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Anthony Alicea

Cut through the hype. Build real confidence. Use AI effectively across any role.

“This was a very good use of time. Well worth it…Everybody needs to understand this course content in my opinion.” - Kenny M.

In today’s rapidly evolving work environment, understanding how to work with artificial intelligence isn’t optional, it’s essential. This course is designed to give employees at every level a clear, practical foundation in AI, with a special focus on Generative AI tools like ChatGPT, Copilot, Claude, and others transforming the modern workplace.

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Cut through the hype. Build real confidence. Use AI effectively across any role.

“This was a very good use of time. Well worth it…Everybody needs to understand this course content in my opinion.” - Kenny M.

In today’s rapidly evolving work environment, understanding how to work with artificial intelligence isn’t optional, it’s essential. This course is designed to give employees at every level a clear, practical foundation in AI, with a special focus on Generative AI tools like ChatGPT, Copilot, Claude, and others transforming the modern workplace.

You’ll learn what AI really is (and isn’t), how it functions behind the scenes, and how to use it effectively in your day-to-day tasks, from writing emails and summarizing reports to brainstorming ideas and improving customer communication. We’ll also cover ethical considerations, data privacy, and how to spot and avoid common AI pitfalls and mitigate AI risks to your organization.

Whether you’re in HR, marketing, operations, finance, manufacturing, logistics, healthcare, frontline support, getting back into the workforce in the age of AI, or leading from the C-suite, this course will help you build the skills and confidence to collaborate with AI tools responsibly and productively. No technical background required, just a willingness to learn and adapt.

Key topics include:

  • Fundamentals of Generative AI and how they really work

  • Real-world workplace applications

  • Writing effective AI prompts

  • Ethical and responsible AI use

  • Human-AI collaboration strategies

You'll get assignments to practice your AI skills, and you'll also get PDF references of best practices for integrating AI into you and your organization or business processes.

At the end you'll practice explaining what you've learned to others via Udemy's role play feature.

I've taught over 360,000 students on Udemy to code. I'm bringing my 25 years of technical education experience to you to help you understand how to use AI well. And you don't need any technical knowledge.

Prepare yourself—and your team—for the future of work. Enroll today and become truly AI literate.

Enroll now

What's inside

Learning objectives

  • Understand how generative ai and large language models actually work to avoid common misconceptions and use ai tools effectively in business settings.
  • Master ai prompting techniques and workflow integration for workplace productivity, including chatgpt and microsoft copilot for professional tasks.
  • Identify and mitigate ai risks including hallucinations, bias, privacy concerns, and over-reliance to ensure responsible ai use in corporate environments.
  • Develop strategic ai adoption frameworks for your role and build future-ready skills for ai-enhanced workplace collaboration and career advancement.
  • Apply practical ai literacy concepts to real business scenarios while maintaining human judgment for critical decisions and stakeholder communications.

Syllabus

LLMs and Inference
Introduction
AI Fundamentals For Core Literacy
Context and Prompting
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Review key points you've learned in this section.

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Activities

Coming soon We're preparing activities for AI Literacy for the Modern Workplace (Generative AI Upskill). These are activities you can do either before, during, or after a course.

Career center

Learners who complete AI Literacy for the Modern Workplace (Generative AI Upskill) will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Explores the potential impact of generative AI on society, discussing how it could be used to solve social problems and improve quality of life. It is written by Kai-Fu Lee, a leading researcher in the field.
Explores the relationship between generative AI and the creative process, discussing how generative AI can be used to enhance creativity. It is written by Margaret Boden, a leading researcher in the field.
Explores the potential impact of generative AI on the law, discussing how it could be used to automate legal processes and improve access to justice. It is written by Ryan Abbott, a leading researcher in the field.
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.
Explores the potential applications of generative AI in climate change, discussing how it could be used to model climate change and develop solutions. It is written by Andrew Ng, a leading researcher in the field.
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.
Explores the philosophical implications of generative AI, discussing how it challenges our understanding of mind and consciousness. It is written by Daniel C. Dennett, a leading philosopher in the field.
Explores the potential applications of generative AI in healthcare, discussing how it could be used to improve patient care and accelerate drug discovery. It is written by Eric Topol, a leading researcher in the field.
Explores the potential impact of generative AI on the economy, discussing how it could be used to create new jobs and improve productivity. It is written by two leading experts in the field, Erik Brynjolfsson and Andrew McAfee.
Explores the potential impact of LLMs on the future of AI and society. It discusses the ethical implications of LLMs and the challenges that need to be addressed.
This classic textbook covers a wide range of topics in speech and language processing, including LLMs. It provides a comprehensive overview of the field and valuable resource for anyone who wants to learn more about LLMs.
Provides a detailed overview of language models, including LLMs. It focuses on the theoretical foundations of language models and their applications in NLP.
Provides a comprehensive overview of deep learning, including LLMs. It valuable resource for anyone who wants to learn more about the theoretical foundations of LLMs.
Ferriss's book challenges the traditional 9-to-5 work model and offers strategies for achieving financial freedom and lifestyle design. While it may not be directly applicable to all workplace settings, it provides valuable insights into productivity, automation, and outsourcing.
Bailey's book comprehensive guide to productivity that covers a wide range of topics, including time management, attention management, and energy management. It offers practical tips and exercises to help readers improve their productivity and achieve their goals.
Explores the concept of deep work, a state of intense focus and concentration that allows for more productive and meaningful work. Newport provides strategies for creating a deep work environment and overcoming distractions, making it a valuable resource for anyone seeking to enhance their productivity.
Covey's book presents a set of principles and practices that can help individuals become more effective in all areas of their lives, including the workplace. It emphasizes the importance of personal responsibility, goal setting, and building strong relationships.

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