Machine Learning/AI Engineer

Course fee

Cost: R5 440.00

Deposit: R1 360.00

Monthly instalments: R1 020.00 x 4

Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:

• 17 courses (6h 55m) / 35 labs (35h) / 34 others (32h 40m)
• Optional additional resources are available to enhance your learning in your own time.

About the course

Course code: C01382

Course overview:

• Track 1: Introduction to Machine Learning Engineer Career Path
• Track 2: Machine Learning Fundamentals
• Track 3: Software Engineering for Machine Learning/AI Engineers
• Track 4: Intermediate Machine Learning
• Track 5: Building Machine Learning Pipelines

What are Aspire Journeys?

Aspire Journeys are guided learning paths designed and published by Skillsoft. These courses provide:

• A clear starting point across the roles and responsibilities of tomorrow.
• Exercises for on-the-job applications to put what you’ve learned into practice.
• Verifiable, shareable, and portable digital badges so you can celebrate accomplishments along the way.
• A diverse array of learning tools from the books to audiobooks to video courses, and more.

The learning path for each journey comprises tracks of content in a recommended order. Completing all content within a track completes the track. Completing all tracks within the journey completes the journey.

Modules and topics covered:

Track 1: Introduction to Machine Learning Engineer Career Path

• An Introduction to Machine Learning Engineering

Track 2: Machine Learning Fundamentals

• What is Feature Engineering?
• Regression vs Classification
• Introduction To Feature Selection Methods
• Filter Methods
• Feature Importance

Track 3: Software Engineering for Machine Learning/AI Engineers

• Git Flow
• OS Processes and Threads
• Deploying A Simple Python Script With Flask
• Github Markdown
• GitHub README File
• F1 U3 Github Pages

Track 4: Intermediate Machine Learning

• Linear Discriminant Analysis
• Implementing Regularization Methods in Python
• Introduction To Ensembling Methods
• Stacking Machine Learning Models

Track 5: Building Machine Learning Pipelines

• Machine Learning Workflows

Admission requirements

Academic grade: No minimum school pass requirements or formal prerequisites.

Language: Proficiency in English (course material and support only available in English).

Expertise level: Beginner

Equipment: Access to a PC or laptop with a reliable internet connection.

Effort: Self-paced learning online.

Accreditation status

Course type: Short course

Industry partner: Skillsoft

Certification: Certificate confirming course completion.

Certification issued by: College SA

Assessment details

Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track.

There are no external certification exams for this course.

What to expect

Dedicated support team

We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, WhatsApp and social media.

Skillsoft Learner Management System (LMS) access

Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.