--- title: "Vibe Coding and AI Agents Classes in Canada: Teens and Adults" description: "Vibe coding and AI agents for Canadian teens and adults: which tools each age may use, what agents can and cannot do, and a working agent on Ottawa parks data." canonical: https://learn.modernagecoders.com/vibe-coding-and-ai-agents-classes-in-canada source: src/pages/vibe-coding-and-ai-agents-classes-in-canada.html --- > Vibe coding and AI agents for Canadian teens and adults: which tools each age may use, what agents can and cannot do, and a working agent on Ottawa parks data. In short Vibe coding and AI agents classes in Canada teach teenagers and adults to build software with AI help, then read, test and correct what the AI produced, and to design agents whose answers can be checked. Teens and adults learn separately, within each tool's age rules. Modern Age Coders teaches them live online, in a batch or one to one. Separate courses by age ## Three courses: one for teens, two for adults Teenagers and adults may legally use different tools, so they learn in different courses. [![Vibe Coding for Teens course thumbnail](/images/vibe-coding-teens.webp) VAAC / 01 Vibe Coding for Teens Ages 13 to 17. Twelve weeks of Python, web development and AI projects, with six to eight hours of work a week. Teens use only tools whose terms allow their age. Open the syllabus →](/courses/vibe-coding-for-teens-python-web-ai-projects-course)[![Vibe Coding for College course thumbnail](/images/vibe-coding-college.webp) VAAC / 02 Vibe Coding for College Ages 18 and up. Twelve weeks across full stack web, data structures with machine learning, and a capstone, building with AI assistance. Open the syllabus →](/courses/vibe-coding-for-college-fullstack-ai-dsa-career-course)[![Codex & Claude Code course thumbnail](/images/codex-claude-code-adults.webp) VAAC / 03 Codex and Claude Code for professionals Adults only. Twenty-four classes over twelve weeks on AI coding agents: foundations, daily workflow, connecting tools, cloud use, then securing and shipping. Open the syllabus →](/courses/codex-and-claude-code-ai-coding-agents-masterclass-for-adults-professionals) What the words mean ## Vibe coding, agents and MCP, defined by their sources These terms are used loosely in advertising. Here they are as the dictionary, the agent builders and the protocol's own site define them, read on 22 October 2026. | Term | Source | What the source says | | --- | --- | --- | | Vibe coding | Collins Dictionary, Word of the Year 2025 (November 6, 2025) | "Coined by AI pioneer Andrej Karpathy, vibe coding refers to the use of artificial intelligence prompted by natural language to write computer code." | | Workflow | Anthropic, Building effective agents (Dec 19, 2024) | "Workflows are systems where LLMs and tools are orchestrated through predefined code paths." | | Agent | The same article | Agents "are systems where LLMs dynamically direct their own processes and tool usage". | | Agentic coding tool | Claude Code documentation | "Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools." | | MCP | modelcontextprotocol.io | "MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems." | ### The difference that matters in practice In a workflow, a programmer decides the steps and the model fills in parts of them. In an agent, the model decides the steps. That one change explains most of what goes right and wrong: an agent can solve a problem nobody scripted, and it can also wander, repeat itself, or act on a mistaken guess. Vibe coding sits at the human end of the same scale. A person describes the result, the AI writes code, and the person decides whether to keep it. The skill that separates a good vibe coder from a bad one is reading what came back. ### What we teach first Before any agent, learners write the tools themselves: small functions with clear inputs, outputs and failure messages. An agent is only as reliable as the tools it calls and the checks wrapped around its answer. Anthropic's own advice points the same way: "we recommend finding the simplest solution possible, and only increasing complexity when needed." Many problems never need an agent at all. Sources: [Collins, Word of the Year 2025](https://blog.collinsdictionary.com/language-lovers/collins-word-of-the-year-2025-ai-meets-authenticity-as-society-shifts/); [Anthropic, Building