--- title: "AI Course for University Students in Peru, Live in English" description: "An AI course for university students in Peru: live online classes in English covering Python, machine learning, generative AI and agents, beside any degree." canonical: https://learn.modernagecoders.com/ai-course-for-university-students-peru source: src/pages/ai-course-for-university-students-peru.html --- > An AI course for university students in Peru: live online classes in English covering Python, machine learning, generative AI and agents, beside any degree. What this is Modern Age Coders offers an AI course for university students in Peru: live online classes taught in English, beside any degree. Students learn Python, the maths behind machine learning, supervised and unsupervised models, generative AI and agents, and they test every project on data the model has not seen. Mentors based in India teach a group of fifteen to twenty students or one student alone, at times that fit lectures and exams in Peru. It suits engineering and computer science students who want depth and students of other subjects who want AI they can actually explain. Where to start ## Three AI courses for undergraduates The first is the broad foundation; the second goes into classical AI theory; the third is for students who already code and want generative AI and agents. [![AI and ML Masterclass course thumbnail](/images/ai-ml-college.webp) AUS / 01 AI and ML Masterclass Python, statistics and linear algebra as they are needed, then supervised and unsupervised learning, neural networks and an introduction to generative AI. The usual starting point for students of any degree. Open the syllabus →](/courses/ai-ml-masterclass-complete-college)[![Artificial Intelligence Course course thumbnail](/images/ai-college.webp) AUS / 02 Artificial Intelligence: Search, Logic and Agents The theory a computer science degree touches only briefly: search, logic, planning, probabilistic reasoning and agents. For students who want to understand AI rather than only use libraries. Open the syllabus →](/courses/artificial-intelligence-complete-masterclass-college)[![Generative AI Course course thumbnail](/images/generative-ai-college.webp) AUS / 03 Generative AI: LLMs, RAG and Agents For students who already write Python. How large language models are used in practice: retrieval, evaluation, tool use and agents, built and tested as real projects. Open the syllabus →](/courses/complete-generative-ai-masterclass-college) Beside your degree ## Why take an AI course while studying at a Peruvian university? Because AI now touches almost every degree, and most programmes are still adding it. A focused course fills the gap without changing what you study. Peru has a large university population. SUNEDU, the national university regulator, reported on 15 September 2021 that the country had 94 licensed universities, 46 public and 48 private, with 1.1 million university students across 5,500 programmes. The United States government's trade guide to Peru gave a figure of 1.2 million university students in its 2022 edition. The two counts come from different sources and years, so we print each with its own date rather than combine them. ### Engineering and computer science You may already code. What a course adds is depth in the machine learning your syllabus covers lightly: unsupervised learning, evaluation, generative AI and agents, with time to build projects properly. ### Economics, business and science You work with data already. A course teaches you to fit, test and question models yourself, in Python, instead of reading results someone else produced. ### Law, health, education and the arts You will meet AI in your profession. Understanding how a model learns and fails lets you judge its output, which is a different skill from using a chatbot. Online access is rarely the problem. INEI's household survey for the second quarter of 2026 found that 98.0% of people in Peru with university education used the internet, and 97.3% of those aged 19 to 24. A laptop is the real requirement: only 36.4% of Peruvian households owned at least one computer in the same quarter, so many students rely on a university lab or a shared machine. Our classes work on any modest laptop; nothing in the first months needs a powerful graphics card. What 2025 changed ## What does Peru's AI regulation ask