Artificial Intelligence online courses

Artificial Intelligence online courses – Here are the top 10 courses for you

1. Introduction to Artificial Intelligence – An online course by IBM (Coursera)

 

Artificial Intelligence online courses

Offered by IBM this online course for Artificial Intelligence is aimed to teach the basics of Artificial Intelligence with the help of used cases and applications. 

Offered ByNumber of users enrolledUsers RatingCourse Duration
IBM102744.74 Weeks

Level – Beginner

Skills to learn

  • Basics of Artificial Intelligence, Deep Learning, ML and Neural Networks
  • Issues and ethical conduct around ML
  • Expert advice on future or ML

Useful for 

  • The fundamental building of Artificial Intelligence for Fresher, technical writes and process analysts

Review Highlights

The course had been made ideal for the entry-level Artificial Intelligence aspirants. It helps to understand the concepts using used case and various issues and concerns surrounding AI such as ethics and bias, & jobs.

Conclusion – This course does not have any prerequisite for programming knowledge. It is designed to introduce the basics of AI to anyone.

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2. IBM Applied Artificial Intelligence Professional Certificate – Online course by Coursera

Offered by IBM, this course is designed to give a firm understanding of AI, its applications, and its use cases. The course is a pack of 6 courses which includes-

  1. Introduction to AI
  2. AI using IBM Watson
  3. Building AI chatbots without programming
  4. Python to Data Science and AI
  5. Building AI Applications using Watson APIs and
  6. Introduction to Computer Vision with Watson and OpenCV .

After completing this Artificial Intelligence online course, the learner will be able to complete several projects. Such courses will showcase proficiency in applying AI and building AI-powered solutions.

Offered ByNumber of users enrolledUsers RatingCourse Duration
IBM24854.62 Months

Level – Beginner

Skills to learn

  • Data Science
  • Deep Learning
  • Artificial Intelligence (AI)
  • Machine Learning
  • Watson AI

Useful for 

  • This online course of Artificial Intelligence is useful for the beginner looking for a future as Data Analysts, Data Scientists, Process Analysts, Risk Managers or Business Analysts

Review Highlights

After completing all the courses of this program, one will earn a Certificate. This will add value to the profile and can be shared with a professional network. It also unlocks access to career support resources to help kickstart a new career.

Conclusion – This course has been designed in a way that multiple skills can be learned. A highly recommended course for the aspirants of AI application developers.

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3. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

This course is offered by Deeplearning.ai. It is designed for the software developer who wants to build scalable AI-powered algorithms.  The course teaches to use TensorFlow, which is a popular open-source framework for machine learning.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Deeplearning.ai879364.74 Weeks

Level – Intermediate Level

Experience in Python coding and basic knowledge of machine learning or deep learning

Skills to learn

  • TensorFlow
  • Neural network in TensorFlow
  • Convolutions to improve  neural network

Useful for

This online course is ideal for the aspirants with a career goal as Data Scientists, Machine Learning Engineers Data Engineers, and Biostatisticians.

Review Highlights– The majority of the students who took this course either got a new job or got a tangible career benefit.

Conclusion – Well-designed course for beginners to get started with building Convolutional Neural Networks. for Image Classifiers.

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4. Artificial Intelligence Programming with Python- online course by Udacity

Offered by Udacity, this Nanodegree Program teaches essential Artificial Intelligence concepts. This includes search, optimization, planning, pattern recognition, etc.

Offered ByUsers RatingCourse Duration
Udacity4.43 Months

Level – Intermediate to Advance. Prerequisites Basic Algebra and Programming Knowledge

Skills to learn

  • AI foundations (Python, NumPy, PyTorch, Anaconda, Pandas, Matplotlib, etc.)
  • The math (calculus and linear algebra)
  • Key techniques of neural networks (gradient descent and backpropagation)

Useful for  

Program is very useful for those who have started with programming with python and wants to enhance skill in AI.

Review Highlights– One of the highlights of the Udacity Nanaodegree Program is that one can access career coaching sessions, interview prep advice, and resume and online professional profile reviews to help to grow in career. By taking this course one will learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra. All these skills are the foundations for building a neural network.

Conclusion – The benefits of this program includes real-world projects along with 1-on-1 technical mentor, Personal career coach & career services. This makes this program even more attractive for those who want to build a career in AI.  

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5. Become an Artificial Intelligence Product Manager – Online Course by Udacity

Offered by Udacity, this Nanodegree Program teaches to develop AI products that deliver business value. It helps in building skills that help to compete in the new AI-powered world.

Offered ByUsers RatingCourse Duration
Udacity4.82 Months

Level– Beginners

Skills to learn

  • Foundational knowledge of Artificial Intelligence and machine learning
  • Learn to create a dataset
  • Building a model, leverage AI in the business world
  • Measure post-deployment impact, and updating models

Useful for 

  • Students who want to take advantage of Artificial Intelligence, but don’t want or need to learn the full technical implementation of neural networks and machine learning models
  • Product managers to build AI-powered products and bring value to their product using AI.

Review Highlights– This nanodegree program is designed for anyone who wants to gain fluency and understanding of AI use cases. It helps to learn how to leverage AI and build a dataset. It also teaches how to evaluate different machine learning models without needing to code. 

Conclusion – Students taking this program will learn how to leverage AI in the business world, from scoping datasets, testing machine learning models, and crafting a proposal for a new product powered by AI. There is not prerequisite. The program is very useful for those who are familiar with product management and basic data analysis.

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6. Artificial Intelligence & Deep Learning with TensorFlow- Online Course by Edureka

This deep Learning with TensorFlow with Python Certification Training is designed by the industry experts according to the current demand. By taking this course one will learn about what is AI, explore neural networks, understand deep learning frameworks and implement various machine learning algorithms using Deep Networks.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Edureka16000+4.572 Months

Level– Beginners to Intermediate with Basic programming knowledge in Python and Concepts about Machine Learning.