effective agents](https://www.anthropic.com/research/building-effective-agents); [Claude Code overview](https://code.claude.com/docs/en/overview); [Model Context Protocol](https://modelcontextprotocol.io/). All read 22 October 2026. We are not connected with any of these organisations. Who may use what ## Which AI coding tools a teen may use, and which are adults only This is where many vibe coding courses go wrong: they hand every student the same tools. The companies' terms do not allow that. Here is what each says, and how our two age groups follow it. | Tool | What the terms say | Teens 13 to 17 | Adults 18+ | | --- | --- | --- | --- | | Claude, including Claude Code (Anthropic) | "You must be at least 18 years old or the minimum age required to consent to use the Services in your location, whichever is higher." (effective Oct 8, 2025) | Not allowed; never recommended | Allowed | | ChatGPT and other OpenAI services | "You must be at least 13 years old"; "If you are under 18 you must have your parent or legal guardian's permission to use the Services." (effective January 1, 2026) | Only with a parent's or guardian's permission | Allowed | | GitHub and GitHub Copilot | GitHub: "A User must be at least 13 years of age." Copilot Student is "Available for free to verified students, teachers, and open-source maintainers". | Allowed from 13; free if verified as a student | Allowed | | The Canadian Computing Competition | The CCC rules forbid generative AI and say "AI-based tools within an IDE cannot be used." | Practise without assistants before 17 February 2027 | Not applicable | ### How our teen classes work Teenagers build with tools their age allows, chiefly GitHub Copilot for verified students and, where a parent has given permission, OpenAI's tools. No teen class uses Claude or Claude Code, and no page of ours suggests them to anyone under 18. For a teen, the point of vibe coding is not speed. It is learning to judge code: why the suggested function works, where it breaks, and what the AI did not consider. ### How our adult classes work Adults work with agentic tools such as Claude Code and OpenAI's Codex, on real repositories, with version control so that every change an agent makes can be inspected and undone. The adult course ends with a phase on building, securing and shipping, because reviewing and testing agent output is where the real work is. Sources: [Anthropic Consumer Terms](https://www.anthropic.com/legal/consumer-terms); [OpenAI Terms of Use](https://openai.com/policies/terms-of-use/); [GitHub Terms of Service](https://docs.github.com/en/site-policy/github-terms/github-terms-of-service); [GitHub Education](https://github.com/education/students); [CCC rules](https://cccgrader.com/rules.pdf). All read 22 October 2026; terms change, so check before signing up. Honest limits ## What AI agents can do, and what they cannot Agents are sold as autonomous workers. The people who build them are more careful. This table combines Anthropic's published guidance with what our own small agent below showed. | Question | What the evidence says | | --- | --- | | Can an agent handle a task nobody scripted? | Yes. Anthropic: agents suit cases where "flexibility and model-driven decision-making are needed at scale". | | Is an agent always the right choice? | No. Anthropic recommends "finding the simplest solution possible, and only increasing complexity when needed." | | What does autonomy cost? | Anthropic: "higher costs, and the potential for compounding errors." | | How should agents be tested? | Anthropic: "We recommend extensive testing in sandboxed environments, along with the appropriate guardrails." | | Can an agent state something its tools never returned? | Yes. Our stand-in plan below names a park, "Maple Leaf Dog Run", that is not in the city's file. Only the check catches it. | | Does an agent understand data it was not told about? | No. The Ottawa file codes dog rules as 0 to 4. Nothing in a code says that 0 means off leash and 4 means not designated; the agent knows only what its tool description says. | ### Good at Repetitive changes across many files, first drafts of tests, exploring an unfamiliar codebase, and joining tools a person has already made reliable. ### Weak at Knowing when it is wrong, respecting a rule nobody wrote down, and stopping when the task