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Scott Duffy • 1.000.000+ Students and Software Architect

Includes brand new content for GPT-5 and a re-record of many lessons.

Over 100 million people have tried ChatGPT since it first debuted in November 2022.

And there's been lots of hype about it. Many famous industry leaders are saying it's the next big thing in computing. And that GPT-based (and other Generative Pre-trained Transformers) will revolutionize business.

Let's cut through the hype. This course is entirely hype-free. We're only talking about what it can do today, and giving real, practical examples of ChatGPT, Google Gemini, DeepSeek, Qwen, Claude, CoPilot and the others in a business context.

Read more

Includes brand new content for GPT-5 and a re-record of many lessons.

Over 100 million people have tried ChatGPT since it first debuted in November 2022.

And there's been lots of hype about it. Many famous industry leaders are saying it's the next big thing in computing. And that GPT-based (and other Generative Pre-trained Transformers) will revolutionize business.

Let's cut through the hype. This course is entirely hype-free. We're only talking about what it can do today, and giving real, practical examples of ChatGPT, Google Gemini, DeepSeek, Qwen, Claude, CoPilot and the others in a business context.

In a recent survey, over 40% of employees admit to using ChatGPT to help them with their work. And over 60% have kept that a secret from their boss. ChatGPT today is having a very real impact on the way many people do their jobs, and it's time we talk about that.

There's no shame here. It's a tool. If it can help you do your job a bit better, let's figure out how.

This course covers the following topics:

  • The basics of ChatGPT – what it is, how it works, what it can and cannot do

  • Other large language models such as Gemini, Deepseek, Qwen, CoPilot and Claude

  • How you can apply it to your business in various ways

  • Best practices

  • Ethics and considerations

  • Azure Open AI Services

  • Future outlook

I intend to keep this course updated. This is a fast-moving field, and new features are being deployed monthly. So I cannot claim that this course will be updated every month.  But as new things are rolled out, I'll do a video about them and add them to this course.

Also, as new competitors make their way into the public use, I'll update the lessons as well. I've already uploaded a video to demonstrate the new Bard Gemini from Google. There are even open-source models starting to become available. Even Amazon is going to add this functionality to Alexa with Alexa TM. It's going to be an exciting couple of years.

Buy this course on ChatGPT, Gemini, Deepseek, Qwen, CoPilot and Claude today. You'll have Udemy's 30-day money-back guarantee if you don't like it for any reason. There's no risk to you.

Plus you'll continue to get my ongoing insights into the AI/ML space with regular educational announcements in the course and updated videos. You'll have lifetime access to the course for that.

Enroll now

What's inside

Learning objectives

  • How chatgpt can be used to help a business
  • Best practices for using chatgpt
  • High-level overview of how chatgpt works
  • What chatgpt can do and what it cannot currently do
  • Other llms such as bard gemini

Syllabus

Introduction to the Course
Welcome!
What is ChatGPT?
Udemy Player Tips
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Career center

