Best Artificial Intelligence Course For Beginners

Artificial Intelligence is the world’s future. Every app and website nowadays uses AI for the majority of its functionalities. Face recognition locks, registering and verifying your security for transactions, and, more recently, putting your face on various characters in gaming and non-gaming apps are all examples of how they’re employed. Artificial Intelligence makes all of this and more feasible. Artificial Intelligence is a useful ability to have, especially since it was all the rage a few years ago, similar to the dot-com boom. Employers are looking for workers with a wide range of skills, particularly those who can assist their businesses move into the Next Generation.

Best Artificial Intelligence Courses

We have compiled a list of Best Artificial Intelligence courses (Best AI Courses) offered by top-tier universities and online forums to help you acquire this expertise and further your career goals in great leaps.

1. Artificial Intelligence Certification Program by Stanford University

Artificial Intelligence Graduate Certificate

This is the best artificial intelligence course, and it’s perfect for students studying computer programming and language programming, as well as software engineers who will eventually work with AI. Stanford University offers an AI certification program taught by famous Professor Andrew Ng.

The course covers topics such as:

  • Machine learning, knowledge representation.
  • Logic and probabilistic models.
  • Robotics, natural language processing, and visual learning.

(It is advisable to pair these courses with curriculums involving advanced statistics and probability for a better understanding of the subject)

On completing the course, learners can apply for jobs in AI programming, Robotic Engineering, building AI for practical uses, and its application in business modules.

Prerequisites

  • A Bachelor’s degree with a 3.0 or higher grade point average.
  • Understanding of advanced probability.
  • Advanced statistics and advanced linear algebra.
  • Experience with programming in C/C++, Java, Python, or other similar languages.

Level: Intermediate
Rating: 4.8
Duration: Subject to the number of units chosen.

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2. Artificial Intelligence A-Z

This course provides a thorough knowledge of Artificial Intelligence, such as Machine Learning, Data Science, and Deep Learning, to create AI designs for real-world applications.

The course covers topic such as:

  • Artificial Intelligence, it’s working, and its uses.
  • Artificial Intelligence Designs.
  • Intuition Q-learning, Deep Q-learning, and Deep Convolutional Q-learning.
  • Learning to work with A3C.
  • Control advanced AI models.
  • Build Virtual Self-driving cars.
  • AI programming to test games and defeat them.
  • Actively solving real problems in the world by using various AI designs.

Candidates can apply their extensive knowledge in AI to design real-world applications and sell them after the course. They can also apply for jobs in advanced AI programming and help develop AI technologies in the real world.

Prerequisites: Basic knowledge of python and high school mathematics.

Level: Beginner to Expert
Rating: 4.3
Duration: 16 hours and 30 minutes

3. AI course for Everyone by Coursera

This course is offered by deeplearning.ai, established by the founding leader of Google brain and renowned Adjunct professor, Andre Ng of Stanford University.

The course covers topics such as:

  • Machine learning and what its functions are.
  • The technical know-how of machine learning and non-technical explanations of deep learning.
  • Short quizzes to assist in grasping new and difficult concepts

Upon course completion, the student can evaluate their options of taking further courses of in-depth education in Artificial Intelligence to get better job offers and work with futuristic technology.

Prerequisites: None
Level: Beginner
Rating: 4.8
Duration: 6 hours

4. Artificial Intelligence Nanodegree Programs (Udacity)

Udacity’s School of Artificial Intelligence offers a variety of Nanodegree programs. Nanodegrees are a type of degree that consists of a wider course of study and is frequently offered in collaboration with renowned organizations or universities. For people interested in pursuing a career in AI, there are a number of good, effective, career-focused programs that can help them grow in the area in as little as 8-10 hours per week. From comprehensive beginning focused programs to those geared for more advanced learners, there are options for every level of expertise and experience.

Some of the best Udacity AI training programs include:

  • AI Product Manager – Covers AI products, creating high quality datasets, training ML models, measuring post-deployment impact and updating models and scaling your AI products.
  • Intro to Machine Learning with TensorFlow – Covers foundational machine learning algorithms, supervised models, deep and unsupervised learning, neural network design and training in TensorFlow.
  • AI Programming with Python – Covers the essential foundations of AI: the programming tools (Python, NumPy, PyTorch, Anaconda, pandas, and Matplotlib), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
  • Artificial Intelligence for Trading – Covers basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Also teaches how to develop trading strategies, and construct a multi-factor model with optimization.
  • Computer Vision – Covers computer vision and deep learning techniques—from basic image processing, to building and customizing Convolutional Neural Networks, Recurrent Neural Networks (RNN), Simultaneous Localization and Mapping (SLAM), Object Tracking, Image Classification.
  • Natural Language Processing – Covers Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging
  • Deep Reinforcement Learning – Covers Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)
  • Artificial Intelligence – Covers AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition
  • Machine Learning Engineer – Covers Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning
  • Deep Learning – Covers Deep Learning, Neural Networks, Jupyter Notebooks, CNNs, GANs
  • AI for Business Leaders – Covers Artificial Intelligence, Machine Learning, Business Strategy, Data Labeling, Data Modeling