universities to teach? It asks for AI content to be added progressively to related programmes. DS 115-2025-PCM, the regulation of Law 31814 published in El Peruano on 9 September 2025, names the disciplines. | Programme area (as named) | In English | Our nearest course (our choice) | | --- | --- | --- | | Ingeniería de sistemas | Systems engineering | AI and ML Masterclass; Search, Logic and Agents | | Ciberseguridad | Cybersecurity | Generative AI: LLMs, RAG and Agents | | Ingeniería electrónica | Electronic engineering | AI and ML Masterclass | | Ingeniería de software | Software engineering | Data Structures and Algorithms; Codex and Claude Code | | Ciencias de la computación | Computer science | Search, Logic and Agents; DSA | | Tecnologías de la información | Information technology | Data Analysis | | Matemáticas | Mathematics | Maths for data science; AI and ML Masterclass | Source: DS 115-2025-PCM, Reglamento de la Ley 31814, article 13.3, El Peruano, 9 September 2025 (the list also adds "demás disciplinas afines", other related disciplines). The right-hand column is our own mapping to our courses; it is not part of the regulation. Read on 9 November 2026. ### What the text says Article 13.3 says the government's digital transformation office "fomenta la incorporación progresiva" of AI content in those programmes, to strengthen graduates' profiles and respond to digital transformation. "Progressive" is the important word: the change happens over years, programme by programme. Article 19 adds that the office may open public cloud computing resources for AI work to public bodies, researchers, teachers and undergraduate and postgraduate students. The same regulation gives public universities up to two years to implement several of its obligations. ### What it means for you If you are in one of those programmes now, AI content may arrive in your syllabus before you graduate, or after. A course alongside your degree means you do not have to wait for it. We quote the regulation as published context, not legal advice. It does not endorse any course, ours included, and we are not connected with any Peruvian university, SUNEDU or the government. A real lesson ## Why can the same algorithm give two answers? k-means by hand This lesson comes early in our unsupervised learning unit. Students write k-means from scratch in plain Python, run it twice on the same twelve points, and get two different results, one of them twenty times worse. The scikit-learn user guide describes k-means as an algorithm that groups data by "minimizing a criterion known as the inertia or within-cluster sum-of-squares": the total squared distance from each point to the centre of its group. It repeats two steps, assign each point to its nearest centre, then move each centre to the mean of its points, until nothing moves. Our version below does exactly that in about twenty lines, with no library. ***k-means from scratch, three starting positions**Python* ``` # Twelve invented points: three tight groups on a plane. points = [(1, 1), (1, 2), (2, 1), (2, 2), (8, 1), (8, 2), (9, 1), (9, 2), (5, 8), (5, 9), (6, 8), (6, 9)] def dist2(a, b): return (a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2 def kmeans(centroids, rounds=10): for _ in range(rounds): groups = [[] for _ in centroids] for p in points: nearest = min(range(len(centroids)), key=lambda i: dist2(p, centroids[i])) groups[nearest].append(p) new = [] for g, c in zip(groups, centroids): if g: new.append((sum(x for x, y in g) / len(g), sum(y for x, y in g) / len(g))) else: new.append(c) if new == centroids: break centroids = new inertia = sum(min(dist2(p, c) for c in centroids) for p in points) return centroids, inertia for name, start in [("start A", [(1, 1), (8, 1), (5, 8)]), ("start B", [(1, 1), (2, 2), (7, 5)])]: cents, inertia = kmeans(start) print(name, "->", [(round(x, 2), round(y, 2)) for x, y in cents], "inertia", round(inertia, 2)) def farthest_first(k): chosen = [points[0]] while len(chosen) < k: chosen.append(max(points, key=lambda p: min(dist2(p, c) for c in chosen))) return chosen start_c = farthest_first(3) cents, inertia = kmeans(start_c) print("start C", start_c, "->", "inertia", round(inertia, 2)) ``` Run with Python 3, it prints three lines, shown below. The twelve points are invented by us: three tight groups of four. ***Output**Output* ``` start A -> [(1.5, 