agents.
Build and deploy a basic custom AI GPT, incorporating prompt chaining, memory, and task orchestration principles.
