Do These Best Artificial Intelligence Courses Right Now And Boost Your Career

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"Alexa, What is the weather today?" She says that it’s 27 degrees celsius in Mumbai. But, then you think how is it even possible for a machine to respond to you as if you were talking to a human. The answer to this question belongs to the realm of Artificial Intelligence(AI). 

Artificial Intelligence (AI) is a part of Computer Science that enables a machine such as a computer to perform tasks that require human-like intelligence. As mentioned above, Alexa is an example of AI technology along with other assistants like Google Assistant, Siri, Bixby, etc. Also, to make the point more clear, consider Netflix, let’s say you watch a movie, after that you see a myriad of suggestions showing movies that you might like. These recommendations are based on AI.

Application of AI

The main applications of AI are found in Health Care, Banking, Business, Science, etc. We will talk about major applications across different verticals which include:

Best Artificial Intelligence Courses

We are providing you with a list of the 10 best certifications in AI. This list gives you an idea about various courses with specifications, prerequisites, rating and price. You can opt for any one of these but make sure you complete it thoroughly. 

1. AI for Everyone

This online program is offered by DeepLearning.AI and it is published on Coursera. This course is taught by Andrew Ng, who is one of the top instructors on the platform. The best thing about this course is that whether you are an engineer or not, you can study this course as no prerequisites are required. Now, let’s look at the popularity of the course.

Key Takeaways:

1. Workflow of Machine Learning projects
2. AI terminology
3. AI strategy
4. Workflow of Data Science projects

2. Artificial Intelligence Program with Python

Udacity is conducting this online program on its website. This course is an excellent blend of theoretical and practical knowledge. You will get a complete understanding of the basics of AI. Here, you will get an opportunity to build your own neural network by learning Python, NumPy, pandas, Matplotlib, PyTorch, understanding of Calculus, and Linear Algebra. Let’s look at some of the important numbers.

Benefits of this course:

1. Real-world projects from industry experts
2. Technical mentor support for projects or queries
3. Career services for candidates
4. Flexible learning program

 3. Artificial Intelligence Graduate Program

This is a graduate program by the Stanford School of Engineering. This is a fast-paced course suited only for engineers, who can demonstrate technical prowess. There is a list of prerequisites given below so that you can read the topics before enrolling on this course.

Prerequisites

1. Fundamental Understanding of Statistics and probability, Linear Algebra and Calculus. 
2. Students should also have significant programming experience in Java, C++, Python or similar programming languages.
3. A recognized Bachelor’s degree with an undergraduate GPA of 3.0 or better.

 Course Topics

1. Logic and Knowledge representation
2. Probabilistic Models
3. Machine Learning

Time to Complete Certificate

1. The average time taken by candidates is 1-2 years.
2. The maximum time given is 3 years.

4. AI & Machine Learning Engineering

This certification is available on the Springboard platform. It is a six-month online program with one-to-one mentorship for helping students facing any difficulty. This course is student-friendly as it has many merits such as mentorship, career support and hands-on experience.

The full tuition fee of the program is $11,280. If you pay upfront, you will get an 11% discount, as per the website’s data.

Eligibility Criteria

1. You should be 18 years or older in age.
2. You should hold a Bachelor’s degree from any educational institution in any subject, which is a requirement by most employers.
3. You should be able to demonstrate coding experience with at least one of the following: a software engineering degree or at least a year of work experience in the software engineering domain.
4. You must be proficient in spoken and written English.

You’ll get to learn

1. Important Machine Learning concepts like Clustering, Classification, cross-validation, etc.
2. Important Regression models like linear and logistic regression.
3. Classification modelling with k-nearest neighbours, decision tree and support vector machines.
4. Recommendation systems like the ones that Netflix uses to recommend movies and time series, prediction models.

5. Introduction to Artificial Intelligence with Python by EdX Platform

This course is hosted on the EdX platform, with instructors from the renowned Harvard University. There are two professional and highly qualified instructors to help you, namely, David J.Malan and Brian Yu. This course is a self-paced one so you can proceed as per your learning pace.