The Nanodegree programs in Udacity’s School of AI are organized around following four main roles or career paths:

  1. Machine Learning Engineer – Udacity recommends completing following Nanodegree programs in the specified order to start a career in Machine Learning – Intro to Machine Learning with TensorFlow, Intro to Machine Learning with PyTorch, AI Programming with Python, Machine Learning Engineer.
  2. Deep Learning Engineer – For working as deep learning engineer, following Nanodegree programs are suggested – AI Programming with Python, Machine Learning Engineer, Deep Learning.
  3. Artificial Intelligence Specialist – The recommended programs in this career path are – Computer Vision, Natural Language Processing, Deep Reinforcement Learning and Artificial Intelligence
  4. Quantitative Analyst – This career path involves building programming and linear algebra skills, then learning to analyze real data and building financial models for trading. The recommended programs are – AI Programming with Python and Artificial Intelligence for Trading.

Key Highlights

  • Curriculum designed and delivered by industry experts
  • Get practical experience by applying your skills to code exercises and projects
  • Get 1-on-1 technical mentor support
  • Personal career coach also available for career path guidance
  • Complete flexibility with timelines and schedule

Duration : Self-Paced
Rating : 4.6

5. Introduction to Artificial Intelligence with Python by EdX

Harvard University brings forth this incredible opportunity to obtain a Verified Certificate in using AI with Python to understand and implement AI technology using complex mathematical concepts.

The course covers topics such as:

  • Probability theories and logical inference to understand the process of creating AI-powered devices.
  • Knowledge of machine learning, reinforcement learning, neural networks, and various other techniques to process data for building AI.
  • To work with Bayesian networks and Markov models.
  • Working with Graph Search Algorithms.
  • Creating constraint satisfaction designs.

You get a verified certification from Harvard at the end, which helps students apply for jobs in AI programming, data science, etc. with better pay grades. Students who wish to use this certification for business can expect better deals.

Prerequisites

  • Programming Experience with Python, preferably with CS50.

Level: Beginner
Rating: 4.8
Duration: 7 weeks with 10 hours/week

6. IBM Applied AI certification course by Coursera

IBM offers this excellent opportunity to instruct people to use Python, create virtual assistants and chatbots for their business, and learn about neural networks, machine learning, and deep learning.

The course covers topics such as:

  • Usage of minimal coding to create AI-powered programs with APIs, Python, and IBM’s Watson AI service.
  • Virtual assistants and chatbots to assist customers and clients in the absence of physical customer support for your business.
  • Application of vision techniques to upload various design and classification models.

Learners will gain an in-depth knowledge of AI by the end of this certification course. They can apply for jobs in Data Science, Machine responding, AI generation, etc. Additionally, acquiring the IBM Watson AI and learning to use it can support creating better levels of AI-generated assistance in their business.

Prerequisites: No prerequisites for this program.

Level: Beginner
Rating: 4.6
Duration: 7 months with 4 hours/week

7. AI application with Watson by edX

This course will teach you how to use IBM Watson to construct better AI algorithms that have more realistic and humane responses and functionalities.

The course covers topics such as:

  • Programming AI to transcribe and evaluate big data sets and apply specific functions to improve efficiency.
  • Chatbots to grasp grievances by improving its IQ through Watson’s discovery automatically.
  • Designing Watson to analyze tone and customer preferences.

Upon completing the course, those who enroll in this course can design advanced chat-bots and virtual assistants to address clients and acquire necessary data. Complete knowledge of IBM Watson adds extra points to your Resume/CV along with a certification from IBM.

Prerequisites: None

Level: Intermediate
Rating: 4.6
Duration: 3 weeks with 2-4 hours/week

8. Artificial Intelligence 2018: Build the most powerful AI

This course provides knowledge of Augmented Random Search (ARS) as used by multinational companies to build advanced Artificial Intelligence models

The course covers topic such as:

  • Learn to build Artificial Intelligence Programming.
  • Program powerful AI algorithms.
  • Knowledge in theory and application of ARS and how to use the algorithm in the real world.
  • Preparing the AI model to perform tasks like Google Deep Mind to solve various problems.

After the courses end candidates can apply for jobs in AI programming or apply the knowledge in creating AI programs to compete with Google Deep Mind to solve complex problems.

Prerequisites: Knowledge in Python coding and scripting, basic mathematics, and a PC compatible to run Anaconda.

Level: Intermediate
Rating: 4.5
Duration: 5 hours

9. Beginner’s Guide to AI in Unity by Udemy

This course teaches you how to use C# to construct and navigate non-player characters in games on Google Play and the App Store. This course includes learning how to traverse NPCs and program decision-making abilities, as well as creating NPCs and applying them in pre-existing applications.