Learners who complete ChatGPT-5 and the New Wave of ML Language Models will develop knowledge and skills that may be useful to these careers:
AI Integration Specialist
An AI Integration Specialist helps organizations successfully incorporate artificial intelligence technologies, including large language models, into existing business processes and systems. This role often involves identifying opportunities for AI application, evaluating different models like ChatGPT, Google Gemini, and Claude, and ensuring their ethical and effective deployment. This course provides a practical understanding of various LLMs, their capabilities, and ethical considerations. It directly covers "How you can apply it to your business in various ways" and "Best practices," which are crucial for an AI Integration Specialist to guide successful adoption and maximize impact while mitigating risks.
Prompt Engineer
A Prompt Engineer specializes in designing and refining inputs for large language models to elicit optimal, desired outputs. This evolving role requires a deep understanding of how LLMs interpret queries and generate responses, often working to improve efficiency and accuracy for various business applications. This course, emphasizing "Best practices to using ChatGPT in business" and live demos of multiple models like Deepseek V3 and Claude 3.5 Sonnet, directly prepares learners by showcasing practical application and customization. Understanding the capabilities and limitations of "ChatGPT and the New Wave of ML Language Models" is fundamental for crafting effective prompts and achieving specific business objectives.
Digital Transformation Consultant
A Digital Transformation Consultant advises organizations on leveraging new technologies to fundamentally change how they operate and deliver value. This includes guiding businesses through the adoption of innovative tools like large language models to enhance efficiency, customer experience, and competitive advantage. The course offers a vital, "hype-free" perspective on "ChatGPT-5 and the New Wave of ML Language Models," focusing on "real, practical examples" in a business context. Knowledge of "How ChatGPT can be used to help a business" and the "Future outlook" of LLMs, as covered in this course, is essential for a consultant to provide informed, strategic recommendations for digital shifts.
Content Strategist
A Content Strategist plans and oversees the creation, delivery, and governance of useful and usable content. In today's landscape, this often involves leveraging tools like large language models to streamline content generation, improve personalization, and optimize distribution across various platforms. This course provides practical insights into how "ChatGPT and the New Wave of ML Language Models" can be applied in business, covering elements like "Customize ChatGPT" and plugin demonstrations. Understanding "best practices" and the capabilities of various LLMs empowers a Content Strategist to innovatively scale content operations and maintain brand voice while adhering to ethical guidelines.
Marketing Specialist
A Marketing Specialist develops and implements strategies to promote products or services, reach target audiences, and drive sales. This often involves creating compelling campaigns, analyzing market trends, and engaging with customers. The course's practical focus on "How ChatGPT can be used to help a business" and "real, practical examples of ChatGPT, Google Gemini, ... in a business context" directly equips a Marketing Specialist. They can learn to leverage these advanced language models for generating marketing copy, personalizing customer communications, or automating certain outreach tasks, all while understanding "ethical considerations" and "best practices" for responsible application in marketing.
Product Manager
A Product Manager guides the development and strategy of a product, from conception to launch and beyond. This role involves understanding market needs, defining product features, and working closely with engineering teams. For products incorporating AI, knowledge of current capabilities and limitations is key. This course, covering "ChatGPT-5 and the New Wave of ML Language Models," their "business uses," and "future outlook," helps a Product Manager identify opportunities for integrating LLM functionalities into new or existing products. Understanding "what ChatGPT can do and what it cannot currently do" is crucial for setting realistic product goals and managing stakeholder expectations.
Technical Writer
A Technical Writer creates clear, concise, and accurate documentation, such as user manuals, training materials, and API guides, explaining complex technical information to various audiences. Large language models can significantly assist in drafting, editing, and localizing content, improving efficiency and consistency. The course on "ChatGPT-5 and the New Wave of ML Language Models" offers practical knowledge relevant to a Technical Writer, particularly its focus on "How you can use ChatGPT in business" and "best practices." Understanding how to leverage tools like ChatGPT, Gemini, and Claude for content generation and refinement, along with ethical considerations, can greatly enhance productivity and the quality of documentation.
Customer Success Manager
A Customer Success Manager builds and maintains strong relationships with clients, ensuring they achieve their desired outcomes using a product or service. This often involves proactive engagement, problem-solving, and identifying opportunities for client growth. The course's practical insights into "ChatGPT and the New Wave of ML Language Models" can equip a Customer Success Manager with tools to enhance customer interaction. They may use LLMs for drafting personalized communications, summarizing client feedback, or even developing internal resources more efficiently. Understanding the capabilities and "best practices" enables them to leverage these technologies to deliver better support and foster stronger client loyalty.
Learning and Development Specialist
A Learning and Development Specialist designs, delivers, and evaluates training programs and resources to enhance employees' skills and knowledge. In a rapidly evolving technological landscape, leveraging innovative tools for content creation and personalized learning is becoming vital. This course provides a comprehensive overview of "ChatGPT-5 and the New Wave of ML Language Models," including their "business uses" and "best practices." A Learning and Development Specialist may find it useful for generating training content, creating interactive learning modules, or even understanding how to train employees on using these new AI tools responsibly and effectively within their roles.
Governance Risk and Compliance Analyst
A Governance Risk and Compliance Analyst identifies, assesses, and mitigates risks related to an organization's operations, ensuring adherence to regulatory requirements and internal policies. With the increasing adoption of AI, ethical and compliance considerations surrounding large language models are paramount. This course directly addresses "Ethical Considerations of AI / ML" and "AI and SuperIntelligence Concerns for Business," providing critical knowledge for a Governance Risk and Compliance Analyst. Understanding the capabilities and limitations of "ChatGPT and the New Wave of ML Language Models" helps them develop appropriate policies, assess data privacy risks, and ensure responsible AI deployment within the organization.
