*Earlier on this was a monthly change-log. More recent changes will have specific dates.
If you have been browsing this course page and noticed that artificial intelligence is built into the learning experience, you may have questions. Maybe you have never used an AI chatbot before and are not sure you are tech-savvy enough to manage it. Maybe you have heard concerns about AI in education and are wondering whether a course that uses it is taking shortcuts. Or maybe you are simply curious about what AI-assisted learning actually looks like in practice.
All of those reactions are reasonable, and this page is here to answer them honestly.
This course uses AI as a learning tool in three specific, structured ways — not to deliver the course content for you, not to replace the knowledge you will build through the lessons, and not to do your thinking for you. The AI in this course plays the role of a knowledgeable, always-available study partner that reviews your work, helps you go deeper on topics you find interesting, gives you personalized feedback, and supports your understanding in ways that a static textbook simply cannot. Every AI-assisted assignment in this course is designed so that your own thinking and effort come first, and the AI responds to what you bring to it.
What follows is a complete, transparent walkthrough of exactly how AI is used in this course, what you will be asked to do, and what the experience will actually look like. If you finish reading this page and feel confident that you can handle it — and we think you will — then you have one less reason to hesitate.
Every AI tool used in this course is free to access and requires nothing more than creating a basic account with an email address. The interactions work like a text conversation — you type or paste a message, the AI responds, and you continue from there. If you have ever sent a text message or written an email, you already have all the technical skills you need. The rest you will pick up within the first few minutes of using it.
Free AI platforms you will use in this course include:
You are not locked into any one platform. The course will guide you on which features to use and when, and a full how-to guide is waiting for you in the introductory chapter the moment you enroll.
One thing worth knowing from the start: AI chatbots do not retain memory between separate conversations. Each time you open a new chat session, the AI starts fresh. Within a single session, however, it remembers everything you have discussed. This means you will want to complete each assignment in one sitting when possible, or save your conversation before closing the window. The course guide covers this in more detail once you are inside.
What they are: Case studies are scenario-based assignments built around realistic fictional characters dealing with real health challenges. You might read about a middle-aged man with elevated blood pressure and a sedentary lifestyle, or a woman who is considering purchasing a supplement based on something she saw on social media. The scenarios are drawn directly from the health and wellness topics covered in the course — chronic disease prevention, cardiovascular health, inflammation, diabetes, stress management, weight loss, and more.
What you do: After reading the scenario, you answer a series of questions using what you have learned in the course lessons. The questions are designed to help you apply and connect concepts rather than just recall them. You write your answers in your own words, at your own pace, before the AI ever gets involved.
Where the AI comes in: Once you have written your answers, you copy the entire assignment — including your responses and a set of built-in instructions — and paste it into the AI chatbot. Those instructions tell the AI to respond as a health educator reviewing your work. It will tell you what you got right, gently clarify anything that needs correction, fill in important gaps, and engage with your thinking in a way that helps you understand the material more deeply.
The AI does not grade you with a number or a letter. It has a conversation with you about your answers. And because the course runs asynchronously — meaning there is no set class time and you work on your own schedule — this gives you access to meaningful, personalized academic feedback at any hour of the day, any day of the week.
What makes it even more useful: If the AI's feedback on a particular question still leaves you confused, you can go back to your course lesson, copy the relevant section, paste it into the chat, and ask the AI to re-explain its feedback using the exact language and concepts from your course material. This is one of the most effective ways to use AI as a learning tool, and it is something you will be shown how to do from day one.
What they are: Investigation activities are deeper research assignments that go beyond the foundational content of the course and into the more complex, nuanced science behind health and wellness topics. These are not assignments where you are expected to already know the answers. They are designed to be genuine explorations — guided research experiences where you investigate questions that researchers themselves still debate.
Topics might include things like why the body fights weight loss through hormonal adaptation, whether popular diets like keto or intermittent fasting hold up under scientific scrutiny, how gut bacteria influence metabolism, or what the research really says about long-term weight maintenance. These are questions without simple answers, and that is precisely the point.
Where the AI comes in: For these assignments, you will use a feature available on several AI platforms called Deep Research mode. This is meaningfully different from a standard AI chat response, and understanding why matters.
When a regular AI chatbot answers a question, it is drawing entirely from its training data — a fixed snapshot of information it absorbed before it was released to the public. It cannot browse the internet or look anything up in real time. This creates a well-documented problem: when asked to provide academic citations, a standard AI chatbot may generate references that look completely convincing — complete with author names, journal titles, and publication years — but that do not actually exist. This phenomenon is called AI hallucination. It happens because the AI has been trained on thousands of real academic papers and has learned exactly how citations are formatted, so it can reconstruct that format convincingly even when the specific study is fabricated. The underlying information it presents is often genuinely grounded in real science — it may accurately reflect something that exists in the literature — but the specific citation it produces to support that claim may be entirely invented.
