The Artificial Intelligence (AI) and Machine Learning (ML) – AI/ML Skilling Program is a comprehensive course designed to equip learners with foundational and advanced skills in AI and ML. Starting with programming in Python, learners build a strong base in statistical programming, data analytics, and data structures. The program delves into key AI branches, machine learning, deep learning, and AI ethics, ensuring participants grasp both technical and responsible AI practices. Additional modules cover project management, interactive design thinking, and specialized topics like natural language processing and ML for earth observation, preparing learners for real-world applications and entrepreneurial ventures.

Intakes: July

Financial Support: Scholarships Available.

What you will achieve:

1. Gain practical skills in Python programming, essential for AI and machine learning.
2. Solve real-world problems with coding exercises and projects to build a strong technical foundation.
3. Learn data analytics techniques, including working with diverse data types and mastering ETL processes for data manipulation.
4. Develop business acumen, identifying AI/ML opportunities and foundational entrepreneurship skills for tech ventures.
5. Build problem-solving skills through algorithms and data structures, essential for advanced AI/ML work.
6. Achieve a comprehensive understanding of AI branches and the data science pipeline, preparing for specialized career paths.
7. Gain project management experience with tools like GitHub and DevOps for effective team collaboration.
8. Master machine learning algorithms and deep learning techniques, building models for complex problem-solving.
9. Learn responsible AI principles, navigating ethical and regulatory aspects of AI development.
10. Apply design thinking to AI/ML challenges, encouraging creativity and innovative solutions.
11. Graduate with career-ready skills in AI, data science, and machine learning, enhancing employability in a growing field.

Duration: 16 weeks

Contact Training Hours: 6 hours per week.

Modality: Online (evening classes); 

Methodology of training: the program will utilise the following teaching methods to achieve a learner-centred learning experience and optimal use of time in training to achieve maximum output and the projected learning outcomes:

1. Interactive presentations, 
2. Teach-backs, 
3. Group work assignments and individual tasks
4. Capstone Projects

Award: Certificate in AI & Machine Learning

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