Phoenix Campus Ambassadorship ML Masterclass

Machine Learning Masterclass - 2026

Objective: Equip participants with the ability to import, clean, and preprocess data, perform feature engineering, build machine learning models, and generate accurate predictions for real-world outcomes.

Why it matters

1.      High Demand and Career Opportunities: ML skills are in high demand across industries like tech, finance, healthcare, and retail. Roles include ML engineer, data scientist, AI researcher, and more.

2.      Work on Cutting-Edge Technology: Learning ML lets you work on AI, computer vision, NLP, and autonomous systems, fields that are shaping the future.

3.      Solve Real-World Problems: ML empowers you to create solutions for real challenges: predicting disease outbreaks, detecting fraud, optimizing logistics, or personalizing user experiences.

4.      Competitive Advantage: Understanding ML gives you an edge in the job market and helps you make data-driven decisions in any role, not just tech-specific positions.

5.      Interdisciplinary Applications: ML applies to almost every field; finance, healthcare, marketing, robotics, agriculture, and even creative arts like music and gaming, expanding your career flexibility.

6.      Continuous Learning and Innovation: ML is evolving rapidly. Learning it cultivates problem-solving, critical thinking, and keeps you at the forefront of technological innovation.

Prerequisites

1.      Conceptual Foundation: Basic Python Knowledge (capable of functions).

2.      Platform Access: A computer with at least 4 GB RAM.

Machine Learning Masterclass Course Outline

Meet our trainer

Anthony Adungo is a Data Engineer at Velocity Software Ltd, where he currently leads the Marketing Automation Department. He brings extensive experience across Finance, User Experience Design, Marketing, Data Science, and Data Engineering, combining technical expertise with strategic insight to drive data-driven solutions and business growth.