Build Generative AI Applications with LLMs Training in Malaysia
Practical instructor-led Build Generative AI Applications with LLMs for professionals in Malaysia — workplace scenarios, guided labs and reusable workflows.
⏱Duration: Enquire for schedule
💻Format: Instructor-Led + Labs
🌐Delivery: Classroom · Virtual · Hybrid
✅Pass rate: 94%
📅Next intake: Enquire
🧠
Practical skills
Hands-on techniques you can use at work
💻
Guided labs
Instructor-led practice with realistic scenarios
🛡️
Responsible use
Accuracy, privacy and human oversight habits
🎯
Portfolio output
Finish with a demonstrable work product
AI & Automation
Practical training for Malaysia.
Generative AI applications go beyond a chat interface. They combine language models with business logic, data sources, APIs and user experiences. This hands-on course guides learners from a simple LLM-powered feature to a tested application that can retrieve information, produce structured responses and support real tasks. Learners compare model capabilities and limitations, implement retrieval-augmented generation (RAG), and apply responsible development practices. The course is technology-flexible; specific model providers and libraries may vary by cohort.
Delivered by Nexperts Academy with Malaysian workplace examples. Exact duration, delivery dates and fees are confirmed at enrolment. HRD Corp claim support is available for eligible employers.
Practical skills course — Build Generative AI Applications with LLMs.
This programme focuses on applied capability rather than an external vendor examination voucher unless separately arranged.
Who should take this course
💼
Software developers who want to add GenAI featur
Software developers who want to add GenAI features to existing products.
💼
Python programmers moving into LLM application d
Python programmers moving into LLM application development.
💼
IT engineers and solution developers building in
IT engineers and solution developers building internal AI tools.
💼
Data professionals developing document-based AI
Data professionals developing document-based AI assistants.