is unclear. It will often produce a confident answer instead. ### Needs from you Clear tools, a test you can run, version control to undo its changes, and a check that compares its answer with what its tools actually returned. A real agent example ## An Ottawa parks agent whose answers are checked The City of Ottawa publishes its parks and greenspace under a licence that allows commercial reuse, including a coded rule for dogs in each park. We built a small agent loop around it to show every part an agent needs: tools, a loop that runs them, and a check on the final answer. The code and every number are ours, run on the city's file downloaded on 22 October 2026. **The question an agent is asked:** "Which parks in Kanata North let my dog off leash?" The file has 1,378 rows across 24 wards, with columns including NAME, WARD_NAME, DOG_DESIGNATION and DOG_DESIGNATION_DETAILS, the city's own wording for each park's rule. | Code | The city's wording, most common form | Parks | | --- | --- | --- | | 0 | "Dogs may be off leash." (with a line about the handler's control) | 175 | | 1 | "Dogs are allowed but must be on leash at all times." | 356 | | 2 | Area-specific, for example off leash in a fenced area and on leash elsewhere | 69 | | 3 | "Dogs are not allowed in the park." | 119 | | 4 | "The park has not been designated." (then on-leash wording) | 631 | | Blank | No code given | 28 | ***Our agent loop · park_agent.py**python* ``` # Our park agent: a tool loop with a checked answer (Modern Age Coders, written for this page) import csv PARKS = list(csv.DictReader(open("ottawa-parks.csv", encoding="utf-8-sig"))) DOG_CODES = {"off_leash": "0", "on_leash": "1", "mixed": "2", "no_dogs": "3", "not_designated": "4"} def find_parks(ward, dog_rule): """Tool 1: park names in a ward with a given dog rule.""" code = DOG_CODES[dog_rule] return [p["NAME"] for p in PARKS if p["WARD_NAME"] == ward and p["DOG_DESIGNATION"] == code] def park_details(name): """Tool 2: address and the city's own dog wording for one park.""" for p in PARKS: if p["NAME"] == name: return {"address": p["ADDRESS"], "dogs": p["DOG_DESIGNATION_DETAILS"]} return {"error": "no park called " + name} TOOLS = {"find_parks": find_parks, "park_details": park_details} def run(model_steps): """The loop: run each tool call the model asks for, keep every result, check the final answer.""" seen = set() for step in model_steps: if step["type"] == "tool": result = TOOLS[step["name"]](**step["args"]) names = result if isinstance(result, list) else [step["args"].get("name", "")] seen.update(names) print("tool", step["name"], "->", len(names) if isinstance(result, list) else result.get("address", result)) else: unsupported = [n for n in step["parks"] if n not in seen] print("answer:", step["parks"][:3], "..." if len(step["parks"]) > 3 else "") print("check:", "OK" if not unsupported else "REJECTED, no tool result for " + ", ".join(unsupported)) # Stand-in for a model: a fixed plan, so the loop can be tested without any AI service. found = find_parks("Kanata North", "off_leash") honest = [{"type": "tool", "name": "find_parks", "args": {"ward": "Kanata North", "dog_rule": "off_leash"}}, {"type": "tool", "name": "park_details", "args": {"name": found[0]}}, {"type": "answer", "parks": found}] invented = honest[:1] + [{"type": "answer", "parks": found[:2] + ["Maple Leaf Dog Run"]}] run(honest) run(invented) ``` ***Output on the city's file**text* ``` tool find_parks -> 11 tool park_details -> 5599 Campeau Drive, Kanata answer: ['Kanata Town Centre Stormwater Pond', 'Judy Laughton Park', 'Village Green Stormwater Facility'] ... check: OK tool find_parks -> 11 answer: ['Kanata Town Centre Stormwater Pond', 'Judy Laughton Park', 'Maple Leaf Dog Run'] check: REJECTED, no tool result for Maple Leaf Dog Run ``` Kanata North has 95 parks; 11 carry code 0. The honest plan passes the check. The plan that adds a park its tools never returned is rejected. ### Why the stand-in, and what replaces it The model is replaced here by a fixed plan, clearly marked, so the loop and its check can be run and tested on any laptop without an AI service. That is how we test agent code in class: the plan that a model would produce is written out by hand first, including a bad one. In the adult course the fixed plan is swapped for calls to a model through its API, and nothing else