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Become Fluent in Python & ML Basics

6 Weeks. Live Online Classes.

Next Cohort Starting Feb 9th, 2026

Enrol Now

Our Partners

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Fast-track entry to our Intermediate tracks

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Ship real ML applications

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Talk AI like you’ve done it for years

  • Syntax, variables, functions and Jupyter notebooks.

    You’ll be able to read and write clean Python scripts without copy-pasting from Stack Overflow.

  • Reading CSV/JSON, cleaning, merging and reshaping data with built-in Python tools.

    Turn messy, real-world data into tidy, analysis-ready tables—fast.

  • Pandas DataFrames, group-by operations, quick charts.

    Slice, dice and visualise data so insights jump off the screen.

  • Train-test split, model lifecycle, evaluation metrics.

    Understand exactly how an ML model is built and judged—no magic, just method.

  • k-NN, decision trees, linear & logistic regression, clustering.

    Compare strengths and limits of the most common algorithms and pick the right one for a problem.

  • Scikit-learn pipelines, experiment tracking, Git, Streamlit.

    Wrap everything together into a runnable mini-app you can show recruiters or stakeholders.

What you will learn?

Join our 6-week Introduction to Python and Machine Learning course to gain a solid foundation in programming and key machine learning concepts. Through hands-on projects and practical exercises, you'll develop core skills in Python, data analysis, and introductory machine learning techniques. Ideal for beginners, this course prepares you to take the next steps in AI and data science or advance to more specialized machine learning studies.

  • You’ve heard the AI buzz and want a structured, low-pressure way to find out what’s really involved.

  • Marketers, ops managers, accountants—gain the data skills to automate tasks and speak confidently with technical teams.

  • Add a practical, portfolio-ready ML project to your résumé and stand out at graduate-recruitment time.

  • Get an early taste of coding and AI before choosing STEM majors—no prior experience required.

  • Thinking about a pivot into tech or data? Test-drive Python and ML fundamentals in just six weeks.

Who Should Enrol?

  • Clean, analyse and visualise data sets for marketing, finance or operations teams.

  • Automate repetitive data-prep tasks and evolve into a data-quality or reporting role.

  • Troubleshoot basic Python/ML issues and become the “AI-literate” point of contact.

  • Enrich requirements gathering with data-driven insights and quick prototype models.

  • Seamlessly move into our Intermediate tracks—deep-dive ML engineering, analytics, or AI product development—armed with solid foundations.

Career Pathways

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Amir Charkhi
Technology leader | Adjunct Professor | Founder

With 20 + years across energy, mining, finance, and government, Amir turns real-world data problems into production AI. He specialises in MLOps, cloud data engineering, and Python, and now shares that know-how as founder of AI Tech Institute and adjunct professor at UWA, where he designs hands-on courses in machine learning and LLMs.

Begineer AI: Introduction to Python and Machine Learning

6 Weeks. Live Online Classes.

Beginner AI Foundations - Python & ML Beginner AI Foundations - Python & ML
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Beginner AI Foundations - Python & ML
$999.00

Student Outcomes

  • "I recently completed a course at AI Tech Institute and was thoroughly impressed. The curriculum was thoughtfully structured, the instructor was truly dedicated, and the overall learning experience delivered exceptional value."

    Maria

  • "Taking the Machine Learning course at AI Tech Institute was a game changer. It gave me the skills and confidence to break into AI and helped me land a job soon after. The content was practical and beginner friendly, with clear lessons and hands-on projects that made a real difference during interviews."

    Pani

  • "Very valuable course. Amir is a great instructor, explained how machine learning used in the real world in a easy way. Highly recommend for people who want to know more about AI or work in this area."

    Hoàng Phước

  • "The AI and Data science bootcamp was one of the most impactful learning experiences I’ve had. The curriculum was well structured. The instructor was knowledgeable and supportive, and the course provided a strong balance between theory and hands on labs. Highly recommended!"

    Ehsan

  • "I took a course at AI Tech Institute, and it genuinely exceeded my expectations. The content was not only clear and well-structured, but also incredibly relevant to the challenges I deal with day-to-day at work."

    Rosha

  • "Extremely happy with clear, well designed and applicable syllabus to be implemented in day-to-day need of nowadays coding ability. Coming from non-IT background, it is a valuable experience of seamlessly and effortless the teaching was, for me to understand the complex subjects. Would definitely recommend to colleagues and friends!"

    Kresna

  • "Absolutely fantastic experience with AI Tech Institute! I couldn’t be happier with the quality of education and support I received here. The instructors are true experts — knowledgeable, approachable, and always willing to help students succeed. The curriculum is up-to-date with the latest advancements in AI and tech, blending theory with plenty of hands-on projects that really build practical skills."

    Foad

  • "Amir is both technically proficient, and a very good teacher. He was attentive to where each person in the group was and paced the information flow accordingly. I also found him very approachable, encouraging and supportive."

    Francois

Frequently Asked Questions

  • Beginner courses: none— we start with Python basics.
    Intermediate & Advanced: ability to write simple Python scripts and use Git is expected.

  • Plan on 8–10 hours: 2× 3-hour live sessions and 2–4 hours of project work. Advanced tracks may require up to 10 hours for capstone milestones.

  • All sessions are recorded and posted within 12 hours. You’ll still have access to Slack/Discord to ask instructors questions.

  • New intakes launch roughly every 8 weeks. Each course page shows the exact start date and the “Apply-by” deadline.

  • Just a laptop with Chrome/Firefox and a stable internet connection. All coding happens in cloud JupyterLab or VS Code Dev Containers—no local installs.

  • Yes. 100 % refund until the end of Week 2—no questions asked. After that, pro-rata refunds apply if you need to withdraw for documented reasons.

  • Absolutely. We issue invoices to companies and offer interest-free 3- or 6-month payment plans.

  • Live Q&A in every session, 24-hour Slack response time from instructors, weekly office-hours, and code reviews on your GitHub pull requests.