1.5), (8.5, 1.5), (5.5, 8.5)] inertia 6.0 inertia 121.33 start C [(1, 1), (6, 9), (9, 1)] -> inertia 6.0 ``` Starts A and C find the three obvious groups, with inertia 6.0. Start B stops at inertia 121.33. ### What happened with start B Start B places two centres inside the same bottom-left group and one centre between the other two groups. The two close centres split the bottom-left group between them, and the third centre sits at (7, 5), the average of eight points that belong to two different groups. Nothing moves after that: every point is already nearest to its current centre, so the algorithm stops. It has converged, correctly by its own rules, to a poor answer. By our own division, its inertia is about twenty times that of the good solution. ### What the documentation says The scikit-learn guide is direct about it: "Given enough time, K-means will always converge, however this may be to a local minimum. This is highly dependent on the initialization of the centroids." Its remedies are to run the computation several times from different starts, and to use the k-means++ initialisation, which spreads the first centres apart. Start C uses a simpler cousin of that idea, which we call farthest-first: take the first point, then repeatedly add the point farthest from every centre chosen so far. It picks (1, 1), (6, 9) and (9, 1), one per group, and finds the good answer. 1. **Predict.** Before running, sketch the points and the three starts on paper. Which start do you expect to fail, and where will its centres end up? 2. **Choose k.** Run k-means with k from 1 to 5 using farthest-first starts and print the inertia each time. Why does inertia always fall as k grows, and why does that make it a poor way to choose k on its own? 3. **Break farthest-first.** Add one point far away from everything, such as (20, 20). What does farthest-first choose now, and what does that tell you about outliers? 4. **Compare with the library.** Run scikit-learn's `KMeans` on the same points with `n_init=1` and different random seeds, then with k-means++. Report how often each finds inertia 6.0. The point is not k-means itself. It is the habit of distrusting a single run: of asking whether a result depends on a random start, a seed or an ordering, and checking. That habit applies to training a neural network, tuning a language model prompt or reading a published result, and it is the habit we most want university students to leave with. English by age ## How good is English among young adults in Peru? It improves sharply through the early twenties. In EF's English Proficiency Index 2025, Peruvians aged 18 to 20 score in the "low" band, while those aged 26 to 30 reach "high". | Age group | EF EPI 2025 score | EF band | | --- | --- | --- | | 18 to 20 | 469 | Low | | 21 to 25 | 540 | Moderate | | 26 to 30 | 559 | High | | 31 to 40 | 537 | Moderate | | 41 and over | 509 | Moderate | Source: EF Education First, EF English Proficiency Index 2025, Peru country page, age-group scores and bands as published; Peru overall scores 519, "Moderate". Read on 9 November 2026. EF tests adults who choose to take its online test, so these are not university statistics. ### Why it matters for AI Most AI research papers, library documentation, model cards and courses are written in English, and so are error messages. The gap between a score of 469 and one of 540 is roughly the gap between needing a translator for a paper and reading it directly. Taking an AI course in English while at university means the two skills grow together: the vocabulary of the subject (inertia, centroid, overfitting, embedding) becomes ordinary words, used in class every week. ### How our classes handle it Mentors speak clearly and at a steady pace, type key terms and formulas in the chat, and stop for questions. Students present their projects in short spoken summaries and written reports, both in English, with feedback on the explanation as well as the code. We do not teach in Spanish. If you would rather read about our AI courses in Spanish first, see the [curso de inteligencia artificial en inglés](/curso-de-inteligencia-artificial-en-ingles-peru) page; the classes it describes are the same live, English-taught classes. Which course ## Which AI course should a university student choose? Start from what you can already do, not from what sounds most advanced. A student who