Business Analyst
A Business Analyst bridges the gap between business needs and technological solutions, identifying problems, analyzing requirements, and recommending improvements. This role often involves detailed process mapping, data analysis, and stakeholder communication. The course on "ChatGPT-5 and the New Wave of ML Language Models," with its focus on "How ChatGPT can be used to help a business" and "real, practical examples," may be helpful for a Business Analyst. They can assess where LLMs can automate tasks, enhance data extraction, or improve communication workflows, leveraging tools like Google Gemini and Claude to drive operational efficiencies and inform strategic decisions.
Knowledge Management Specialist
A Knowledge Management Specialist designs and implements strategies to capture, store, share, and effectively use an organization's intellectual assets. This role aims to improve organizational learning and decision-making through accessible information. The practical application of "ChatGPT-5 and the New Wave of ML Language Models" discussed in this course, alongside "best practices," may be useful for a Knowledge Management Specialist. They could explore how LLMs, including custom GPTs and assistants, can enhance internal search capabilities, automate summaries of vast documentation, or even facilitate the creation of dynamic knowledge bases, improving information retrieval and dissemination within the enterprise.
Technical Support Specialist
A Technical Support Specialist assists users with technical issues related to software, hardware, or systems, providing troubleshooting and guidance. The emergence of large language models offers new avenues for improving support efficiency and agent enablement. This course, covering "ChatGPT and the New Wave of ML Language Models" and their "business uses," may be helpful for a Technical Support Specialist. They could learn how to leverage these tools for quickly finding solutions, drafting responses to common queries, or summarizing complex issues for escalation, ultimately enhancing response times and overall customer satisfaction while understanding AI's current limitations.
Educator
An Educator designs and delivers instructional content, fostering learning and critical thinking in students across various subjects and age groups. With the rapid integration of AI tools into daily life, understanding their capabilities, limitations, and ethical implications is crucial for preparing learners for the future. The course on "ChatGPT-5 and the New Wave of ML Language Models," discussing "AI and SuperIntelligence Concerns for Business" and "Ethical Considerations of AI / ML," may be useful for an Educator. It helps them understand how these tools impact learning processes, address academic integrity, and teach responsible AI usage.
Journalist
A Journalist researches, writes, and reports on news and current events for various media outlets, aiming to inform, educate, or entertain the public. The increasing role of artificial intelligence in content creation, data analysis, and media consumption makes understanding large language models highly relevant. This course, offering a "hype-free" look at "ChatGPT-5 and the New Wave of ML Language Models," their "business uses," and "ethical considerations," may be helpful for a Journalist. It can equip them to report accurately on AI's impact, understand its potential for research and content generation, and navigate the complex ethical landscape surrounding its use in media.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in ChatGPT-5 and the New Wave of ML Language Models.
Written by the founders of OpenAI, this book provides a glimpse into the company's history, goals, and vision for the future of AI.
Provides a comprehensive guide to integrating Microsoft 365 Copilot into daily workflows to enhance productivity. It covers AI fundamentals, how Copilot works with Microsoft 365 apps, and practical implementation strategies. It's suitable for both beginners and experienced users looking for a hands-on roadmap.
Given the prevalence of prompt engineering courses related to Gemini, this book is highly relevant. It delves into the techniques and principles for effectively interacting with generative AI models to achieve desired outputs. It's a practical guide for anyone looking to utilize models like Gemini effectively. This recent publication.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Takes a hands-on approach to understanding LLMs by guiding the reader through building one from scratch. It's highly relevant for gaining a deep technical understanding of the components and processes involved in creating models like Gemini. It's suitable for those with a programming background looking for in-depth knowledge.
Focuses on practical prompt engineering techniques and patterns for interacting with large language models. It goes beyond basic prompting and explores more advanced strategies for getting reliable and customized outputs from models like Gemini. It's a hands-on guide for improving prompting skills.
Provides a practical approach to understanding and working with large language models. It covers key concepts and techniques relevant to models like Gemini, focusing on practical implementation. It's suitable for those who want to gain hands-on experience with LLMs.
A step-by-step guide for professionals to improve productivity using Microsoft 365 Copilot in core applications like Excel, Word, PowerPoint, and Teams. It covers AI fundamentals, technical setup, prompt engineering, and data security. is valuable as a practical reference tool for daily use.
Transformers are the architecture behind models like Gemini. provides a practical introduction to using the Hugging Face Transformers library, which is widely used for building and working with transformer models. It's highly relevant for understanding the technology enabling Gemini and is useful for hands-on learning. The revised edition recent publication.
Offers a thorough walkthrough of Copilot for Microsoft 365, including an introduction to generative AI, large language models, and responsible AI. It details how to use Copilot in various Microsoft 365 apps to increase productivity. It is particularly useful for beginners and provides clear, step-by-step examples.
Focuses on the practical aspects of building applications using large foundation models, which include models like Gemini. It covers the engineering challenges and best practices for deploying and utilizing these models in real-world scenarios. It's particularly useful for developers and engineers.
This comprehensive guide provides a thorough introduction to OpenAI's history, technology, and applications. Suitable for beginners and experienced practitioners alike.
Written by a co-founder of DeepMind and Inflection AI, this book discusses the transformative potential of AI and other frontier technologies, as well as the urgent need to govern them effectively. It offers a contemporary perspective on the challenges and opportunities presented by advanced AI like Gemini.
