Learning AI should feel like a craft, not a race
We built Bestari AI around the idea that understanding takes time, and that good teaching means meeting learners where they actually are — not where a syllabus assumes they should be.
← Back to HomepageStarted from a shared frustration
Bestari AI began in 2022 when a small group of developers and educators in Kuala Lumpur noticed the same thing: most AI courses either moved too fast for people who were learning alongside full-time jobs, or they covered theory so removed from local business realities that participants struggled to apply anything once the programme ended.
We started by running a single eight-week cohort from a shared workspace on Jalan Ampang, working with twelve participants who were career changers — a logistics coordinator, a secondary school teacher, a sales manager — all curious about machine learning but unsure where to begin. The feedback from that first cohort shaped everything that came after.
What they asked for was not more content or faster delivery. They wanted clarity, patience, and someone who would engage with their specific questions rather than field them with generic answers. That has remained the foundation of how we work.
By 2024, Bestari AI had grown into three structured online programmes, each designed for a different point of entry. We remain deliberately small — cohorts are kept to a size where mentors can give real attention to each participant's work, and where questions in a live clinic do not get lost in a crowd.
Our Mission
To make AI development accessible to working adults in Malaysia by offering programmes that move at a considered pace, connect concepts to local business contexts, and treat each learner as someone with a specific starting point rather than a generic student.
Our Vision
A Malaysia where more professionals can read, evaluate, and work with AI systems not just as end users, but as people who understand what is happening under the surface and can shape how these tools are used in their organisations.
Our Values
Patience in teaching. Honesty about what a programme can and cannot give you. Respect for participants' time. A preference for depth over breadth, and for practical work over surface-level exposure.
Who you will be learning with
Nadia Rashid
Lead Mentor · Machine Learning
Nadia spent seven years working on data systems for a logistics firm in Petaling Jaya before moving into education. She leads the Applied Machine Learning Engineering cohorts and writes most of the exercise feedback guides.
Faiz Hisham
Mentor · Deep Learning
Faiz completed a doctorate in computational learning at Universiti Malaya and now mentors the Deep Learning and Neural Networks track. His written feedback is detailed and direct, which participants consistently mention as one of the programme's strengths.
Sharifah Liana
Mentor · Foundations Programme
Sharifah came to programming in her thirties and brings a particular patience to learners who are new to code. She runs the Foundations of AI with Python cohorts and has developed most of the beginner exercise sequences currently in use.
How we maintain programme quality
Regular curriculum review
Programme content is reviewed every six months against current developments in the field. We update exercises and lesson materials so that what participants learn reflects how the tools are actually being used.
Written feedback on all work
Every submitted exercise receives written comments from a named mentor — not automated scoring. Feedback addresses correctness, code style, and the thinking behind the approach taken.
Cohort size limits
We cap each cohort at a size where live clinic questions can be addressed individually. When a programme is full, we hold a waitlist rather than expand beyond what the mentoring team can support well.
Data privacy and security
Participant data is held securely and used only for administering enrolment and programme communication. We comply with Malaysia's Personal Data Protection Act and do not share information with third parties for marketing.
Mentor qualification standards
Mentors are selected on the basis of technical depth and their ability to explain concepts clearly to people at different stages. Teaching experience and professional practice are both considered during the selection process.
End-of-cohort participant review
At the close of each cohort, participants complete a structured feedback form. Responses are reviewed by programme leads and used to make direct changes to the next intake rather than filed away.
What it means to teach AI as a craft
The field of artificial intelligence has expanded quickly, and so has the market for education around it. Most of what is available online emphasises speed and breadth — a large number of topics covered at a pace that suits people who are already familiar with the fundamentals. Bestari AI takes a different position.
Our programmes are built around a single principle: that understanding a concept well enough to use it in a real setting takes longer than most courses allow. We cover fewer topics than some programmes of comparable length, but we spend more time on each one. Participants work through exercises that connect the concept to actual data problems, receive detailed feedback on what they submitted, and have space in live sessions to ask about the parts that did not make sense on first reading.
Working in Malaysia means working alongside a particular range of industries — manufacturing, retail, financial services, the public sector — each with its own data characteristics and practical constraints. Our project scenarios are drawn from these contexts, which means participants leave with experience applying machine learning to problems that reflect what they are likely to encounter in their own organisations.
We also take responsible deployment seriously. The advanced programme includes sessions on evaluating model behaviour, considering what a model might get wrong, and thinking about how to present technical findings to colleagues and decision-makers who are not working directly with the code. These are not bonus topics — they are part of what it means to use these tools well.
Find the programme that suits where you are
If you are unsure which track is the right starting point, we are happy to talk through your background and what you are hoping to do with these skills.
Send an Enquiry