AI and ML for Decision-makers and Leaders

Course fee

Cost: R1 680.00

Deposit: R420.00

Monthly instalments: R420.00 x 3

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

• 18 courses (12h 4m) 
• Optional additional resources are available to enhance your learning in your own time.

About the course

Course code: C01339

Course overview:

The AI/ML for decision-makers journey is designed to educate leaders on the fundamentals of artificial intelligence and machine learning. The journey covers a wide range of topics, including the basics of AI, the potential applications and high impact use cases of AI, and the ethical considerations involved in implementing AI solutions, visualising data for impact, and steps involved in designing the best AI strategy for their organisation. This journey also focuses on educating leaders on various AI/ML techniques to unlock tremendous value in their data through improved customer service, streamlined business operations, and the realisation of new business models and opportunities.

Participants will also learn about the latest trends and advancements in the field, and various myths and misconceptions about AI. The program is designed to provide decision-makers with the knowledge and skills they need to effectively leverage AI to drive business, coordinate the Data Scientists during their prototyping phase, and design the best suitable AI strategy and AI teams to capture value for their organisations.

By the end of the journey, participants will have a deep understanding of AI and its potential and will be well-equipped to make informed decisions about how to integrate AI into their organisations.

The tracks you will cover are:

• Track 1: Fundamentals of AI and ML
• Track 2: Developing an AI/ML Data Strategy
• Track 3: Visualizing Data for Impact
• Track 4: Cloud Computing and MLOps in AI/ML

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: Fundamentals of AI and ML

• Fundamentals of AI & ML: Foundational Data Science Methods
• Fundamentals of AI & ML: Advanced Data Science Methods
• Fundamentals of AI & ML: Introduction to Artificial Intelligence
• Fundamentals of AI & ML: Metrics & Evaluation

Track 2: Developing an AI/ML Data Strategy

• Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
• Developing an AI/ML Data Strategy: Building an AI-powered Workforce
• Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
• Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
• Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI
• Developing an AI/ML Data Strategy: Data Management & Governance in AI

Track 3: Visualizing Data for Impact

• Visualizing Data for Impact: Introduction to Data Visualization
• Visualizing Data for Impact: Visual Design Theory
• Visualizing Data for Impact: Analyzing Misleading Visualizations
• Visualizing Data for Impact: Data Storytelling

Track 4: Cloud Computing and MLOps in AI/ML

• Cloud Computing and MLOps: Cloud and AI 
• Cloud Computing and MLOps: Introduction to MLOps 
• Cloud Computing and MLOps: ML Pipelines 
• Final Exam: AI and ML for Decision-makers 

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.