A structured introduction to AI fundamentals, practical applications, and essential AI development skills.
Level: Intermediate to Advanced
Prerequisites: Grade 12 AI or equivalent foundational knowledge
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3))
Assessments: Weekly practical assignment, Mid-term project, final project
Specializing in advanced AI techniques and real-world applications for industry and research
Level: Advanced
Prerequisites: Year 1 AI coursework or equivalent experience
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: Weekly practical assignment, industry project, final thesis
Focus on specialized AI fields, research methodologies, and large-scale AI applications.
Level: Advanced
Prerequisites: Year 2 AI coursework or equivalent experience
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: Weekly practical assignment, Mid-term research paper, industry project
Final year focus on AI mastery, industry-ready solutions, and AI entrepreneurship.
Level: Expert
Prerequisites: Year 3 AI coursework or equivalent experience
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: Industry AI deployment, AI ethics, AI startup proposal
Full year course for mastering advanced LLMs, real-world applications, and NLP research.
Level: Expert
Prerequisites: Year 3 AI coursework or equivalent experience in NLP and deep learning
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: LLM deployment, NLP research thesis, industry project
A deep dive into AI-powered agents for automation, autonomous reasoning, and adaptive systems.
Level: Expert
Prerequisites: Year 3 AI coursework or experience in reinforcement learning and automation
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: AI agent development, industry case study, multi-agent system simulation
Understanding the top AI frameworks, libraries, and development best practices for building scalable AI solutions.
Level: Advanced
Prerequisites: Intermediate Python, Deep Learning basics
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: AI application deployment, framework benchmarking, real-world projects
A research-driven course focused on cutting-edge AI methodologies and development techniques.
Level: Expert
Prerequisites: AI Foundations, Experience with AI Model Development
Duration: 72 Hours (12 Weeks, 6 Hours per Week - 2 Hrs x 3)
Assessments: Research implementation, advanced AI model deployment
