Turning Point

Delivery Methods

LIVE VIRTUAL TRAINING

Join interactive sessions via Zoom/Teams. Engage with trainers and peers in real-time, access recordings post-session, and complete hands-on activities remotely. Ideal for global teams or those seeking flexibility.

FACE-TO-FACE ON-SITE TRAINING

Experience immersive learning at your organization or our training center. Benefit from in-person networking, practical demonstrations, and tailored group exercises. Perfect for team-building and role-specific skill development.

Course Overview

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries by enabling smarter decisions, automation, and innovation at scale. This course introduces the core concepts, applications, and strategic implications of AI and ML for organizations. Participants will explore how these technologies work, where they can be applied, and the opportunities and risks they present. Designed for both technical and non-technical professionals, the program combines practical demonstrations with business case studies, equipping learners to leverage AI and ML to drive growth, efficiency, and competitive advantage.

Course curriculum

Module 1: Introduction to AI & ML — Key concepts, history, and industry impact

Module 2: Machine Learning Techniques — Supervised, unsupervised, and reinforcement learning

Module 3: AI Applications in Business — Case studies from finance, healthcare, retail, and manufacturing

Module 4: Data for AI — Preparing, managing, and using data for machine learning models

Module 5: Tools & Technologies — Overview of popular AI platforms and frameworks

Module 6: Risks, Ethics, and Governance — Responsible AI practices and regulatory considerations

Module 7: AI Strategy and Integration — Aligning AI initiatives with business goals

Module 8: Future of AI — Emerging trends, opportunities, and challenges

Key Takeaways

What I will learn?

  • Understand AI and ML fundamentals and terminology
  • Identify practical applications across industries and business functions
  • Differentiate between supervised, unsupervised, and reinforcement learning
  • Assess opportunities and risks of AI adoption
  • Apply ethical and governance considerations in AI projects
  • Use case studies to connect AI/ML to business performance
  • Explore emerging trends shaping the future of AI

Who should attend this course?

Target Audience

  • Business leaders and executives exploring AI strategy
  • Data analysts, IT managers, and digital transformation officers
  • Innovation and R&D professionals
  • Consultants and solution architects
  • Professionals seeking to upskill in AI and ML concepts

Do You still need more help? contact our Program Enrollment Specialist

Nada Al-Awfi

Reply “JOIN

Artificial Intelligence & Machine Learning

” to get started!

General FAQ

Are there any prerequisites to join?

Most courses are open-entry and require no prior training. For advanced or technical programs, we may recommend specific background knowledge or work experience, which will be stated in the course outline.

Yes. Upon successful completion, participants receive a Turning Point Training Institute Certificate of Completion, issued and attested by the KHDA (Knowledge and Human Development Authority) upon request. For customized on-the-job programs, participants may also earn CPD-accredited points, recognized by professional bodies internationally, also upon request.

Our courses are built for real-world impact through an On-the-Job Training (OJT) delivery model. We focus on field-relevant skills, actual workplace scenarios, and job-specific outcomes—ensuring participants apply what they learn directly within their day-to-day roles. Training is not limited to the classroom; it’s embedded into real tasks, real tools, and real-time operations to maximize relevance and retention.

In select cases, participants may be able to use their training experience as part of a Prior Learning Assessment (PLA) process to earn academic credit at a university. Turning Point acts as a facilitator—we help you document your learning, align it with academic standards, and prepare submissions. However, we do not guarantee credit transfer. Final decisions rest entirely with the admitting university, based on its internal criteria, policies, and case-by-case evaluation.

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