skips the foundations usually returns to them within a month. | If you | Start with | Then | | --- | --- | --- | | Have never coded | Python Masterclass, or the AI and ML Masterclass from its first unit | Data analysis, then generative AI | | Code a little, any degree | AI and ML Masterclass | Generative AI, or Search, Logic and Agents | | Study CS or systems engineering | Search, Logic and Agents, beside DSA | Generative AI and agents | | Want maths depth | Maths for Data Science | AI and ML Masterclass | | Want to build with AI coding agents | Codex and Claude Code for professionals (18+) | Generative AI | Our own recommendations, adjusted for each student after the free first class. ### Age and tools Most undergraduates are 18 or over, so adult tools are open to them under the vendors' terms; Anthropic's Claude, for example, requires users to be at least 18. Some students start university at 16 or 17. For them we follow our teen rules: no Claude, and ChatGPT only with a parent's permission, as OpenAI's terms require under 18. In every case, students first solve a problem without AI help, then use tools to check and extend their work, never to replace their understanding. ### What a course will not do It will not replace your degree, award Peruvian credits or guarantee a job. Students who finish a course receive our own certificate of completion. What employers and graduate programmes usually look at is the work: projects you can explain, tested properly, with code they can read. For a wider view of programming courses for students, our Spanish page [cursos de programación para universitarios](/cursos-de-programacion-para-universitarios-peru) covers Java, Python and DSA as well as AI. Milestones ## From first model to defensible project: milestones Our milestones for university students. They are not academic credits, and they are not tied to any Peruvian university's syllabus. | Milestone | The student can | What they hand in | | --- | --- | --- | | 1. Python fluency | Write and debug functions, classes and data handling | A small data tool with tests | | 2. Supervised models | Train, tune and compare regression and classification | A comparison on held-out data | | 3. Unsupervised models | Cluster and reduce dimensions; check stability across starts | The k-means lesson, extended | | 4. Neural networks | Train a small network and read its learning curves | A short report on what went wrong | | 5. Generative AI | Use a language model with retrieval and evaluation | A tested application with an evaluation set | | 6. Defend it | Explain a project's data, limits and risks aloud | A ten-minute talk in English | ### For students A result you got once is an anecdote. Run it again from a different start. Write down what your model cannot do before someone else finds out. ### For parents Monthly notes describe projects completed and concepts mastered. Milestone 6 is where most students discover how much they actually know. More courses ## Nine more courses for university students All taught live in English, each with a mentor who stays with you through the course. I ### Foundations Any degree AUS / BASE / 01 #### Python Masterclass From zero to advanced, the language every AI course assumes. [Open the syllabus](/courses/python-programming-masterclass-zero-to-advanced-college) AUS / BASE / 02 #### Maths for Data Science Statistics, linear algebra and the maths behind ML. [Open the syllabus](/courses/data-analytics-mathematics-masterclass) AUS / BASE / 03 #### Data Analysis Excel, SQL, Python and BI on real datasets. [Open the syllabus](/courses/data-analysis-mastery-course-college)II ### Computer science depth CS and engineering AUS / CS / 01 #### Data Structures and Algorithms The problem solving technical interviews test. [Open the syllabus](/courses/data-structures-algorithms-masterclass-college) AUS / CS / 02 #### Data Science Course Python, machine learning and deep learning end to end. [Open the syllabus](/courses/data-science-complete-masterclass-college) AUS / CS / 03 #### Python Automation and Applied AI Scripts, scraping and practical AI tools. [Open the syllabus](/courses/python-ai-automation-masterclass-college)III ### Building with AI 18 and over AUS / BUILD / 01 #### Codex and Claude Code AI coding agents, with every change reviewed by you. [Open the syllabus](/courses/codex-and-claude-code-ai-coding-agents-masterclass-for-adults-professionals) AUS / BUILD / 02 #### Vibe Coding for College Full stack apps built with AI help and real DSA. [Open the syllabus](/courses/vibe-coding-for-college-fullstack-ai-dsa-career-course) AUS / BUILD / 03 #### AI Agents with Copilot Studio One to one: agents on Microsoft's low-code platform. [Open the syllabus](/courses/ai-agents-with-microsoft-copilot-studio-course-for-college-students) How classes run ## How do live AI classes fit around lectures? Any day, any time, flexible: choose a batch, or for a very personalised plan choose 1-on-1 at the hour that suits your family. Morning in Peru Evening in India; a good slot before or between lectures. Evening in Peru Early morning in India; possible with the right mentor. One to one Moves around exams and lab weeks when you need it to. ### Theory, then code Each idea is derived, then implemented from scratch. ### Unseen-data tests Every result is checked on held-out data. ### Exam-season pauses Tell us your calendar and we plan around it. ### Written reports Projects end with a short English write-up. ### Same mentor One person follows your work from start to finish. ### Modest hardware Any ordinary laptop is enough to begin. Student work ## Work by our older students A sample of projects built by students in our longer courses; more 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 ## What the AI courses cost You pay in US dollars with a card. The conversion to soles happens at your bank, on the day of each payment and at the bank's rate, so a statement can differ slightly from the previous month's. Free first class Free no card required - A free first class - A short ML task with a mentor - No card needed to book Book it Group batch $100 USD a month, eight live classes - Fifteen to twenty students - One mentor for the whole course - Two live classes weekly - Billed monthly; leave whenever you want Start here One to one $150 USD a month, eight live classes - A mentor working only with you - Pace and projects shaped by your degree - Hours that fit your timetable Enquire What families say ## Rated 4.9 across 547 Google reviews Google reviews from students and families, quoted exactly. ★★★★★ "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 Students ask ## AI course for university students: questions ### Are the classes in Spanish? No. All classes are live online sessions taught in English, with no Spanish-language option. Mentors explain at a measured pace, write key terms and formulas in the chat and adjust to your accent, so a student with intermediate English can follow and improve as the course goes on. ### Do I need to study computer science to take an AI course? No. Students from economics, engineering, business, health, law and the sciences take our courses. If you have never coded, we start with Python; the maths needed for machine learning is taught as it comes up. ### How much maths do I need? Secondary school algebra is enough to begin. Statistics, probability and linear algebra are introduced as each model needs them. Students who want more depth can take our Maths for Data Science course alongside. ### Does Peru require universities to teach AI? DS 115-2025-PCM, published 9 September 2025, promotes the progressive addition of AI content to programmes such as systems engineering, software engineering, computer science and mathematics. It promotes rather than sets a fixed date for every programme; this is context, not legal advice. ### When are classes held? Any day, any time, flexible: choose a batch, or for a very personalised plan choose 1-on-1 at the hour that suits your family. Peru stays on UTC minus 5 all year and India on UTC plus 5:30, so 09:00 in Lima is 19:30 in India. ### Can I use Claude or ChatGPT in the course? If you are 18 or over, yes, within each vendor's terms, after you can solve the problem yourself. Students under 18 follow our teen rules: Claude is not used, because Anthropic's terms require users to be 18, and ChatGPT only with a parent's permission. ### Will this help me get a job? We make no job or salary promises. What the course gives you is skill and evidence: projects you built, tested on unseen data and can explain in English. Those are what you show an employer or a graduate programme. ### Is there a certificate? Yes, our own certificate of completion. It is not a university