The course covers topics such as:

  • Vector Mathematics.
  • Implementing Vectors to move characters in different directions and navigating to goal locations.
  • ]Unity’s Vehicle system and Waypoint system to navigate cars and create racing programs.
  • In-depth knowledge of waypoints through graph and pathfinding and creating waypoints in 2D.
  • Traversing from Waypoint to NavMesh and learning to animate on NavMesh and sync agent speed in different sizes.
  • Complex behavioral patterns of wandering, fleeing, hiding, seeking pursuits, etc.
  • Crowd simulation to conjure city crowds and navigating them to complete various challenges.
  • Convert Finite State Machines to function on NavMesh.
  • Introduction to behavior trees through careful and deliberate designing of nodes to influence behavioral afflictions.
  • Goal-Oriented Action Playing and adding actions to perform with global states and multiple hosts.

You can apply these techniques in programming games or modify NPC behavior in pre-existing games on completing the course. They can apply for jobs in game design, game testing, etc.

Prerequisites: Experience with C# and familiarity with the Unity Game Development Engine.

Level: Beginner
Rating: 4.5
Duration: 10 hours 50 minutes

10. Master Class in AI by Udemy

This course is the ultimate package to learn how to build powerful Artificial Intelligence and hybrid AI models.

The course covers topics such as:

  • Understanding and implementing fully connected neural networks.
  • Working with Genetic Algorithms, Evolution Strategies, and Policy Gradients.
  • Deep learning of recurrent neural networks and NeuroEvolution
  • Practice mixture density networking and more advanced formulas to make you an apt AI programmer.
  • Building Hybrid Intelligence systems.

Later, students will be equipped to perform innovative and progressive programming to cater to technology’s ever-changing demands. They can acquire the most useful tools to create advanced AI models and apply them to more critical job roles in data science and Artificial Intelligence.

Prerequisites

  • Knowledge of high school mathematics
  • coding experience

Level: Advanced
Rating: 4.4
Duration: 12 hours

11. Intro to AI for managers by Udemy

Have you wondered how multi-layered neural networks tend to learn and adapt automatically? This course gives you a complete insight into the technical aspects of AI through in-depth machine learning and deep learning algorithms.

The course covers topics such as:

  • Techniques to identify opportunities and use AI to further your business project.
  • Teaches how to manage AI projects more efficiently to get exceptional results.
  • Preventing various under the fit and overfit candidacy issues and regularization of the business module
  • Coding with Python and using the Scikit library to program more efficiently.
  • Convolutional neural networks, Multi-layer neural networks, recurrent neural networks, and the process of deep learning

After completing the course, students will learn to optimize their business environment for maximum utility and output. They will also be adept at managing AI projects.

Prerequisites

  • Basic knowledge of Mathematics and Algorithms and their technical descriptions.

Level: Beginner
Rating: 4.3
Duration: 1 hour 50 minutes

BONUS Artificial Intelligence Courses:

12. Google AI Powered by Google

Google has designed an education program to help people identify the use of Artificial Intelligence to further the social agenda in our various communities.

The course covers topics such as:

  • A basic understanding of machine learning, AI explorable, recommendation systems, and data clustering.
  • How to test and debug Machine learning and prepare data.
  • Using AI responsibly for the benefit of society.

Students become skilled to help social media sites in preventing various discrepancies at the ground level. It equips people with knowledge to prevent hacking and violations personally and identify inconsistencies in the system.

Prerequisites: No prerequisites for this course.

Level: Beginner
Rating: 4.0
Duration: Approximately 4 hours/topic

13. Reinforcement Learning in Python by Udemy

If you are a stock trader or wish to simplify your financial investments, this course is tailored for you.

The course covers topics such as:

  • Understanding reinforcement learning to avoid trivial tasks in machine learning.
  • Designing Bandit programming.
  • Usage of Bellman Equation and UCB1 code.
  • Understanding the relationship between psychology and how it affects reinforcement learning.

Students will be well-equipped to program their own bots to observe and analyze patterns for stock marketWatson’stments to earn higher returns on completing the course. This is a particularly useful tool to attain large margins in ROI.

Prerequisites

  • Thorough understanding of Calculus, Linear regressions, Probability, Gradient descents.
  • Knowledge of Python and Numpy coding.

Level: Intermediate
Rating: 4.6
Duration: 12 hours and 30 minutes

Conclusion

We’ve compiled a list of the best AI courses. Artificial Intelligence (AI) is overtaking the globe. Its technologies are already being used in video games and home upkeep. Drones and smart automobiles are currently being tested for deployment. Now is the time to master this extraordinary skill and go madly into the revolution. You can be the one to invent the cutting-edge technology that propels humanity into the future right now.

One Comment

  1. Hey really great post on the Artificial Intelligence, I enjoyed reading it a lot. We all know its important in today’s and future world.

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