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Do you want to make your career in Artificial Intelligence and searching for the resources to learn Artificial Intelligence? Then you are in the right place. Here we listed out the five best online courses to learn Artificial Intelligence.
These online courses not only give you an insight knowledge of Artificial Intelligence but also help you to get a Job. These courses make you job ready. You will be able to answer basic interview questions.
So if you genuinely want to become an AI Engineer, you should go for these five best online courses.
1. Machine Learning Offered by Stanford
KEY POINTS
- Duration: Approx 3 months to complete (Suggested pace of 9 hours/week)
- Number of Students enrolled for the Course: 110,576+ (Read Student Reviews)
- Money Back Guarantee: Yes, within 14 days of purchase
- Financial Aid: Yes
The specialization is intended for learners with some background in computer science or programming but does not require a strong background in mathematics or statistics.
This Coursera specialization in machine learning is designed to introduce learners to the foundations of machine learning.
WHAT YOU’LL LEARN
- The specialization consists of five courses, which cover topics such as regression, classification, clustering, and deep learning.
- This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition.
- Most effective machine learning techniques, and gain practice implementing them and getting them to perform on your own.
- Linear Regression with one and multiple variable, Logistic Regression, Regularization, Neural Networks, Unsupervised Learning, Anomaly Detection, and many other things.
- You’ll learn about some of Silicon Valley’s best practices in creation since it pertains to machine learning and AI.
- Above all, you will learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new issues.
- The courses also cover practical skills such as how to build and evaluate machine learning models using real-world data, and how to deploy machine learning models in a production environment.
Upon completing the specialization, learners will have a solid foundation in machine learning and will be able to apply these skills to a wide range of problems.
KEY FEATURES
- After completing each module, you will get Quizzes and Programming Assignments
Our Rating : 4.9 out of 5
You can Sign up Here
2. Machine Learning, Data Science & Deep Learning with Python
KEY POINTS
- Duration: 15.5 Hours
- Number of Students enrolled for the Course: 170,740+ (Read Student Reviews)
- Money Back Guarantee: Yes, within 30 days of purchase
WHAT YOU’LL LEARN
- Implement machine learning at a massive scale using Apache Spark’s MLLib
- How to build a Pac-Man bot and understand reinforcement learning
- Linear Regression, Multivariate Regression, and Polynomial Regression
- How to classify images, data, and sentiments using deep learning
- Build artificial neural networks with Tensorflow & Keras
- Data mining and various Machine Learning techniques
KEY FEATURES
- Project Assignment
Our Rating : 4.8 out of 5
You can Sign up Here
3. AI For Everyone
KEY POINTS
- Duration: Approx. 11 hours to complete
- Number of Students enrolled for the Course: 864,200+ (Read Student Reviews)
- Money Back Guarantee: Yes, within 14 days of purchase
WHAT YOU’LL 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 navigate ethical and societal discussions surrounding AI
- How to spot opportunities to apply AI to problems in your own organization
- How to work with an AI team and build an AI strategy in your company
- What it feels like to build machine learning and data science projects
KEY FEATURES
- After completing each module, you will get Quizzes and Programming Assignments
Our Rating : 4.7 out of 5
You can Sign up Here
4. AI & Deep Learning with TensorFlow
KEY POINTS
- Duration: 30 Hours / 6 hours per week
- Number of Students enrolled for the Course: 14000+ (Read Student Reviews)
- Money Back Guarantee: Yes, within 3 days of purchase
WHAT YOU’LL LEARN
- What is Deep Learning and How Deep Learning works?
- Advantage of Deep Learning over Machine learning and real life use cases of Deep Learning
- What is TensorFlow? And how to use it in Deep Learning
- You will understand Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Restricted Boltzmann Machine (RBM) and Autoencoders
- How to use TFLearn and Keras API for implementing Neural Networks
KEY FEATURES
- Real-life case studies
- 60 days of Cloud Lab access
- Practical assignments
- 24×7 online support team available to help you with any technical queries
Our Rating : 4.6 out of 5
You can Sign up Here
5. Deep Learning Specialization by deeplearning.ai
KEY POINTS
- Duration: Approx 5 months to complete / 8 hours per week
- Number of Students enrolled for the Course: 728,265 (Read Student Reviews)
- Money Back Guarantee: No! They will give you 7-Days Free Trial
- Financial Aid: Yes
WHAT YOU’LL LEARN
- RNNs, Convolutional networks, LSTM, Xavier/He initialization, Adam, BatchNorm, Dropout, and more.
- How to diagnose errors and build a successful machine learning system
- What is Deep Learning? & How to build neural networks and apply them to image data?
- You will be able to implement neural networks in TensorFlow.
- You will master not only the theory but also see how it is applied in real-time/ industry.
- Best-practices for building deep learning applications and how to use a neural network effectively
- After completing this course, you will be able to apply deep learning in the right way into your own applications.
KEY FEATURES
- Hands-on Projects
- Quizzes and Programming Assignments
- Real-life case studies
Our Rating : 4.6 out of 5
You can Sign up Here
After successful completion of each online course, you’ll earn a Certificate that you can share with prospective employers and your professional network.