credit or an official Peruvian qualification, and we are not connected with SUNEDU or any university in Peru. ### What computer do I need? Any ordinary laptop with a stable connection and a headset. The early units run plain Python; later units use free cloud notebooks where heavier computation is needed, so a gaming graphics card is never required. ### Can I pause during exams? Yes. Tell your mentor your university calendar. One-to-one students can move classes around exams; group students can pause a month and rejoin a suitable group. See also ## Related pages More for students in Peru. ### [Coding and AI classes in Peru](/coding-and-ai-classes-in-peru) Every course we offer in Peru. ### [Python para estudiantes de ingeniería](/python-para-estudiantes-de-ingenieria-peru) Python for engineering students, in Spanish. ### [AI tools age guide](/ai-tools-age-guide) The age rules behind every AI tool we use. ### [We teach you how to think](/we-teach-you-how-to-think) Understanding before tools. ### [Student labs](/student-labs) Projects by our students. ### [How we teach](/how-we-teach) Inside a live class. ## More pages for Peru Part of the guide: [Every Peru page](/coding-and-ai-classes-in-peru) ### Subjects and courses - [AI agents course](/ai-agents-course-peru) - [AI agents for professionals](/ai-agents-for-professionals-peru) - [AI course for business](/ai-course-for-business-peru) - [AI course for kids](/ai-course-for-kids-peru) - [AI course for teens](/ai-course-for-teens-peru) - [AI for teachers](/ai-for-teachers-peru) - [App development course](/app-development-course-peru) - [App development for teens](/app-development-for-teens-peru) - [C++ course](/c-plus-plus-course-peru) - [Data science course](/data-science-course-peru) - [Java course](/java-course-peru) - [Java for CS students](/java-for-computer-science-students-peru) - [Maths for kids in English](/maths-for-kids-in-english-peru) - [Maths tutor in English](/maths-tutor-in-english-peru) - [Minecraft coding for kids](/minecraft-coding-for-kids-peru) - [One-on-one coding tutor](/one-on-one-coding-tutor-peru) - [Online maths classes](/online-maths-classes-peru) - [Python course](/python-course-peru) - [Python for engineering students](/python-for-engineering-students-peru) - [Python for kids](/python-for-kids-peru) - [Roblox coding for kids](/roblox-coding-for-kids-peru) - [Scratch for kids](/scratch-for-kids-peru) - [Software development course](/software-development-course-peru) - [SQL and data analysis](/sql-and-data-analysis-course-peru) - [Vibe coding classes](/vibe-coding-classes-peru) - [Web development course](/web-development-course-peru) ### Subjects and courses (in Spanish) - [Agentes de IA para profesionales](/curso-de-agentes-de-ia-para-profesionales) - [Clases particulares de programación](/clases-particulares-de-programacion-online-peru) - [Crear apps: adolescentes](/crear-apps-curso-para-adolescentes-peru) - [Curso de agentes de IA](/curso-de-agentes-de-ia-peru) - [Curso de IA para adolescentes](/curso-de-ia-para-adolescentes-peru) - [Curso de IA para empresas](/curso-de-ia-para-empresas-peru) - [Curso de inteligencia artificial en inglés](/curso-de-inteligencia-artificial-en-ingles-peru) - [Curso de inteligencia artificial para niños](/curso-de-inteligencia-artificial-para-ninos-peru) - [Curso de Java en inglés](/curso-de-java-en-ingles-peru) - [Curso de Python en inglés](/curso-de-python-en-ingles-peru) - [Cursos de programación con certificado](/cursos-online-con-certificado-programacion-en-ingles) - [Data science y Python](/curso-de-data-science-en-ingles-peru) - [Desarrollo de aplicaciones](/curso-de-desarrollo-de-aplicaciones-en-ingles) - [Desarrollo de software](/curso-de-desarrollo-de-software-en-ingles-peru) - [Desarrollo web](/curso-de-desarrollo-web-en-ingles-peru) - [IA para docentes](/ia-para-docentes-curso-en-ingles) - [Java para universitarios](/curso-de-java-para-universitarios-peru) - [Matemáticas en inglés para niños](/clases-de-matematicas-en-ingles-para-ninos) - [Profesor de matemáticas en inglés](/profesor-de-matematicas-en-ingles-peru) - [Profesor particular de matemáticas online](/profesor-particular-de-matematicas-online-peru) - [Programación en Minecraft para niños](/programacion-minecraft-para-ninos-peru) - [Programación en Roblox para niños](/programacion-roblox-para-ninos-en-ingles) - [Python para