In a rapidly evolving digital landscape, understanding the power of data and artificial intelligence (AI) is essential for driving innovation and transforming organisations. "Data and AI: Driving Digital Transformation in Organisations" is an all-encompassing course that equips you with the knowledge and skills to harness data and AI effectively. From the fundamentals of digital transformation to the intricate workings of AI and machine learning, this course guides you through the critical components of the digital age. You will explore the synergy between data and AI, delve into data governance, privacy, and ethics, and learn how to manage and scale AI within your organisation. This course also offers a glimpse into the future, revealing emerging technologies and their potential impact on various industries. Whether you're looking to lead digital transformation initiatives or simply stay ahead of the curve, this course provides the insights and practical tools you need. Step into the future of business—unlock the potential of data and AI today!

What you will learn:

At the end of this course, the learner should be able to:

• Discuss the significance of digital transformation and its role in driving growth and innovation.
• Explain the role of data in digital transformation and data-driven decision-making.
• Differentiate between data architectures, including data warehouses, data lakes, and cloud architectures.
• Define data governance and management and explain their importance in organisations.
• Outline guidelines for data privacy, security, and ethical data practices.
• Compare roles and responsibilities in effective data management within organisations.
• Describe the synergetic relationship between data and AI in driving innovation.
• Explain the principles of machine learning, including supervised, unsupervised, and reinforcement learning.
• Discuss the fundamental principles and applications of deep learning.
• Outline the design process of AI models and the importance of optimisation.
• Summarise strategies for the successful implementation and scaling of machine learning in organisations.
• Discuss emerging technologies shaping the future of data and AI, and their potential impact on industries.

Course Content:

Part 1: Decoding Digital Transformation – The Power of Change

Unit 1: Understanding digital transformation

Part 2: Data – The Driver of Digital Transformation

Unit 2: Fundamentals of data

Unit 3: Architecting data

Unit 4: Data governance and management

Unit 5: Data privacy, security and ethics

Unit 6: Managing data in organisations

Part 3: Harnessing the Potential of Data: Empowering Artificial Intelligence (AI)

Unit 7: The synergy of data and AI: Expanding possibilities and driving innovation

Unit 8: Machine learning: The key driver of AI

Unit 9: Deep learning for complex challenges

Unit 10: AI models in practice

Unit 11: Managing machine learning in a company

Part 4: Unveiling the Path Ahead

Unit 12: The evolution continues: Future directions

Note: The e-course book for this course is “Data and AI: Driving Digital Transformation in Organisations” published by Edge Learning Media, 978-1-4327-0797-2.

Who Should Attend:

• Business leaders, managers, and decision-makers looking to drive digital transformation within their organisations.
• Data professionals, IT specialists, and AI enthusiasts aiming to enhance their understanding and application of AI and data management.
• Industry professionals seeking to stay ahead of the curve by leveraging the latest in data and AI technologies.

Entry Requirements:

There are no entry requirements for this course.

Course Structure:

This course is only available in an online learning format. The course includes learning activities, videos and quizzes.

Assessments:

Learners will need to complete the online quiz for this course.

Accreditation:

This course is not accredited. This course is pitched at NQF Level 5/6.

Certification:

 A Certificate of Successful Completion will be issued upon completion of the course.

Duration:

Total Duration: 30 hours / 1 - 2 weeks per unit
Course Access: 24 weeks in total / 6 months