Offers a comprehensive overview of LLMs, covering their theoretical foundations, practical applications, and future directions.
A straightforward guide to using Microsoft Copilot integrated with Windows and Microsoft 365 apps. It teaches how to write effective prompts, enhance output, and apply Copilot functions to various tasks. is an excellent starting point for beginners and home users.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Provides a comprehensive overview of business applications in the cloud, covering concepts, technologies, and practices. It valuable resource for students, researchers, and practitioners who want to learn more about this rapidly growing field.
Written by a leading AI researcher, this book addresses the fundamental challenge of ensuring that AI systems are beneficial to humanity and remain under human control. It's a crucial read for understanding the long-term safety considerations associated with increasingly capable AI, including models like Gemini.
Provides a detailed exploration of the Transformer architecture and its applications in machine learning, including NLP. It's a valuable resource for those seeking a deeper technical understanding of the core technology behind models like Gemini. It covers a wide range of transformer architectures.
This manual provides a user-friendly guide to understanding and utilizing Microsoft Copilot AI within the Office 365 environment on Windows. It focuses on the integration and capabilities of Copilot, making it a practical resource for users looking to leverage AI in their daily Office tasks.
Offers a critical perspective on the broader societal and environmental implications of AI, moving beyond the technical aspects. It examines the power structures, political influences, and material costs associated with AI development and deployment, providing important context for the impact of large-scale AI models like Gemini.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Offers a step-by-step approach to learning Microsoft Copilot Pro for enhanced creativity and productivity. It focuses on writing effective prompts and getting started with the necessary skills. It practical guide for users who want to maximize their use of Copilot Pro.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
This concise book offers a high-level overview of language models, covering the fundamental concepts without excessive jargon. It's a good starting point for those who want to quickly grasp the core ideas behind LLMs like Gemini before diving into more technical details. It provides a good balance of theory and intuition.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Offers a focused examination of the ethical considerations surrounding artificial intelligence. It delves into various ethical frameworks and their application to AI development and deployment, providing a deeper understanding of the ethical landscape relevant to advanced models like Gemini.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
Explores the applications of artificial intelligence (AI) in various business settings. It provides real-world examples and case studies, making it a valuable resource for business leaders and practitioners who want to learn how to use AI to improve their operations.
This widely respected textbook offering a deep dive into the fundamentals of natural language processing and computational linguistics. It provides essential background knowledge for understanding how models like Gemini process and generate human language. It's a comprehensive reference for students and researchers.
Explores how ethical considerations can be integrated into the design of algorithms. It provides insights into building AI systems that are fair, accountable, and transparent, which are important aspects of responsible AI development for models such as Gemini.
Is aimed at a business audience and provides an overview of LLMs and their potential applications and challenges in a business context. It's relevant for understanding the impact and strategic considerations of adopting technologies like Gemini in organizations.
This guide explores Microsoft Copilot AI, its integration with Microsoft 365 and Azure, and its application in building online businesses. It provides insights into leveraging AI for productivity and gaining a competitive edge. It's suitable for those interested in the business applications of Copilot.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
This guide offers quick tips and tricks for prompt engineering across different generative AI models, including text and image generation models. It's a practical resource for users who want to improve their immediate results with various AI tools. It's suitable for all levels looking for actionable advice.
Provides practical guidance on applying machine learning techniques to text data using Python. While not solely focused on LLMs, it covers essential skills and concepts in natural language processing that are foundational for working with models like Gemini in applications. It's a useful resource for practitioners.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
This handbook is geared towards engineers working with LLMs, covering the process from concept to production. It provides a deeper technical understanding of integrating and managing LLMs, which is relevant for prompt engineers working in a development context. It is best suited for graduate students and working professionals.
Explores prompt engineering within the broader context of generative AI and touches upon ethical considerations. It's relevant for all levels, providing a balanced view of the technical aspects and the societal impact of generative AI. It's useful for gaining a broader understanding and considering the responsible use of AI.
While not exclusively about AI, this book provides a critical analysis of how technology companies harvest and utilize vast amounts of personal data. This context is relevant to understanding the data requirements and potential privacy implications of training and using large language models like Gemini.
This comprehensive handbook includes a chapter on LLMs, providing a thorough overview of their history, evolution, and applications.
Offers practical insights into working with large language models, covering concepts like prompt engineering and retrieval-augmented generation. Understanding LLMs is fundamental to effectively using Microsoft Copilot. It good resource for those wanting to go beyond basic Copilot usage.
Offers a comprehensive overview of ChatGPT and generative AI, with practical examples and prompts. It includes coverage of essential AI tools like Microsoft Copilot. It's a good resource for gaining a broad understanding of the generative AI landscape that includes Copilot.
Covers the broader field of AI engineering with a focus on foundation models, which include the LLMs used in prompt engineering. It's relevant for professionals and graduate students interested in the engineering aspects of building AI applications. It provides context on how prompt engineering fits into larger AI systems.

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