Artificial Intelligence Basics for Beginners

Multiday, 07/11/2024 - 24/11/2024

Venue

Tertiary Courses Malaysia G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200

Entrance Fee

1000

Category

Science & Technology

Event Type

Class, Course, Training or Workshop

Share

Schedule

DateTime
07/11/20249:30 AM - 5:30 PM
24/11/20249:30 AM - 5:30 PM
Artificial Intelligence Basics for Beginners

Unlock the captivating world of Artificial Intelligence (AI) with Tertiary Courses' beginner-focused program. This course is tailored to impart a foundational understanding of machine learning and artificial intelligence, ensuring participants can comprehend the essence of these transformative technologies. From conceptualization to application, we ensure every learner acquires the knowledge necessary to navigate the AI landscape.

Furthermore, this course offers insights into the practical applications of machine learning and artificial intelligence. It elucidates the standard workflows adopted in AI projects, ensuring that learners are not just theoretically equipped, but also application-ready. With our expert-led sessions, we guarantee a seamless introduction to AI, setting the groundwork for future advanced explorations.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M708

Topic 1 Introduction to Artificial Intelligence (AI)

  • What is AI, Machine Learning and Deep Learning?

  • Brief History of AI

  • Catalog of AI Technologies

  • How AI Technologies Can Disrupt Businesses.

Topic 2 Potential Opportunities of AI Innovation

  • AI Use Cases in Healthcare Industry

  • AI Use Cases in Security Industry

  • AI Use Cases in Robotics Industry

  • AI Use Cases in Transport Industry

  • AI Use Cases in Manufacturing

  • AI Use Cases in Digital Marketing

Topic 3 AI Technologies

  • Introduction to Neural Network

  • Overview of Computer Vision

  • Overview of Natural Language Processing (NLP)

  • Overview of Reinforcement Learning

  • Overview of Generative Models

Topic 4. AI Adoption

  • Challenges of AI Adoption

  • Cost-Benefit Analysis of AI Implementation

Topic 5: AI Implementation

  • Success Factors of AI Implementation

  • Design Thinking Approach to AI Implementation

  • The Future Trend of AI

  • AI Ethnics