Course Details

Introduction to Generative AI and LLMs (ChatGPT, Claude, etc.) Training Course

Introduction

Generative Artificial Intelligence (AI) and Large Language Models (LLMs) like ChatGPT, Claude, and Gemini represent a revolutionary leap in AI capabilities, fundamentally transforming how we interact with technology, create content, and approach problem-solving across every sector. These powerful tools can generate human-like text, create images, compose music, write code, and much more, opening unprecedented opportunities for innovation, automation, and efficiency. However, for many professionals, the concepts behind Generative AI and LLMs remain shrouded in technical jargon, making it challenging to grasp their true potential, identify practical applications, and navigate the associated ethical considerations. Without a clear understanding of what these technologies are, how they work, and their implications, individuals and organizations risk being left behind in a rapidly accelerating digital landscape, missing opportunities to enhance productivity, drive creativity, and gain a competitive edge. Conversely, a foundational knowledge of Generative AI and LLMs empowers professionals to leverage these tools effectively, explore new business models, streamline operations, and prepare for the future of work. Ignoring this transformative wave of technology is no longer an option for forward-thinking professionals and businesses. Our intensive 5-day "Introduction to Generative AI and LLMs (ChatGPT, Claude, etc.)" training course is meticulously designed to equip business leaders, managers, marketers, content creators, developers, educators, and anyone interested in the future of AI with the essential knowledge and practical insights required to understand the fundamentals of Generative AI and LLMs, explore their diverse applications, navigate their limitations and ethical implications, and confidently integrate them into their professional workflows.

This comprehensive program will demystify the core concepts behind Generative AI, explain how LLMs are trained and function, showcase real-world examples of tools like ChatGPT, Claude, and others, and provide hands-on experience through practical exercises. Participants will learn how to effectively prompt LLMs, understand their capabilities and limitations, and explore responsible and ethical deployment strategies. By the end of this course, you will be proficient in speaking the language of Generative AI, identifying its strategic value for your role or organization, and confidently exploring its potential to drive innovation and efficiency.

Duration

5 Days

Target Audience

The "Introduction to Generative AI and LLMs (ChatGPT, Claude, etc.)" training course is crucial for a broad range of professionals who need to understand the impact and practical applications of these rapidly evolving technologies. This includes:

• Business Leaders and Executives: Seeking to understand strategic implications, opportunities, and risks for their organizations.
• Managers and Team Leaders: Needing to integrate Generative AI tools into team workflows and strategies.
• Marketing and Sales Professionals: Exploring new approaches to content creation, personalization, and customer engagement.
• Content Creators (Writers, Designers, Artists): Looking to leverage AI for idea generation, drafting, and creative augmentation.
• Educators and Trainers: Interested in the implications of LLMs for learning, research, and curriculum design.
• Product Managers: Identifying opportunities for Generative AI in new product features and services.
• IT Professionals and Developers: Needing a non-technical overview before diving into technical implementation.
• Data Analysts and Scientists: Understanding the broader context and applications of LLMs beyond traditional analytics.
• Consultants and Advisors: Providing strategic guidance on AI adoption to clients.
• Anyone curious about Generative AI and LLMs and their transformative potential.

Course Objectives

Upon successful completion of the "Introduction to Generative AI and LLMs (ChatGPT, Claude, etc.)" training course, participants will be able to:

• Define Generative AI and understand its core principles and capabilities.
• Explain how Large Language Models (LLMs) like ChatGPT and Claude are trained and function.
• Identify diverse applications of Generative AI and LLMs across various industries and business functions.
• Develop effective prompting strategies to maximize the utility of LLMs.
• Recognize the current limitations, challenges, and risks associated with Generative AI and LLMs.
• Understand key ethical considerations, biases, and responsible deployment practices for Generative AI.
• Evaluate potential opportunities for integrating Generative AI into their professional workflows.
• Formulate initial ideas for leveraging LLMs to solve business problems or enhance creativity.

 Course Modules

Module 1: Unveiling Generative AI - The Creative Machines

• What is Generative AI? Definition, core concepts, and distinction from discriminative AI.
• Evolution of AI leading to Generative models.
• Examples of Generative AI across modalities: Text, images, audio, video, code.
• Understanding the underlying principles: Data patterns, learning distributions.
• Impact of Generative AI on industries and job roles.

Module 2: Deep Dive into Large Language Models (LLMs)

• What are LLMs? Architecture overview (Transformers, attention mechanisms - conceptual).
• How LLMs are trained: Massive datasets, self-supervised learning, fine-tuning.
• Understanding pre-training and instruction tuning.
• Key capabilities of LLMs: Text generation, summarization, translation, Q&A, code generation.
• Differences and commonalities between popular LLMs (ChatGPT, Claude, Gemini, Llama, etc.).

Module 3: Interacting with LLMs - The Art of Prompt Engineering

• Fundamentals of prompt engineering: Clear instructions, context, persona.
• Techniques for effective prompting: Zero-shot, few-shot, chain-of-thought.
• Iterative prompting and refinement for desired outputs.
• Prompting for specific tasks: Summarization, idea generation, drafting emails, brainstorming.
• Practical exercises using an LLM playground (e.g., ChatGPT, Claude free tier).

Module 4: Applications of Generative AI & LLMs Across Business Functions

• Marketing & Content Creation: Automated content generation, ad copy, social media posts, personalization.
• Customer Service: Advanced chatbots, virtual assistants, sentiment analysis.
• Product Development: Idea generation, design iteration, code generation, testing.
• Research & Analysis: Information retrieval, summarization of complex documents, trend identification.
• Education & Training: Personalized learning, content creation, interactive tutors.

Module 5: Benefits, Limitations, and Risks of Generative AI

• Benefits: Increased efficiency, enhanced creativity, accelerated innovation, cost reduction.
• Limitations: Hallucinations, factual inaccuracies, lack of common sense, context window limits.
• Risks: Misinformation, misuse, job displacement, intellectual property concerns.
• Understanding "garbage in, garbage out" with Generative AI.
• The importance of human oversight and critical evaluation of AI outputs.

Module 6: Ethical Considerations and Responsible AI Development

• Bias in Generative AI: Sources (training data, human bias) and impact.
• Fairness, accountability, and transparency (FAT) in LLM deployment.
• Data privacy and security issues related to using and training LLMs.
• Intellectual property and copyright in generated content.
• Developing responsible AI guidelines and usage policies within organizations.

Module 7: Strategic Integration of Generative AI in Organizations

• Identifying high-impact Generative AI use cases specific to your organization.
• Assessing organizational readiness: Data, talent, infrastructure, culture.
• Developing a phased approach to AI adoption: Pilot projects to enterprise-wide integration.
• Building internal capabilities vs. leveraging external tools and vendors.
• Measuring the ROI and effectiveness of Generative AI initiatives.

Module 8: The Future Landscape of Generative AI

• Emerging trends in LLMs and Generative AI (e.g., multimodal AI, smaller models, open-source models).
• Impact on the future of work and skill sets.
• Navigating the regulatory landscape for AI.
• Continuous learning and staying updated in the rapidly evolving AI field.
• Action planning: Developing personal and organizational next steps for Generative AI adoption.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com