Artificial Intelligence (AI) and Machine Learning (ML) today are the most sought-after skills in the digital economy.
We find use of AI in multiple categories which include self-driving cars, web searching and speech recognition programs.
We use AI numerous times every day and the results which we will observe with the automated approaches available for human betterment and decision making.
This course includes theory, hands-on projects.
You also get practical know-how to apply the AI and ML tools and techniques and provide essential AI and ML knowledge and skills to several AI concepts and workflows.
Prerequisites:
There are no prerequisites to learn this Artificial Intelligence course. This course has been designed to cater to the understanding level of beginners. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
Course Objectives:
Upon completing this course, the learner will be able to meet these overall objectives:
- To learn about AI and its applications
- Learn about the impact and current usability of AI
- AI Industry adoption today in multiple domains and Industry.
- Understand how ML, Deep Learning and Neural Networks works with practical examples.
- Steps to build career in AI
- Learn workflows and how to implement and its methods
- Learn to implement basic artificial intelligence concepts with Python
Introduction to AI
- What is AI? Popular AI applications and examples
- AI Core Concepts, Terminology, and Application Areas
- Impact and examples
- AI use cases
AI Concept and Terminology
- Cognitive Computing
- Perception, Learning, Reasoning
- Key Application in AI
- Concept and Terminology
- Machine Learning Techniques
- Neural Networks
- Deep Learning
- Natural Language Processing, Speech, Computer Vision
- Conversational AI
Challenges of AI and Future
- Issues, Concerns and considerations
- Current thinking on the future with AI
- Utilizing Computer Vision to classify images
- The Future with AI, and AI in Action
- The AI Journey for Adopting AI Successfully
- Advice for an AI career
- Defining AI Ethics
- Understanding Ethics and Regulations & Governance
Industry Use Cases, Growth Projections
- Technology Insights and outlook
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- Machine Vision
- End-use Insights
- Healthcare
- Robot-Assisted Surgery
- Hospital Workflow Management
- Clinical Trial Participant Identifier
- BFSI
- Risk Assessment
- Financial Analysis/Research
- Law
- Retail
- Advertising & Media
- Automotive & Transportation
- Regional Insights
- Market scope Insights
Anyone who is a beginner at AI or wants to learn about AI, Students, Scientist, Engineers. This program is beneficial to professionals from a variety of industries and backgrounds. Those who are looking for a career into the field of AI and ML, who have knowledge or prior experience in programming and mathematics, and an analytical frame of mind will be added advantage.