changes: the same tools, the same loop, the same check. For teens, the same exercise is done with tools their age allows. ### Three weaknesses we leave in on purpose park_details returns the first park with a matching name, but 16 names appear more than once in the file. A better tool takes the PARK_ID instead. Learners find this themselves by asking for a name that repeats. The check only proves each named park came from a tool; it cannot prove the agent asked the right question. And the meaning of codes 0 to 4 lives in our DOG_CODES table, which we wrote by reading the city's text. If the city changed its codes, the agent would be confidently wrong. Each of these is a class discussion. Data: [City of Ottawa open data](https://hub.arcgis.com/datasets/cfb079e407494c33b038e86c7e05288e_24), Parks and Greenspace. Contains information licensed under the Open Government Licence, City of Ottawa. The licence allows use "including for commercial purposes". Code, tallies and the stand-in plan are ours; the City of Ottawa does not endorse this page. In Canadian classrooms ## Where AI-assisted coding already appears in Canada Canadian school documents have started to name AI tools and to ask students to judge them. These are the lines we read on 22 October 2026. | Where | What it says | What it means for a learner | | --- | --- | --- | | New Brunswick, Computer Science 110 | Students code "using coding environments or AI-assisted debugging tools" | A provincial course already expects AI help in debugging | | Ontario, ICD2O (2023) | Students investigate innovations "including automation and artificial intelligence, and assess their benefits and limitations" | Judging AI is part of the course, not just using it | | Canadian Computing Competition rules | Generative AI forbidden; "AI-based tools within an IDE cannot be used." | Contest skill has to be the student's own | ### For teens in school These documents pull in two directions, and both are right. A teen should be able to use an allowed assistant to find a bug, and should also be able to write the program with no assistant at all, because a contest, a test or an interview will ask for exactly that. Our teen classes practise both, in the same week. ### For adults at work For adults the question is different: how to use agents without losing control of the code. Version control, small reviewable changes and tests that run before anything is merged are the habits that make agents safe to use on real work. We make no job or salary promises. What we teach is the judgement that keeps AI-written code from becoming someone else's problem. Thinking, not copying ## Why we teach vibe coding as a reading skill Our promise is the same in every country: learners are taught to think a problem through and solve it, not to copy an answer or an AI's output. With vibe coding that promise is tested hardest, so we make it concrete. ### Predict before accepting Before running AI-written code, the learner says what it should do and where it might fail. Accepting code you could not predict is how bugs reach users. ### Explain every line Anything a learner submits, they can explain line by line. A line they cannot explain is rewritten by them, by hand. ### Write the check first For agents, the test or the answer check is written before the agent runs, exactly as in the Ottawa example. The Collins definition describes vibe coding as "telling a machine what you want rather than painstakingly coding it yourself". Collins adds: "It's programming by vibes, not variables." That is a fair description of the first step. Our classes are about every step after it, where the variables come back. Six zones, one plan ## Class times for teens and working adults across Canada Teens fit classes around school; adults around work and family. Every class is booked in the learner's own zone, and only the eastern provinces change clocks this year. | Where | Until 14 March 2027 | From 14 March 2027 | | --- | --- | --- | | British Columbia (most) and Yukon | UTC-7 | UTC-7 | | Alberta and Saskatchewan | UTC-6 | UTC-6 | | Manitoba | UTC-5 | UTC-5 | | Ontario and Quebec | UTC-5 (from 1 November 2026) | UTC-4 | | Maritime provinces | UTC-4 (from 1 November 2026) | UTC-3 | | Newfoundland | UTC-3:30 (from 1 November 2026) | UTC-2:30 | Adults in our courses often choose weekday evenings or weekend