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WELCOME TO INTELLIBUILD LMS

Your gateway to limitless learning possibilities

MISSION

Our mission is to equip technology-driven companies with advanced training in large language models and agentic AI application development. Our goal is to create a professional learning environment where individuals and teams can build practical capabilities in AI, data, and digital systems through structured, modern, and workplace-relevant learning experiences.

WHAT WE OFFER

This LMS platform hosts Intellibuild’s QCTO course: Advanced Spatial Intelligence Data Scientist (SP-210603).

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OUR TEAM

Meet the team

Prof. Malusi Sibiya
Facilitator
Prof. Malusi Sibiya is an Associate Professor of Artificial Intelligence with a decade of expertise in Machine Learning, Deep Learning, and Natural Language Processing. His current research is centered on large language model applications and agentic AI, utilizing tools like Langchain, LangGraph, and Lang Smith. He is an Associate Professor at the University of South Africa in the CAIDS center and also develops agentic solutions for clients at Intellibuild. Additionally, Prof. Sibiya is a NVIDIA certified university ambassador and is qualified to teach a course on LLMs with Prompt Engineering at the NVIDIA Deep Learning Institute.
Bongiwe Sibiya
Secretary and Project Manager
Mrs. Bongiwe Sibiya, supports Intellibuild by organizing client meetings at Intellibuild.She is an experienced administrative support professional with a strong technical foundation, holding an Electrical Trade Test Certificate (Red Seal) complemented by a short course in Construction Management. Her combined technical and administrative background enables her to effectively support project documentation, compliance administration, and record management within structured and regulated environments.

FREQUENTLY ASKED QUESTION

General Question

What is this course about?

It is a practical course in spatial intelligence, geospatial data science, GeoAI, and spatial application development.

Anyone interested in spatial data, digital mapping, geospatial technologies, and applied AI workflows.

Yes, it is accessible to learners with basic computer literacy and an interest in data and technology.

The course is structured over 6 months.

You will be able to work more confidently with spatial data, geospatial analysis, GeoAI concepts, and practical spatial technology workflows.

Do you have any other questions?