AI Fundamentals & Generative AI Essentials
Target audience: Complete beginners, business leaders, and non-technical professionals.
Applicable duration: 30 mins · 60 mins · 120 mins
Artificial intelligence has rapidly transitioned from an academic discipline into the defining technological paradigm of modern commerce. However, for professionals and business decision-makers stepping into the ecosystem for the first time, the sheer volume of buzzwords, conflicting vendor claims, and opaque technical jargon can feel overwhelming. Navigating modern AI requires separating genuine technological capabilities from marketing hyperbole.
In this dedicated 1:1 live mentoring session, you will pair with an experienced AI practitioner who breaks down the foundational mechanics of artificial intelligence in clear, approachable, business-friendly terms. You will explore what AI truly is, distinguish classical predictive systems from modern generative models, and discover how large language models (LLMs) like ChatGPT process information and generate natural language responses.
Your mentor will guide you through a live, interactive tour of leading consumer and commercial AI tools, establishing essential terminology—such as tokens, parameters, prompt contexts, and inference. You will analyse real-world case studies demonstrating how AI is actively restructuring workflows across finance, legal, marketing, and operations. Finally, you will explore the critical boundaries of AI: understanding hallucinations, data privacy boundaries, and ethical guidelines to ensure safe, responsible adoption in your daily professional practice.
What you will learn
- What is AI? Deconstructing core artificial intelligence definitions, historical evolution, and the shift from rule-based computing to machine learning.
- Generative AI and How It Works Understanding how generative models synthesize text, imagery, and code using statistical pattern recognition.
- ChatGPT and Other AI Tools Practical navigation and feature comparison across ChatGPT, Anthropic Claude, Google Gemini, and Microsoft Copilot.
- AI Terminology and Concepts Demystifying foundational concepts including foundation models, context windows, tokens, hallucinations, and inference.
- How AI is Changing Different Industries Examining tangible transformation patterns in customer service, content generation, market analysis, and software development.
- AI Limitations, Risks, and Responsible Use Identifying factual inaccuracy, algorithmic bias, copyright concerns, and corporate data leakage risks.
Qualifications you will acquire
- Foundational AI Literacy Competency: Verified ability to explain generative AI concepts and evaluate vendor AI offerings objectively.
- Commercial AI Tool Selection Mastery: Demonstrated skill in identifying the optimal AI tool for specific administrative, analytical, or operational tasks.
- Responsible AI & Risk Awareness Qualification: Practical competence in identifying hallucinations, enforcing data privacy, and mitigating corporate IP exposure.
- Strategic AI Opportunity Mapping: Ability to spot high-impact, low-risk AI implementation opportunities within existing business workflows.
Key features
- 100% 1:1 Live Beginner-Friendly Mentoring: Dedicated private screen-sharing session with a patient, experienced AI consultant (zero pre-recorded filler).
- Live Tool Walkthrough: Interactive demonstrations and hands-on navigation directly inside leading AI platforms.
- Zero Technical Prerequisites: Accessible to non-programmers, career switchers, and business executives.
- Personalised AI Action Plan: Receive a tailored summary document detailing recommended tools and safe adoption practices for your specific field.
- Curated AI Glossary & Resource Pack: Take away a concise reference guide explaining essential AI acronyms and terminology.