mornings. Our teachers are in India, where a Canadian weekend morning falls in the evening, so those slots are easy to arrange in every zone. Four levels ## From prompting to building agents you can trust Our levels for placing a teen or adult in the first class. | Level | What the learner can do | | --- | --- | | 1. Prompts | Gets working code from an assistant for a small task | | 2. Reads | Explains AI-written code line by line and fixes its mistakes | | 3. Builds tools | Writes functions with clear inputs, outputs and errors for an agent to call | | 4. Checks agents | Wraps an agent in tests and answer checks, and knows when not to use one | ### For parents of teens Level 2 is the one that matters most at school age. A teen who can read code can learn anything that follows. Teens reach level 3 in our course with tools their age allows; agentic tools for adults come later, at 18. ### For adults Most self-taught vibe coders stop at level 1. Levels 2 and 4 are where AI-written code becomes something you can put your name to. Keep every agent change in version control. If you cannot undo it, you cannot trust it. Related courses ## Nine more courses around AI and building Live, with one regular teacher, in a batch or one to one. Teen and adult courses are kept separate. I ### Teens Ages 13 to 18 VAAC / TEEN / 01 #### Python for teens The language most AI tools write. [Open the syllabus](/courses/python-complete-masterclass-teens) VAAC / TEEN / 02 #### Git and GitHub for teens Undo anything an assistant changes. [Open the syllabus](/courses/git-github-version-control-course-for-teens) VAAC / TEEN / 03 #### AI and machine learning for teens How the models behind the tools work. [Open the syllabus](/courses/ai-ml-masterclass-teens)II ### Adults: building with AI Ages 18 and up VAAC / ADULT / 01 #### Generative AI LLMs, retrieval and agents, from first principles. [Open the syllabus](/courses/complete-generative-ai-masterclass-college) VAAC / ADULT / 02 #### Python automation Scripts and applied AI for real work. [Open the syllabus](/courses/python-ai-automation-masterclass-college) VAAC / ADULT / 03 #### Full stack development React, Node.js and deployment basics. [Open the syllabus](/courses/full-stack-web-development-masterclass-college)III ### Adults: agents at work Professionals VAAC / PRO / 01 #### Gemini Enterprise agents Agents in a Google workplace. [Open the syllabus](/courses/build-ai-agents-with-google-gemini-enterprise-course) VAAC / PRO / 02 #### Copilot Studio agents Agents in a Microsoft workplace. [Open the syllabus](/courses/ai-agents-with-microsoft-copilot-studio-masterclass-for-professionals) VAAC / PRO / 03 #### Advanced Git and GitHub Review and control at team scale. [Open the syllabus](/courses/git-github-advanced-version-control-masterclass-for-professionals) How classes run ## Live classes, teens and adults apart Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays. Weekdays After school for teens; evenings for adults. Weekends Mornings or afternoons, in your own zone. 1-on-1 Built around your project or your codebase. ### Age-correct tools Teens and adults use what their age allows. ### Read, then accept No AI-written line is kept unexplained. ### Tools before agents Reliable functions first, then the loop. ### Checks on answers Every agent answer is compared with its tools. ### Version control Every change can be inspected and undone. ### Group or solo A batch of fifteen to twenty, or one to one. Student work ## Projects our students have shipped Some of these were built with AI assistance and then read, tested and fixed by the student. More are on the [student labs](/student-labs) page. ![NutriLife AI nutrition coach project screenshot](/images/projects/nutrilife.webp) AI and ML #### NutriLife An AI nutrition coach that reads what you eat and works you toward a target. by Bhavya · [Open it](https://nutrilife-bhavya.lovable.app) ![Misti AI chatbot for maths and coding screenshot](/images/projects/misti.webp) AI and ML #### Misti A chatbot that answers mathematics and programming questions, built and deployed by a student. by Harshit · [Open it](https://misti.modernagecoders.com) ![GuardianX AI internet safety assistant screenshot](/images/projects/guardianx.webp) AI and ML #### GuardianX An assistant that helps a young person recognise unsafe situations