AI Essentials Bridging Technology and Everyday Life

In today's rapidly evolving technological landscape, understanding Artificial Intelligence (AI) is no longer a luxury but a necessity. AI is transforming industries, enhancing productivity, and driving innovation. For businesses and individuals alike, gaining knowledge in AI is critical to staying competitive and relevant. The course AI Essentials Bridging Technology and Everyday Life offers an invaluable opportunity to demystify AI and harness its potential in both professional and personal contexts.

AI is integrated into many aspects of our daily lives, from personalized recommendations on streaming services to intelligent customer service chatbots. By understanding AI, you can leverage these technologies to improve business operations, optimize decision-making, and create more efficient processes. Moreover, the ethical considerations and societal impacts of AI are profound, making it essential to approach this technology with informed and thoughtful perspectives.

These are the common issues that non-tech individuals always encounter:

Lack of Understanding of AI Technologies: Many individuals and teams struggle with understanding the fundamental concepts and applications of AI, leading to a gap in leveraging AI effectively.
Difficulty in Identifying AI Applications in Business: Businesses often find it challenging to identify where and how AI can be applied to improve operations and drive innovation.
Concerns About Ethical and Workforce Impacts of AI: There is widespread concern about the ethical implications of AI, including issues of bias, privacy, and the future of work.

Training Duration: 2 Days

SBL-Khas Claimable
Certificate Of Completion Available
Private In-House Class Available
ILT & VILT Class Available

Download Course Outline

AI4E: AI Essentials Bridging Technology and Everyday Life

RM2,699.00

RM1,889.00

Artificial Intelligence (AI) is no longer a concept confined to science fiction movies or academic research papers. It is a driving force behind many of the technologies we use daily, from voice-activated virtual assistants to recommendation systems on streaming platforms. AI is revolutionizing industries by automating tasks, enhancing decision-making, and unlocking new capabilities that were previously unimaginable.

In this course, we will explore the fascinating world of AI, demystifying its core concepts and showcasing its real-world applications. Whether it's recognizing objects in images, understanding human language, or making strategic decisions, AI is at the forefront of innovation, making it an essential field to understand in today's technology-driven world.
By the end of this training, participants will be able to:

Understand the basic concepts and terminologies of AI.

Recognize the significance and applications of AI in various industries.

Comprehend the differences and functionalities of key AI technologies like CNNs,

RNNs, Computer Vision, NLP, Reinforcement Learning, and Generative Models.

Appreciate the potential and challenges associated with AI technologies.

Engage in informed discussions about AI trends and prospects.

Understand the ethical considerations and challenges in AI adoption.

Assess the impact of AI on the global workforce and cost-benefit aspects of AI Implementation
No prior technical knowledge is required.

A curious mind and a willingness to learn.

Basic understanding of how technology impacts daily life.
This training course is intended for:

Managers and consultants seeking to know more about information security controls of ISO/IEC 27002

Professionals engaged in or responsible for information security management.

Individuals seeking to gain knowledge about the main processes of an information security management system and information security controls.

Individuals interested to pursue a career in information security.
Module 1: Introduction to AI

Definition and History of AI

Key Concepts and Terminologies

Importance of AI in Today's World

Module 2: Core AI Technologies

Machine Learning

Basics of Machine Learning

Supervised vs. Unsupervised Learning

Examples of Machine Learning in Action

Deep Learning

Introduction to Neural Networks

Overview of Deep Learning

Module 3: Convolutional Neural Networks (CNNs)

What are CNNs?

How CNNs Work: Layers and Filters

Applications of CNNs in Image Recognition and Computer Vision

Fun Demo: Real-Time Object Recognition

Module 4: Recurrent Neural Networks (RNNs)

What are RNNs?

Understanding Sequences and Time-Series Data

Applications of RNNs in Language Processing and Predictive Text

Fun Demo: Generating Text with RNNs

Module 5: Computer Vision

Introduction to Computer Vision

Key Techniques: Image Processing, Object Detection, and Image Segmentation

Real-World Applications: Autonomous Vehicles, Medical Imaging

Fun Demo: Face Detection and Recognition

Module 6: Natural Language Processing (NLP)

What is NLP?

Key Components: Tokenization, Sentiment Analysis, and Machine Translation

Applications of NLP: Chatbots, Virtual Assistants, and Language Translation

Fun Demo: Chatbot Interaction

Module 7: Reinforcement Learning

Basics of Reinforcement Learning

Concepts: Agents, Actions, Rewards, and Environment

Applications: Game Playing, Robotics, and Recommendation Systems

Fun Demo: AI Playing a Simple Game

Module 8: Generative Models

Introduction to Generative Models

Types: Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)

Applications: Image Generation, Music Composition, and Text Creation

Fun Demo: Creating Artwork with GANs

Module 9: AI in Everyday Life

AI in Healthcare

AI in Finance

AI in Entertainment

AI in Smart Homes and Cities

Module 10: Ethical Considerations and Challenges

Ethical Issues in AI: Bias, Privacy, and Accountability

The Future of Work and AI

How to Stay Informed and Engaged with AI Developments

Module 11: AI Adoption

Challenges in AI Adoption

Cost-Benefit Analysis of AI Implementation

Case Studies of Successful and Challenged AI Projects

Module 12: Impact on the Global Workforce

How AI is Changing Job Roles

Skills Required for the AI-Driven Future

Strategies for Workforce Transition and Upskilling

Module 13: Conclusion and Q&A

Recap of Key Learnings

Open Floor for Questions and Discussions

Resources for Further Learning

This course is designed to bridge the gap between the complexity of artificial intelligence and the everyday lives of non-technical individuals. In today's era, where technology permeates every aspect of our lives, understanding AI is no longer a luxury but a necessity. AI is not just a buzzword; it is the engine driving innovations across industries, transforming how we work, live, and interact with the world around us.

By demystifying AI and its key technologies, this course empowers participants with the knowledge to appreciate the profound impact of AI. It highlights both the opportunities and challenges posed by AI, preparing individuals to engage in informed discussions and make thoughtful decisions in an increasingly AI-driven world. As we move forward, a fundamental understanding of AI will be crucial for navigating the future, fostering innovation, and ensuring that the benefits of AI are accessible to all. This course is an essential step in that journey, equipping participants with the tools to understand and leverage the transformative power of AI in their personal and professional lives.

AI4E: AI Essentials Bridging Technology and Everyday Life

OVERVIEW

OBJECTIVES

PREREQUISITES

AUDIENCE

COURSE MODULES

Private in-house class enquiry

Contact