AI and ML for Decision-makers and Leaders

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