Learn Machine Learning in 8 Weeks
Our Machine Learning Certification Program is a comprehensive, industry driven training designed to equip students with practical, job ready skills in Artificial Intelligence and Data Science. As businesses worldwide adopt AI powered systems, the demand for skilled Machine Learning engineers and data professionals continues to rise especially in emerging tech hubs across Nigeria and Africa.
We carefully structured to take students from beginner level to advanced Machine Learning practitioner within 24 intensive classes. Whether you are a student, graduate, entrepreneur, software developer, or career switcher, this course provides the knowledge and hands-on experience required to build intelligent systems that solve real world problems.
We emphasize practical implementation over theory alone. Students work with real datasets, build predictive models, perform data analysis, and deploy machine learning solutions just like professionals in the tech industry.
If you are searching for:
The best Machine Learning course in Nigeria
AI and Data Science training in Ibadan
A practical Machine Learning certification program
Hands on ML training with deployment skills
Overview
- Modules 36
- Quizzes 8
- Duration 8 Weeks
- Skill level Advance
- Language English
- Students 32
- Assessments Yes
- Live Class Yes
Course Description
Our Machine Learning program is designed to take students from beginner level to job ready professional through practical, step by step training.
The course begins with the fundamentals of Artificial Intelligence, Machine Learning, and Python programming. Students learn how to work with data using tools like NumPy and Pandas, visualize data, and understand the basic statistics required for machine learning.
Next, students move into building predictive models using techniques such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Nearest Neighbors, and Support Vector Machines. They also learn how to evaluate and improve model performance.
The program then covers pattern discovery techniques like clustering, dimensionality reduction, and anomaly detection. Students are introduced to neural networks and modern AI systems, including an overview of Deep Learning.
Finally, students learn how to deploy machine learning models into real world applications, build APIs, and complete a capstone project that showcases their skills.
The entire program focuses on hands on practice, real world datasets, and practical problem solving.
Learning Outcomes
By the end of this program, students will be able to:
Write Python code for data analysis and machine learning
Clean, analyze, and visualize real-world datasets
Build and evaluate machine learning models
Apply both supervised and unsupervised learning techniques
Understand the basics of neural networks and AI systems
Deploy machine learning models into functional applications
Complete a real-world capstone project
Build a professional portfolio for job opportunities
Certification
Your certification will be based on your ability to applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights. The certificate will portraite you as a professional Machine Learning Engineer.
Career Opportunities
Graduates will be prepared for entry-level roles such as:
Machine Learning Engineer
Data Analyst
AI Developer
Business Intelligence Analyst
Course Curriculum
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Introduction to Machine Learning -
What is Machine Learning?
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AI vs ML vs Deep Learning?
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Types of ML (Supervised, Unsupervised, Reinforcement)
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Real world applications
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ML lifecycle
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Python for ML -
Variables, loops, functions
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Lists, dictionaries
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Working with files
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Basic scripting
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Instructor (s)
Afolabi Faruq (Lead Instructor)
Programmer & AI ExpertFaruq Afolabi is a Programmer & AI expert who practice what he does best at VOKS Technologies since 2022. He now have over 4+ years of working experience
Paul Adeymi
Data Analyst & AI ExpertPaul Adeymi is a Data Analyst, Data Scientist and a AI expert who practice what he does best at VOKS Technologies since 2022. He now have over 4+ years of working experience
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