Artificial Intelligence is one of the most talked-about topics in recent times. And with good reason! It has the potential to fundamentally change the way we live, work, and play. If you're new to this topic, or just want to brush up on your skills, take a look at our top picks for the best online AI courses for beginners and experts. Whether you're a beginner who wants to learn general AI concepts, or an expert who wants to learn more advanced methods, these courses have everything you need!
The Best Online Artificial Intelligence Courses
Is AI course available in India?
Yes, there are a number of AI courses that are available online in India. Depending on your level of expertise, you can choose from courses that are tailored specifically for beginners, or courses that are more advanced and geared towards experts. Whether you are looking to start learning AI for the first time, or want to gain a deeper understanding of the subject, an online course will offer you the perfect opportunity.
Artificial Intelligence Course Details
If you are interested in learning about artificial intelligence (AI), then you will want to consider taking a course from one of the many online providers. AI courses can teach you about the history of AI, different types of AI, how AI is used in business, and more. You will also learn how to create and use AI applications.
There are many different AI courses available, so it is important to choose the one that is the right fit for your needs. Some of the most popular AI courses include Udacity's AI for Data Science Nanodegree, OpenAI's AI Development Academy, and Coursera's Machine Learning with Artificial Intelligence specialization.
Once you have completed your AI course, be sure to put it to use! Use it to improve your business, learn new information, or just have fun. AI is a very powerful tool that can help you to achieve your goals in life.
Artificial Intelligence Course Syllabus?
There is no one-size-fits-all answer to this question, as the syllabus for an artificial intelligence course will vary depending on the instructor, course, and institution. That said, some of the most common topics covered in AI courses include machine learning, natural language processing, and computer vision. Additionally, many AI courses include a section on ethics and the impact of AI on society. So, if you are interested in pursuing a career in AI, it is important to research the specific requirements of the program you are interested in.
List of The Best Online Artificial Intelligence Courses
(1) AI For Everyone (By DeepLearning.AI)
About :
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.
In this course, you will learn:
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
Skills You Will Gain :
Workflow of Machine Learning projects
AI terminology
AI strategy
Workflow of Data Science projects
Syllabus :
1. What is AI?
- Introduction
- Machine Learning
- What is data?
- The Terminology of AI
- What makes an AI company?
- What Machine Learning can and cannot do
- More example of what machine learning can and cannot do
- Non-technical explanation of deep learning (part - 1)
- Non-technical explanation of deep learning (part - 2)
2. Building AI Projects
- Introduction
- Workflow of a machine learning project
- Workflow of a data science project
- Every job function needs to learn how to use data
- How to choose an AI project (Part 1)
- How to choose an AI project (Part 2)
- Working with an AI team
- Technical tools for AI teams (optional)
3. Building AI In Your Company
- Introduction
- Case study: Smart speaker
- Case study: Self-driving car
- Example roles of an AI team
- AI Transformation Playbook (Part 1)
- AI Transformation Playbook (Part 2)
- AI pitfalls to avoid
- Taking your first step in AI
- Survey of major AI application areas (optional)
- Survey of major AI techniques (optional)
4. AI and Sociaty
- Introduction
- A realistic view of AI
- Discrimination / Bias
- Adversarial attacks on AI
- Adverse uses of AI
- AI and developing economies
- AI and jobs
- Conclusion
(2) Introduction Of Artificial Intelligence (AI) (By IBM)
About :
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
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.
Skills You Will Gain :
Data Science
Deep Learning
Artificial Intelligence (AI)
Jobs
Machine Learning
Syllabus :
1. What is AI? Applications and Examples of AI
- Introducing
- 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
2. AI Concepts, Terminology, and Application Areas
- Cognitive Computing (Perception, Learning, Reasoning)
- Terminology and Related Concepts
- Machine Learning
- Machine Learning Techniques and Training
- Deep Learning
- Neural Networks
- Key Fields of Application in AI
- Natural Language Processing, Speech, Computer Vision
- Self Driving Cars
3. AI: Issues, Concerns and Ethical Considerations
- Issues and Concerns aroumd AI
- AI and Ethical Concerns
- AI and Bias
- AI: Ethics, Bias, and Trust
- Jobs and AI
- Employment and AI
4. The Future with AI, and AI in Action
- The Evolution and Fututre of AI
- Future with AI
- The AI Ladder - The Journey for Adopting AI Successfully
- Advice for a career in AI
- Hotbeds of AI Innovation
- Tanmay’s Advice to Learn AI
- Polong’s Advice for a Job in AI
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