AI Empowerment

Unlock the potential of artificial intelligence with our expertly crafted course designed to empower you with cutting-edge knowledge. Dive into the world of machine learning, deep learning, natural language processing, and more under the guidance of industry experts. Explore strategic integration techniques for business transformation while addressing ethical considerations crucial to responsible AI deployment. Enroll now to harness the power of AI for innovation and operational excellence.

Face-to-Face Sep 22-23, 2025 9:00 AM - 5:00 PM Tarun Sukhani
updated
beginner
AI Empowerment
We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 4800
Material Fees: MYR 400
Total Fees: MYR 5200

Features

2 days
14 modules
4 intakes
Full life-time access
English

Subsidies

HRDC Claimable logo

What you'll learn

  • Identify practical applications of AI across different industries including healthcare and finance.
  • Explore various subfields such as machine learning, deep learning, NLP, and computer vision.
  • Prepare your workforce for AI adoption by fostering necessary skills and competencies.
  • Develop strategies for integrating AI into organizational processes responsibly.
  • Understand the fundamental concepts and historical evolution of artificial intelligence.
  • Address ethical considerations related to bias, fairness, privacy, and governance in AI systems.
  • Gain proficiency in using popular AI tools and platforms through hands-on experience.

Why should you attend?

This course offers an in-depth exploration of artificial intelligence, starting with a foundational understanding of its definition and scope. Participants will journey through the historical evolution of AI, highlighting key milestones that have shaped its development. The course also provides a comparative analysis between AI and human intelligence, setting the stage for deeper insights into this transformative technology. Delving into the subfields and technologies of AI, learners will explore machine learning techniques such as supervised, unsupervised, and reinforcement learning. The intricacies of deep learning and neural networks are examined alongside natural language processing (NLP) and computer vision, equipping participants with a comprehensive understanding of these critical areas. The course further investigates practical applications of AI across various industries. From healthcare to finance and transportation, real-world use cases illustrate how AI is revolutionizing diagnosis, fraud detection, algorithmic trading, autonomous vehicles, and more. Strategic integration sessions guide learners on identifying opportunities within their organizations and developing effective AI strategies. Ethical considerations are paramount in AI deployment; thus, the course addresses issues like bias, fairness, privacy concerns, and regulatory frameworks. Additionally, it covers data analytics' role in AI-driven decision-making and innovation in product development and customer experience enhancement. Participants will gain insights into building an AI-ready culture by preparing their workforce with necessary skills and competencies while managing change effectively. Practical sessions on AI tools and platforms provide hands-on experience with popular frameworks. Finally, future trends in AI are discussed to prepare learners for upcoming challenges and opportunities.

Course Syllabus

Day 1 - AI Foundations and Strategy
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Day 2 - AI Implementation and Future
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Minimum Qualification

basic IT

Target Audience

students
entry level
engineers
mid level managers
senior managers

Methodologies

lecture
slides
case studies
group assignment
group discussion
q&A

FAQs

Why should you attend?

This course offers an in-depth exploration of artificial intelligence, starting with a foundational understanding of its definition and scope. Participants will journey through the historical evolution of AI, highlighting key milestones that have shaped its development. The course also provides a comparative analysis between AI and human intelligence, setting the stage for deeper insights into this transformative technology. Delving into the subfields and technologies of AI, learners will explore machine learning techniques such as supervised, unsupervised, and reinforcement learning. The intricacies of deep learning and neural networks are examined alongside natural language processing (NLP) and computer vision, equipping participants with a comprehensive understanding of these critical areas. The course further investigates practical applications of AI across various industries. From healthcare to finance and transportation, real-world use cases illustrate how AI is revolutionizing diagnosis, fraud detection, algorithmic trading, autonomous vehicles, and more. Strategic integration sessions guide learners on identifying opportunities within their organizations and developing effective AI strategies. Ethical considerations are paramount in AI deployment; thus, the course addresses issues like bias, fairness, privacy concerns, and regulatory frameworks. Additionally, it covers data analytics' role in AI-driven decision-making and innovation in product development and customer experience enhancement. Participants will gain insights into building an AI-ready culture by preparing their workforce with necessary skills and competencies while managing change effectively. Practical sessions on AI tools and platforms provide hands-on experience with popular frameworks. Finally, future trends in AI are discussed to prepare learners for upcoming challenges and opportunities.

What you'll learn

  • Identify practical applications of AI across different industries including healthcare and finance.
  • Explore various subfields such as machine learning, deep learning, NLP, and computer vision.
  • Prepare your workforce for AI adoption by fostering necessary skills and competencies.
  • Develop strategies for integrating AI into organizational processes responsibly.
  • Understand the fundamental concepts and historical evolution of artificial intelligence.
  • Address ethical considerations related to bias, fairness, privacy, and governance in AI systems.
  • Gain proficiency in using popular AI tools and platforms through hands-on experience.

Course Syllabus

Day 1 - AI Foundations and Strategy
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Day 2 - AI Implementation and Future
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 4800
Material Fees: MYR 400
Total Fees: MYR 5200

Features

2 days
14 modules
4 intakes
Full life-time access
English

Subsidies

HRDC Claimable logo

Minimum Qualification

basic IT

Target Audience

students
entry level
engineers
mid level managers
senior managers

Methodologies

lecture
slides
case studies
group assignment
group discussion
q&A

FAQs

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