Course Topics

1. Knowledge representation
2. Bayesian networks
3. Machine Learning(ML)
4. Logical inference
5. Probability theory

6. The Beginner’s Guide to AI in Unity

If you are interested in Game development, then this course is for you. To register, you can use the Udemy platform and pay the fees, which is Rs 700 currently. But, you should first, look at the requirements for this course.

After this course, you will:

1. Know the use of AI in gaming
2. Would be able to apply concepts like Vector, waypoints, etc.
3. Would be able to work with animated characters and vehicles.

7. Artificial Intelligence for Trading Nanodegree (Udacity)

It is a 6-month program on Udacity that focuses on using AI algorithms for financial decision-making, which is helpful for companies. This course is for those who like finance and also have some prior experience in Python Programming.

Requirements:

1. Python
2. Mathematics

Key Features:

1. Focused overview of financial AI domain
2. Gives you advance trading knowledge
3. Help by financial industry experts
4. Price: ₹22849 per month
5. Rating: 4.6 for over 700 people
6. Nano-degree on completion
7. On average, successful students take 6 months to complete this program.

Topics covered:

1. Quantitative Trading- Basics and Advanced
2. Factor Investing and Alpha research 
3. Sentiment Analysis with Natural Language Processing
4. Learn Advanced Natural Language Processing with Deep Learning

8. AI application with Watson by edX

 Available on the edX platform, this certificate is posted by IBM, which is a well-established firm. The course is priced at ₹7,353. The candidates completing the course will get an IBM verified certificate. The certificate will help them to secure job opportunities. 

Requirements:

These are the things you must have before the start of this course:

1. IBM Cloud account
2. Git
3. IBM Cloud command-line tool
4. A text or code editor

Skills that you will learn:

1. Building and programming chatbots
2. Create a chatbot application 
3. Synthesizing Data
4. Reveal the emotions and customer preferences in hotel industry reviews by using Tone Analyzer and Personality Insights and feed that data to the chatbot developed.

 9. Google AI Education Course

A free course by Google is what makes it best-suited for many students. Also, it is best suited if you want to get started without worrying about the price. It has text-based content to learn AI concepts. Let’s see more about the course features below.

Features:

1. Excellent overview of AI coding basics
2. Free Access
3. Beginners can also register
4. Text-based content

 10. Introduction to Artificial Intelligence for Managers

 Last, one to the list is specifically for managers, directors, business leaders or VPs. If you are one of these, then you would like to have the technical knowledge of a growing domain like AI. It will help you to make better business decisions. So, let’s see what all you need before starting the course.

Requirements:

1. Basic Knowledge of Mathematical Concepts at the 10th-grade level
2. Rudimentary knowledge of Algorithms.
3. Be able to understand the technical details of an algorithm.

Note: On this platform, price changes as per discount offers available.

What you will learn?

1. Understand the working of AI technically.
2. Use AI libraries like Scikit-Learn
3. Management of ML Projects.
4. Learn about like convolutional neural networks(CNN)
5. Understand about Multi-layer Neural Networks 

Future of Artificial Intelligence 

AI is the present as well as the future. It has been an important part of the 21st century to date. Recently, as per a report, more than half of the managers across industries—57 per cent—said their company was using AI, up from 44 per cent in 2018. With AI having an impact on any imaginable domain, it will be a significant part of the future. Be it Banking, Business, Health Care or Education, you would see its influence. Now, talking about the growth of AI in the near future. The forecasted AI annual growth rate between 2020 and 2027 is 33.2% as per the Semrush website. To be a part of that growing domain, you would need to be thorough with the concepts and proficient in AI. For that very purpose, now, let’s look at some of the best Artificial Intelligence Courses.

As we said AI is the future of any domain, you should be well-versed with the concepts and technologies that use AI. You can improve your future by making judicious use of your present time. This can be done by enrolling on any of these courses that are best suited to your needs and complete them thoroughly. By doing this, you will gain relevant skills for the industry. Also, you’ll get recognized certificates to showcase your prowess. Thus, in this way, you can improve your chances of being a significant part of the future, which is likely to be dominated by AI.

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