ingeniería](/python-para-estudiantes-de-ingenieria-peru) - [Python para niños](/curso-de-python-para-ninos-peru) - [Scratch para niños en inglés](/scratch-para-ninos-en-ingles) - [Vibe coding en inglés](/vibe-coding-curso-en-ingles) More guides: [Coding and AI classes in Peru](/coding-and-ai-classes-in-peru) · [En español: clases de programación en inglés](/clases-de-programacion-en-ingles-peru) · [Start here: English-medium coding in Lima](/english-medium-coding-classes-lima) · [By age and stage: AI and coding for professionals](/ai-and-coding-for-professionals-peru) · [Exams, olympiads and school holidays: IB computer science tutor](/ib-computer-science-tutor-peru) · [Guides to choosing: An English-taught option to Crack The Code](/crack-the-code-alternative-in-english) · [Regions of Peru: Amazonas region](/online-coding-and-ai-classes-amazonas-region-peru) · [Cities: Arequipa: coding for every age](/coding-classes-in-arequipa-peru) · [Lima and Callao districts: Programación para niños en Ancón](/clases-de-programacion-para-ninos-ancon-lima) Start here ## Book a free AI class The trial is a working session: you write a few lines of Python, fit a small model and test it, while the mentor gauges your coding, maths and English. You leave with a recommended course and a plan that fits your semester. Before booking, you can read [how we teach](/how-we-teach) or open any syllabus from the [list of courses](/courses). [WhatsApp us](https://wa.me/919123366161?text=Hello%20Modern%20Age%20Coders%2C%20I%20am%20a%20university%20student%20in%20Peru%20and%20would%20like%20to%20know%20more%20about%20your%20AI%20course.%20Can%20I%20book%20a%20free%20first%20class%3F) · [+91 91233 66161](tel:+919123366161) · [connect@modernagecoders.com](mailto:connect@modernagecoders.com) Live video classes in English, taught by mentors in India. For a fast reply, write to us on WhatsApp in English. ### 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 ### Related courses and guides - [AI Courses for High School Students: School, Free and Live](/ai-courses-for-high-school-students) - [AI Courses for Kids in Australia](/ai-courses-for-kids-australia) - [AI Course for School Students in Germany, Taught in English](/ai-course-for-school-students-germany) - [AI Development Company](/ai-development-services) - [The AI Engineer Roadmap 2026: From Python Day One to Shipping AI](/ai-engineer-roadmap-2026) - [AI Course for Kids in Germany: How Machines Learn, in English](/ai-course-for-kids-germany) - [Coding and AI Classes in Farnborough](/best-coding-and-ai-classes-in-farnborough) - [Best Coding and AI Classes in Macquarie Park, Sydney](/best-coding-and-ai-classes-in-macquarie-park-sydney) - [Coding and AI Classes in Hemel Hempstead](/best-coding-and-ai-classes-in-hemel-hempstead) ### Learn more - [Orange Data Mining Course for College Students](/courses/orange-data-mining-machine-learning-course-for-college-students) - [AI and Machine Learning for Teens: Python to Real Models](/courses/ai-ml-masterclass-teens) - [Coding and AI for Teens in Cajamarca, Peru: Live, in English](/coding-and-ai-for-teens-in-cajamarca-peru) - [Python to AI Roadmap for Students in Oman](/python-to-ai-roadmap-for-students-oman) ### Free resources - [AI & Machine Learning Tutorial: Basics to Deep Learning](/resources/ai-and-machine-learning) - [Ensemble Methods](/resources/ai-and-machine-learning/ensemble-methods-and-boosting) - [Introduction to Neural Networks](/resources/ai-and-machine-learning/introduction-to-neural-networks) - [Logistic Regression and Classification](/resources/ai-and-machine-learning/logistic-regression-and-classification) ### From the blog - [AI & Machine Learning Guides](/blog/topic/ai) - [What is the Responsibility of Developers Using Generative AI? A](/blog/what-is-the-responsibility-of-developers-using-generative-AI) - [What Type of Data is Generative AI Most Suitable For? A Complete Guide](/blog/what-type-of-data-is-generative-ai-most-suitable-for) - [Agent Terminology in AI: A Simple Guide to Understanding AI Agents](/blog/agentic-terminology-in-ai) ### Start here - [Try a free trial class with a Modern Age Coders mentor](/free-trial) - [About Modern Age Coders, teaching since 2020](/about) Free class[Priority demo](/book-demo)[Call us](tel:+919123366161) --- *Canonical: https://learn.modernagecoders.com/ai-course-for-university-students-peru*