Simplilearn is an online learning platform that has a plethora of courses on AI, for complete beginners as well as advanced learners. In this article, we will look at some of the top Simiplilearn AI courses and certifications in 2024.
Simplilearn AI Courses
Artificial intelligence is everywhere, from social media to finance. The AI boom that happened a few years ago has radically changed the type of businesses, how they operate, and how we interact with the digital world. It would not be an understatement to say that AI is perhaps the most important technological advancement at the moment.
Some AI tools can assist you in doing mundane tasks, whereas others can help detect different types of cancer. It is now more important than ever to learn about AI and understand how it works its uses, and its drawbacks.
Fortunately, even if you are a complete newbie, there are several ways you can learn about AI.
You can read books, but their content might be outdated as AI keeps changing and developing every day. Or, you can take online courses, if you are looking for a more dynamic, updated, and fun way to learn.
The internet offers a wide range of AI courses and certifications. Several of the best tech companies and Ivy League universities provide these. The courses range from fundamental topics like introduction to AI to more advanced ones like reinforcement learning, computer vision, and neural networks.
Simplilearn is one such platform that has a plethora of courses on AI, for complete beginners as well as advanced learners. Some of these courses are free, whereas some require a small payment to be made.
In this article, we will look at some of the top Simiplilearn AI courses and certifications in 2024.
| Course Name | Duration | Level | Key Topics | Course Link |
| Deep Learning for Beginners | 7 hours | Beginner | Neural Networks, TensorFlow its program elements and installation, Deep Learning Libraries, Tensorflow Object Detection API, Deep Learning, Frameworks, Keras | Deep Learning for Beginners |
| Machine Learning using Python | 7 hours | Intermediate | Supervised and unsupervised learning, Time series modeling, Linear and logistic regression, Kernel SVM, KMeans clustering, Naive Bayes | ML using Python |
| Natural Language Processing (NLP) and Text Mining Tutorial for Beginners | 1 hour | Beginner | Working with Natural Language ToolKit Library, Text Extraction and Preprocessing, Structuring Sentences | NLP & Text Mining |
| TensorFlow for Beginners | 5 hours | Beginner | Deep learning platforms, Recurrent neural networks, TensorFlow Object Detection API, Data flow graph, Linear regression using TensorFlow | TensorFlow for Beginners |
| Introduction to Neural Network | 4 hours | Beginner | Artificial neural networks, Backpropagation and gradient descent, Convolutional neural networks, Recurrent neural networks, Longshort term memory | Introduction to Neural Network |
| Professional Certificate Course In AI And Machine Learning | 11 months | Intermediate | Generative AI Prompt, Engineering, ChatGPT Explainable AI, Machine Learning Algorithms, Supervised and Unsupervised Learning, Model Training and Optimization, Model Evaluation and Validation, Ensemble Methods, Deep Learning, Natural Language Processing, Computer Vision | Professional Certificate Course In AI and ML |
| Caltech Post Graduate Program In AI And Machine Learning | 11 months | Intermediate | Python for Data Science, Machine Learning, Deep Learning with TensorFlow, ADL and Computer Vision, NLP and Speech Recognition | Caltech Post Graduate Program In AI and ML |
| Artificial Intelligence Beginners Guide: What is AI? | 1 Hour | Beginner | Fundamentals of Artificial Intelligence, Machine Learning Techniques, Applications of Machine Learning | AI for Beginners |
What We Like
What We Don’t Like
About the course: This free is for beginners interested in learning about the fundamentals of deep learning. It covers topics such as neural networks, deep learning frameworks, TensorFlow, and its installation. You will also get to learn about convolutional and recurrent neural networks, with practical examples and use cases. After completing this course, you will gain skills in various deep-learning libraries and techniques.
COURSE DETAILS
| Provider | Simplilearn |
| Duration | 7 hours |
| Level | Beginner |
| Description | “In this course, you will learn about the deep learning fundamentals, TensorFlow and its installation, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, and Deep Learning applications.” |
| Key Topics | Neural Networks, TensorFlow its program elements and installation, Deep Learning Libraries, Tensorflow Object Detection API, Deep Learning, Frameworks, Keras |
| Correct URL Link to Course | https://www.simplilearn.com/introduction-to-deep-learning-free-course-skillup |
What We Like
What We Don’t Like
About the course: This intermediate course provides an introduction to machine learning and its key concepts. Some of the key subjects included in the course include supervised and unsupervised learning, regression, classification, clustering, and ensemble learning, using Python. The course also looks into real-world applications of recommender systems, making it appropriate for analytics managers, business analysts, information architects, and developers.