online. by Vivaan · [Open it](https://guardianx-cybersaver.lovable.app) ![SkyCast weather forecast application screenshot](/images/projects/skycast.webp) Web app #### SkyCast A weather forecasting site with live conditions for any location. by Krish Fees ## Fees Courses are paid by the month, and the fee covers eight live classes. Adults fitting classes around work can pause between months without anything owed. Free first class Free no card required - A free first class - A short read-the-AI-code exercise - No card details Book it Group batch $140 CAD a month, eight live classes - Fifteen to twenty learners of one age group - A regular teacher - A weekly slot that suits you - Billed monthly Start here One to one $210 CAD a month, eight live classes - A teacher to yourself - Your own project or repository - Times around your week Enquire What families say ## Rated 4.9 across 547 Google reviews Reviews on Google from students and parents, as they wrote them. ★★★★★ "The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it. The teachers explain complex concepts clearly with practical exercises and interactive content." Ria Mukherjee Parent ★★★★★ "Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I can now confidently write complex programs with ease." Samriddha Mondal Student ★★★★★ "One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development." Vansh Agarwal Student ★★★★★ "My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative." Sonam Oswal Parent of Dhairya ★★★★★ "Modern Age Coders have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence and inspires them to learn without hesitation." Sonu Goyal Parent ★★★★★ "I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding." Ritu Kedia Parent Questions about vibe coding and agents ## Vibe coding and AI agents in Canada: common questions ### What is vibe coding? Collins Dictionary, which made it its Word of the Year 2025, says vibe coding refers to the use of artificial intelligence prompted by natural language to write computer code. In our classes it is the first step; reading and testing what the AI wrote is the rest. ### What is the difference between an AI agent and a workflow? In Anthropic's definitions, a workflow runs models and tools through predefined code paths, while an agent lets the model direct its own process and tool use. Agents are more flexible and also more prone to compounding errors. ### Can teenagers take vibe coding classes? Yes. Our Vibe Coding for Teens course is for ages 13 to 17 and uses only tools whose terms allow the student's age, such as GitHub Copilot for verified students and, with a parent's permission, OpenAI's tools. ### Can a teen use Claude or Claude Code? No. Anthropic's terms say users must be at least 18 years old. We never recommend Claude or Claude Code to anyone under 18; they appear only in our adult courses. ### Is there an AI agents course for adults in Canada? Yes. Our Codex and Claude Code course for professionals runs 24 live classes over 12 weeks, from agent foundations to securing and shipping. Vibe Coding for College covers building full stack projects with AI assistance for ages 18 and up. ### Do I need to know how to code first? It helps but is not required. Every course starts by teaching learners to read code, because judging AI-written code is the core skill. Adults new to programming often take a Python course alongside. ### Can AI agents replace programmers? We make no such claim. Anthropic's own guidance warns of higher costs and compounding errors and recommends testing agents in sandboxed environments. Our own small agent shows an answer naming a park its tools never returned; only a check caught it. ### Can students use AI tools in the Canadian Computing Competition? No. The CCC rules forbid generative AI and AI-based tools inside an editor during the contest, so contest practice happens without assistants. ### What times are classes in Canada? Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays. Every time is set in your own province's zone. ### What will I build? Teens build Python and web projects with allowed assistants and explain every line. Adults build agents on real codebases and data, such as the Ottawa parks agent on this page, wrapped in tests and answer checks. Elsewhere on this site ## Related pages More on building with AI, and more for learners in Canada. ### [Coding classes in Canada](/coding-classes-in-canada) Our pages for every province. ### [AI and machine learning in Canada](/ai-and-machine-learning-classes-in-canada) Training models, not just prompting them. ### [What is vibe coding?](/what-is-vibe-coding) The idea in more depth. ### [Vibe coding for teens](/vibe-coding-for-teens) Our teen approach in detail. ### [A parent's guide to vibe coding](/parents-guide-to-vibe-coding) For parents of teens. ### [AI agents explained](/ai-agents-explained) How agents decide what to do. ### [Agentic coding classes](/agentic-coding-classes) Working with coding agents. ### [Model Context Protocol course](/model-context-protocol-mcp-course) Connecting agents to tools. ### [AI tools age guide](/ai-tools-age-guide) Age rules for many tools. Start here ## Book a free first class We start with a short piece of AI-written code that has a hidden mistake. Finding and explaining it tells the teacher your level, and whether the teen or adult course fits. Want to read more? [How we teach](/how-we-teach) explains a live class, and the [course pages](/courses) set out each syllabus. [WhatsApp us](https://wa.me/919123366161?text=Hello%20Modern%20Age%20Coders%2C%20I%20am%20in%20Canada%20and%20want%20to%20learn%20vibe%20coding%20and%20AI%20agents%20properly.%20Could%20we%20book%20a%20free%20first%20class%3F) · [+91 91233 66161](tel:+919123366161) · [connect@modernagecoders.com](mailto:connect@modernagecoders.com) Classes are live over video, with teachers based in India, for learners in every province and territory. The fastest way to reach us is WhatsApp. ### Want a class sooner? Book a priority demo A priority demo is a full class of about 45 to 60 minutes. After the class the mentor sends a written skill report and a personal learning roadmap on WhatsApp. If you enrol, the demo fee is adjusted against your first month's fee. Share your demo Order ID with us on WhatsApp and we take it off. [Book a priority demo](/book-demo) ## Keep exploring Modern Age Coders ### Coding classes in nearby places - [Vibe Coding and AI Agents Classes in Kingston, Ontario](/vibe-coding-and-ai-agents-classes-in-kingston-ontario) - [Python Classes in Canada: Live Online for Kids, Teens, Adults](/python-classes-in-canada) - [Vibe Coding and AI Agents Classes in Milton, Ontario](/vibe-coding-and-ai-agents-classes-in-milton-ontario) - [Coding and AI Classes in Washington State](/coding-classes-in-washington) - [Vibe Coding and AI Agents Classes in North Vancouver](/vibe-coding-and-ai-agents-classes-in-north-vancouver) - [Coding and AI Classes in Virginia](/coding-classes-in-virginia) - [AI and Python Classes for Teens in Austin, Texas](/ai-and-python-classes-for-teens-in-austin-texas) - [Coding and AI Classes in Maryland](/coding-classes-in-maryland) - [Coding and AI Classes in Florida](/coding-and-ai-classes-in-florida) ### Learn more - [AI Agents for Teens](/ai-agents-for-teens) - [AI Agents Course for Professionals in Australia](/ai-agents-course-for-professionals-australia) - [AI Agents & Automation for Business](/ai-agents-and-automation) - [AI Agents with Microsoft Copilot Studio for Teens](/courses/ai-agents-with-microsoft-copilot-studio-course-for-teens) ### Free resources - [AI & Machine Learning Tutorial: Basics to Deep Learning](/resources/ai-and-machine-learning) - [Dimensionality Reduction](/resources/ai-and-machine-learning/dimensionality-reduction) - [Introduction to AI and Machine Learning](/resources/ai-and-machine-learning/introduction-to-ai-and-ml) - [Linear Regression](/resources/ai-and-machine-learning/linear-regression) ### From the blog - [AI & Machine Learning Guides](/blog/topic/ai) - [10 Best Free Vibe Coding Platforms and Tools in 2026](/blog/best-free-platforms-for-vibe-coding) - [File Types in Python: A Complete Beginner's Guide to Working](/blog/file-types-in-python-complete-guide) - [How Working Professionals Can Upskill with Coding Without](/blog/working-professionals-upskill-coding-without-quitting-job) ### Start here - [Modern Age Coders pricing, one honest price per plan](/pricing) - [How Modern Age Coders teaches, small batches and real projects](/how-we-teach) Free class[Priority demo](/book-demo)[Call us](tel:+919123366161) --- *Canonical: https://learn.modernagecoders.com/vibe-coding-and-ai-agents-classes-in-canada*