Deep Research mode solves this problem by giving the AI live access to the internet. Instead of working from memory, it actively searches the web, reads real published sources, and builds its response from what it actually finds during your session. The result is a detailed research report that is significantly more accurate, far less likely to contain fabricated references, and grounded in sources you can actually verify.
This is also why these assignments ask you to specifically request clickable links to every source cited in the report. In Deep Research mode, the AI can provide real URLs because it retrieved the information from a real place on the internet. Clicking those links is your most reliable way of confirming that a source is genuine. A link that works and takes you to a real study or journal article is a source you can trust. A link that is broken, goes somewhere unrelated, or is absent entirely is a red flag worth investigating before you rely on that information.
What the experience looks like: You choose a research question from a provided list — organized by difficulty level from beginner to advanced — and submit a structured prompt to the AI in Deep Research mode. The AI spends a few minutes actively searching and then produces a detailed report with citations. You save the report, check your links, read critically, and then continue the conversation with follow-up questions to go deeper on anything that interests you or needs clarification. The course provides a clear prompt template and example so you always know exactly what to write.
What they are: Engineered prompts are pre-written, carefully structured messages designed to get a specific and highly useful response from the AI. Rather than figuring out what to say on your own, you are given a template with clearly labeled fields. You fill in those fields with your personal information, copy the completed prompt, paste it into the chatbot, and receive a customized output tailored to your specific situation.
The clearest example in this course is the SMART goal template. SMART stands for Specific, Measurable, Achievable, Relevant, and Time-bound — a framework for building health and fitness goals that are realistic, trackable, and genuinely connected to your life. The template walks you through a series of questions about your goals, your current fitness level, your available time, any obstacles you are facing, and your timeline. The more honestly and specifically you fill in those fields, the more useful and personalized the AI's response will be.
What the experience looks like: After filling in the template, you copy everything and paste it into the chatbot. The AI reads your inputs and produces a fully structured SMART goal written for your situation. From there, you refine it through conversation — adjusting the ambition level, accounting for something you forgot to mention, asking for milestone check-ins, or rewriting it in language that actually sounds like you. The first response is a starting point, not a final answer, and the back-and-forth is where it becomes genuinely useful.
An important note: The AI-generated goal is informed by the principles you learn in the course, but it is not a substitute for the guidance of a qualified fitness professional or health counselor. For anyone managing a chronic condition, an injury, or other medical considerations, any significant health or exercise changes should be discussed with a qualified professional. The course is clear about this, and the template itself includes this reminder.
Because there is a lot of noise and skepticism around AI in education — much of it justified — it is worth being direct about what this course's use of AI is not.
The AI will not teach you the course content. The lessons, modules, and foundational knowledge in this course are built and delivered by the course instructor. The AI responds to what you bring to it from those lessons — it does not replace them.
The AI will not do your assignments for you in any meaningful sense. The case study assignments are specifically structured so that your answers come first and the AI responds second. The investigation activities require you to choose a direction, write a prompt, read critically, and engage with the findings. The engineered prompts require you to supply honest personal information that only you have. In each case, the quality of what the AI produces is directly proportional to the effort and thought you put in.
The AI is not perfect, and the course does not pretend otherwise. AI tools can make mistakes, oversimplify complex findings, or occasionally produce information that needs to be verified. One of the genuine skills this course helps you develop is the ability to engage with AI critically — knowing when to push back, when to verify, and when to ask for a clearer explanation. That skill is increasingly valuable far beyond this course.
If you are considering enrolling and have been wondering whether an AI-integrated course is right for you, here is the honest summary. This course uses AI in ways that are transparent, structured, and genuinely designed to support your learning. You will never be left wondering what you are supposed to do with it or why. Every AI-assisted assignment comes with clear instructions, and a complete how-to guide is one of the first things you will encounter when you begin the course.
The technology is free, accessible, and easier to use than most people expect. The assignments are designed for real people with real schedules — not tech enthusiasts or researchers. And the AI, used the way this course teaches you to use it, has the potential to make your learning experience more personalized, more engaging, and more meaningful than a traditional asynchronous course format alone could offer.
If you have questions about anything on this page before enrolling, feel free to reach out. And if you are ready to get started, everything you need to hit the ground running is waiting for you inside.
All AI tools referenced in this course are available on free tiers and require no paid subscriptions to complete any assignment.