AI training

AI for Non-Tech Professionals

Adding value with our service portfolio

Adding value with our service portfolio

ABOUT THE COURSE 

According to recent reports, the global AI market is projected to reach a staggering $190.61 billion by 2025, with industries such as manufacturing, engineering, healthcare, finance, retail, and transportation leading the way in AI adoption. Moreover, AI-powered technologies are already transforming industries, with chatbots improving customer service, machine learning algorithms optimizing supply chains, and deep learning enabling breakthroughs in areas such as computer vision and natural language processing. 

This course will outline the growth of AI, the latest technologies and trends in AI, the major drivers for growth in AI across various verticals, introduce AI with various tools, both code and no-code and provide a practical experience of how to create simple Machine Learning and Deep Learning Models to solve business problems. 

Duration: 1 Day

Language: English

WHAT WILL YOU LEARN FROM THE COURSE?

At the end of the course, participants will be able to:

  • Understand the emergence of Artificial Intelligence
  • Understand the components of Artificial Intelligence
  • Get a know-how of how AI can be used in various business cases
  • Learn key AI technologies that are currently showing market traction
  • Understand the growth of AI in various verticals
  • Get hands-on exposure to get a look and feel of how AI can be implemented

Topics to be covered in this course include: 

 

  • Module 1
    • Introduction to Artificial Intelligence and its backbone
    • Emerging Tools and Trends in Artificial Intelligence
    • Discussing the major drivers for the growth of AI in various verticals
  • Module 2
    • General and industrial use cases of AI – showcasing successful AI deployments and their advantages
    • Common and advanced AI examples that can be applied to the industry across:
      • Natural Language Processing
      • Computer Vision
      • Machine Learning
      • Recommendation Systems
    • Convergence of traditional business and artificial intelligence – how it can benefit an organisation.
  • Module 3
    • Understanding the code and no-code tools in the market for AI and its branches
    • Learning how to craft an AI architecture or blueprint for business cases
    • Understand the different types of machine learning
  • Module 4
    • Hands-on with creating simple machine learning prototype models using no-code and code-based tools
    • Segmentation using Unsupervised Learning
    • Prediction Models using Supervised Learning
    • Demonstration of Deep Learning and other popular and other popular models
    • Creating an AI-driven mindset

 

WHAT IS THE COURSE METHODOLOGY?

Participants will learn through lectures, case studies, group exercises, hands-on exercises and discussions. The course will be conducted in face-to-face or in a virtual format with a duration of 8 hours. 

WHO SHOULD TAKE THE COURSE? 

 This course is specially designed for:

  • Professionals from companies looking to integrate AI into their organisational processes
  • Any others interested in learning about Artificial Intelligence and how it can be used in day-to-day processes

Prerequisite: No prerequisite knowledge of AI is required.

WHO IS THE COURSE ADVISOR?

The course content and structure are designed by the domain experts from TÜV SÜD.

With immense experience and knowledge in the relevant standards, our team of product specialists and technical experts at TÜV SÜD, developed the course content based on current business landscape and market requirements.

  • What are the benefits of enrolling in this course?
    • Participants will gain a deep understanding of the emergence of Artificial Intelligence, allowing them to comprehend the historical context and evolution of AI.
    • They will grasp the fundamental concepts and principles that underpin AI, enabling them to engage with the subject matter more effectively.
    • The course will cover the various components of Artificial Intelligence, including machine learning, natural language processing, computer vision, and more. By understanding these components, participants will develop a holistic view of AI, enabling them to identify and utilize the right tools and techniques for different applications.
    • Participants will explore how AI can be applied to various business cases. They will learn about real-world examples and success stories of leveraging AI to drive innovation, improve efficiency, and gain a competitive edge.
    • The course will highlight the key AI technologies currently gaining market traction. 
    • Participants will gain insights into the growth and impact of AI across various industry verticals. 
    • The course offers a hands-on approach, allowing participants to gain practical exposure to implementing AI solutions. 

 

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