Skills to learn

  • Concepts of Deep Learning and TensorFlow
  • Convolutional Neural Network (CNN), Recurrent Neural Network (RNN)
  • Proficiency in Long short-term memory (LSTM)
  • Implementing Keras, TFlearn, Autoencoders, and RBM
  • Neural Networks and Natural Language Processing (NLP)
  • Using Python with TensorFlow Libraries
  • Perform Text Analytics and processing

Useful for 

  • Developers aspiring to be a ‘Data Scientist’
  • Analytics Managers
  • Business Analysts and professionals who are passionate about Deep Learning  (ML) Techniques
  • Information Architects who want to get knowledge in Predictive Analytics
  • Analysts wanting to understand Data Science methodologies

Review Highlights– This course is designed to provide In-depth knowledge of Deep Neural Networks and various Network architectures. Provides exposure to real-life industry-based projects along with the rigorous involvement of an SME throughout the AI & Deep Learning Training.

Conclusion – As Deep Learning is one of the most accelerating, promising and in-demand fields, among all the latest technologies. Edureka’s Deep Learning in TensorFlow training is designed to make a student an expert in this technology. This course is a stepping stone in the Data Science journey using which one will get the opportunity to work on various Deep Learning projects. Students who are willing to build a career in data science, this course is a perfect choice.

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7. Introduction to Artificial Intelligence (By Simplilearn)

Offered by Simplilearn, this course is focused on the emerging opportunities of AI and shows how AI can help drive business value. The course covers basic concepts, scope, terminologies, and stages of artificial intelligence and their effect on business processes.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Simplilearn12174+2 Months

Level– Beginners

Skills to learn

  • Fundamental concepts of machine learning and deep learning
  • difference between supervised, semi-supervised and unsupervised learning 
  • ML workflow
  • Role of performance metrics and key method

Useful for 

  • Developers and Analytics professionals aspiring to be an AL or ML engineer
  • Analytics managers
  • Information architects intending to get expertise in AI algorithms
  • Graduates aspiring for a career in artificial intelligence or machine learning

Review Highlights- After completing this course, one will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics. 

Conclusion – This is one of the basic course very well structured for beginners who are aspiring to build a future in the field of AI and data science. One of the main advantages of opting for this course is Lifetime access to high-quality self-paced e-learning content curated by industry experts.

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8. Artificial Intelligence Engineer – An Online Course By Simplilearn

Offered by Simplilearn, co-developed with IBM, this Master’s Program gives training on the skills required for a successful career in AI. This is one of the exclusive training programs, one will master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start a career in Artificial Intelligence.

Offered ByUsers RatingCourse Duration
Simplilearn & IBM4+12 Months

Level– Advance. Participants should have an understanding of the fundamentals of Python programming and basic knowledge of statistics.

Skills to learn

  • This online master’s program covers 7 courses at the micro-level. These courses are- – Introduction to Artificial Intelligence, Data Science with Python, Machine Learning, Deep Learning Fundamentals, Deep learning with TensorFlow, Natural Language Processing, and AI Capstone Project.

Useful for 

  • This online course of Artificial Intelligence is well suited for everyone and every level who is aspiring to become an Artificial Intelligence Scientist or Machine Learning engineers. This includes even a developer or an experienced professional.

 Review Highlights– Although this is an advanced level course and provides an industry-recognized certificate it starts from the basics. Hence it is well suited for everyone willing to kick start a career in ML or Data Science.  Upon successful completion of the Master’s Program, one will be eligible to apply for the JobAssist program and the details will be shared with IIM Jobs. 

Conclusion – This Master’s degree is the father of all courses. Rather than going for multiple short term programs, this program is suggested if someone is serious about making a career in ML and data science. The JobAssist Program for which a candidate is eligible after completing this Master’s program is designed to in finding the dream job. It maximizes the potential and chances of getting a successful job.

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9. Python for Data Science and Machine Learning Bootcamp – Online Course by Udemy

 Offered by Udemy, in this course one will learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, etc. Students will learn how to use the power of Python to analyze data, create beautiful visualizations and use powerful ML algorithms.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Udemy2429904.54 Weeks

Level– Beginners with some prior coding or scripting experience 

Skills to learn

  • Artificial neural networks with Tensorflow and Keras
  • Using Deep Learning to Classify images, data, and sentiments
  • Make predictions using multiple regressions
  • Data Visualization
  • Understand reinforcement learning, etc.

Useful for 

  • A programmer or a developer looking to switch into an exciting new lucrative data science and machine learning career 
  • A data analyst looking to explore a new career

Review Highlights– This course teaches the skills used by real data scientists and machine learning practitioners in the industry.

Conclusion – This course is a great value for money.  The material presented was “really a lot”, and I feel it just touched the surface

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10Machine Learning, Data Science and Deep Learning with Python (Udemy)

Offered by Udemy, this course provided a complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Udemy1016034.54 Weeks

Level– Beginners with some programming experience

Skills to learn

  • Programming, Web scraping and NumPy with Python
  • Using pandas Data Frames to solve complex tasks and handle excel files
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn
  •  Support Vector Machines

Useful for 

  • This course is designed for both beginners with some programming experience as well as for experienced developers. Basically this course is designed to make a career in Data Science.

 Review Highlights– This comprehensive course is comparable to many other costly courses. Here one can learn all that information at a fraction of the cost.  With a repository of video lectures and detailing of every lecture, this is one of the most comprehensive courses for data science and machine learning on Udemy.

Conclusion – This course is a great value for money.  The material provided in this course is of high quality to help and prepare for an exciting career path. 

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