Introduction to Artificial Intelligence (AI)
This course provides a comprehensive introduction to AI, covering fundamental concepts, use cases, ethical considerations, and career guidance. No prior programming or technical background required. Includes a hands-on mini project to demonstrate AI in action.
per person
Level
Duration
Training Delivery Format
Face-to-face / Virtual Class
per person
Level
Duration
Training Delivery Format
Face-to-face (F2F) / Virtual Class
Class types
Public Class
Private Class
In-House Training
Bespoke
About this course
This course offers the opportunity to grasp the fundamentals of Artificial Intelligence (AI) regardless of your technical background.
Throughout the course, you will gain knowledge about AI, delve into its use cases and applications, and develop an understanding of key AI concepts such as machine learning, deep learning, and neural networks. Additionally, you will explore various issues and considerations related to AI, including ethics, bias, job implications, and receive expert guidance on learning and embarking on a career in AI.
Furthermore, you will have the chance to showcase AI in action through a hands-on mini project. It is important to note that this course is designed to be accessible to individuals without any prior programming or computer science expertise.
Learning Outcome
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Understand what is AI, its applications and use cases and how it is transforming our lives
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Explain terms like Machine Learning, Deep Learning and Neural Networks
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Describe several issues and ethical concerns surrounding AI
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Articulate advice from experts about learning and starting a career in AI
Prerequisites
This course is for everyone. No prior backround in computer science or programming is necessary.
Course Content
What is Artificial Intelligence (AI)? Applications and Examples of AI
- Introducing AI
- What is AI?
- Optional: Tanmay’s journey and take on AI
- Impact and Examples of AI
- Optional: Application Domains for AI
- Some Applications of AI
- Optional: More Applications of AI
- Famous applications of AI from IBM
Artificial Intelligence (AI) Concepts, Terminology, and Application Areas
- Cognitive Computing (Perception, Learning, Reasoning)
- Terminology and Related Concepts
- Machine Learning4mMachine Learning Techniques and Training
- Deep Learning2mNeural Networks
- Key Fields of Application in AI
- Natural Language Processing, Speech, Computer Vision
- Self Driving Cars
Artificial Intelligence (AI): Issues, Concerns and Ethical Considerations
- Exploring Today’s AI Concerns
- Exploring AI and Ethics
- Defining AI Ethics
- Understanding Bias and AI
- AI Ethics and Regulations1mAI Ethics, Governance, and ESG
The Future with Artificial Intelligence (AI), and AI in Action
- The evolution and future of AI
- Future with AI
- The AI Ladder – The Journey for Adopting AI Successfully2mAdvice for a career in AI
- Hotbeds of AI Innovation3mTanmay’s Advice to Learn AI
- Polong’s Advice for a Job in AI

At this time, this course is available for private class and in-house training only. Please contact us for any inquiries.