Why Anjung Code
What You Get That You Won't Find Everywhere
Paced programmes, qualified instructors, small cohorts, and feedback that is specific to your work — not a template.
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Six Reasons Learners Choose Anjung Code
Qualified Instructors
Our instructors have practical experience in the fields they teach — not just academic familiarity. They write the feedback you receive.
Deliberate Pacing
Each topic is introduced with enough room to settle before the next one arrives. The gallery metaphor is not decorative — it shapes how we sequence ideas.
Small Cohorts by Design
We limit cohort sizes so instructors can respond to individuals, not just the average learner. Your questions are heard, not lost in a crowd.
Real Projects
Every track ends with a project you built from the ground up. These are not exercises — they are things you can show, explain, and build on.
Malaysia-Based Operations
Support happens in your time zone. Sessions are timed for Malaysian evenings and weekends. Pricing is in ringgit.
Lasting Access
Deep Learning Gallery participants keep access to all materials after their cohort ends, alongside a quiet alumni space for ongoing questions.
Expertise
Instructors Who Work in the Field
The people who teach at Anjung Code have built models, wrangled real datasets, and shipped software in production. When they review your project, they notice what matters — not just whether the syntax runs.
This means feedback is grounded in how things actually work outside the classroom. It also means instructors can answer questions that go beyond the notes.
What this looks like in practice
Tools and methods used
Technology
Current Tools, Practical Methods
We teach the tools that working ML engineers actually use — not simplified stand-ins. The Deep Learning Gallery introduces PyTorch and covers deployment so learners finish with skills that transfer directly to real work.
Each programme is updated before new cohorts begin to reflect changes in the field. We remove things that have aged and add what has become standard.
Support
Questions Are Welcome at Every Stage
AI Foundations includes a weekly live clinic specifically for questions. There is no such thing as a question that is too basic — the clinic is designed to catch the things the notes did not fully address.
Machine Learning and Deep Learning cohorts have access to a peer channel and scheduled office hours throughout their programme. Questions posted there receive responses from instructors, not just other learners.
Support channels available
What the fee includes
Value
Transparent Pricing, No Hidden Additions
Our fees cover everything in the programme — there are no add-ons required to access feedback or support. AI Foundations is RM 990, the Machine Learning Track is RM 1,410, and the Deep Learning Gallery is RM 1,840.
These reflect the cost of small cohorts and personal instruction. We do not offer large-batch pricing because large batches change what we can offer.
Outcomes
What Learners Finish With
Each programme ends with something tangible. AI Foundations learners finish with a small working project and a clearer understanding of where to go next. Machine Learning Track participants complete two full projects with documented feedback. Deep Learning Gallery participants build and deploy a capstone application.
We measure our success by whether learners can explain and extend what they built — not just whether they completed the track.
What you leave with
Comparison
How Anjung Code Compares
We are not the only option for learning machine learning online. Here is how our approach differs from the more typical alternatives.
| Feature | Typical online course | Anjung Code |
|---|---|---|
| Cohort size | Open enrolment, hundreds of learners | 8–15 per cohort |
| Project feedback | Automated or peer-only | Written by instructors |
| Live question support | Forum posts, variable response time | Scheduled clinics and office hours |
| Pricing currency | USD, variable exchange costs | Malaysian Ringgit (RM) |
| Schedule timezone | Global, often inconvenient locally | Malaysian time (MYT) |
| Curriculum updates | Infrequent, static | Reviewed before each cohort |
| Programme pace | Self-directed with no structure | Structured and deliberately paced |
What Sets Us Apart
Distinctive Features of the Gallery
The Gallery Approach to Sequencing
Ideas are introduced one at a time with room to breathe. We deliberately avoid the "information flooding" approach that typifies many bootcamp-style programmes.
Instructor-Written Feedback Only
No rubric-generated scores, no peer-review workarounds. Every project that goes through our tracks comes back with comments written by someone who studied your specific work.
A Natural Three-Track Progression
The three programmes form a coherent path from newcomer to deep learning developer. Each track prepares you for the next without overlap or gaps — so moving between them is smooth, not jarring.
Alumni Space for Deep Learning Graduates
Deep Learning Gallery participants gain access to a quiet alumni channel after their cohort ends — a place to share resources and keep learning alongside others who have been through the same material.
Recognition
Milestones and Acknowledgements
340+
Learners enrolled across all cohorts since 2021
4.8/5
Average post-cohort satisfaction rating
2023
MDEC Digital Talent Development Recognition
68%
Of AI Foundations graduates continue to ML Track
Take the Next Step
See Which Track Is Right for You
Whether you are coming in fresh or already know some Python, there is a programme shaped for where you are. Reach out and we can help you decide.
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