COURSE DETAILS
| Provider | Simplilearn |
| Duration | 7 hours |
| Level | Beginner |
| Description | “This free machine learning course is designed to provide you with a solid foundation in machine learning, one of the most exciting and rapidly growing fields in technology and data science.” |
| Key Topics | Supervised and unsupervised learning, Time series modeling, Linear and logistic regression, Kernel SVM, KMeans clustering, Naive Bayes |
| Correct URL Link to Course | https://www.simplilearn.com/learn-machine-learning-basics-skillup |
What We Like
What We Don’t Like
About the course: This beginner-friendly free course covers the applications of machine learning in processing natural language data. It explores the fundamental topics of ML such as text extraction, preprocessing, and structuring sentences. With the Natural Language ToolKit (NLTK) library, you will receive a hands-on learning experience. The course demands no prerequisites required and is suitable for beginners looking to build a career in ML.
COURSE DETAILS
| Provider | Simplilearn |
| Duration | 1 hour |
| Level | Beginner |
| Description | “The Natural Language Processing and Text Mining free course gives you a detailed look into how machine learning algorithms can be applied to process large amounts of natural language data.” |
| Key Topics | Working with Natural Language ToolKit Library, Text Extraction and Preprocessing, Structuring Sentences |
| Correct URL Link to Course | https://www.simplilearn.com/learn-basics-of-natural-language-processing-free-course-skillup |
What We Like
What We Don’t Like
About the course: This course covers the popular deep learning library TensorFlow in depth. You will learn how to install TensorFlow on Ubuntu, deep learning platforms, data flow graphs, and the TensorFlow Object Detection API. The course includes practical sessions on linear regression and recurrent neural networks. The course is ideal for software engineers, data scientists, data analysts, and statisticians.
COURSE DETAILS
| Provider | Simplilearn |
| Duration | 5 hours |
| Level | Beginner |
| Description | “This free course will help you learn TensorFlow, a popular open-source library for deep learning.” |
| Key Topics | Deep learning platforms, Recurrent neural networks, TensorFlow Object Detection API, Data flow graph, Linear regression using TensorFlow |
| Correct URL Link to Course | https://www.simplilearn.com/learn-tensorflow-basics-free-course-skillup |
What We Like
What We Don’t Like
About the course: This beginner-friendly course covers neural networks, one of the most important topics in artificial intelligence and machine learning. It covers different subjects including artificial neural networks, backpropagation, gradient descent, convolutional neural networks (CNNs), recurrent neural networks (RNNs) as well as long short-term memory (LSTM). It also includes practical applications and use case implementations. The goal of the course is to impart the specific knowledge and skills needed to apply neural networks in various fields.
COURSE DETAILS
| Provider | Simplilearn |
| Duration | 4 hours |
| Level | Beginner |
| Description | “This free course will help you learn TensorFlow, a popular open-source library for deep learning.” |
| Key Topics | Artificial neural networks, Backpropagation and gradient descent, Convolutional neural networks, Recurrent neural networks, Longshort term memory |
| Correct URL Link to Course | https://www.simplilearn.com/neural-network-training-from-scratch-free-course-skillup |
What We Like
What We Don’t Like
About the course: This is an 11-month online boot camp designed to cover AI and ML. Designed in collaboration with IIT Kanpur, one of the top engineering colleges in India, the course offers a blend of theoretical knowledge and practical experience. It includes interactive live virtual classes, masterclasses by IIT Kanpur faculty, and hands-on labs. You will get to work on industry-relevant projects, such as the development of a virtual assistant, predictive models, and AI-powered recommendation engines. The certification covers important topics like Python programming, exploratory data analysis (EDA), supervised and unsupervised learning, deep learning, and advanced generative AI techniques. You will also learn more about popular AI tools like ChatGPT, DALL-E 2, TensorFlow, and Keras.
COURSE DETAILS
| Provider | Simplilearn in collaboration with Microsoft Azure |
| Duration | 11 Months |
| Level | Intermediate |
| Description | “Learn the latest tools and technologies of the AI world through live classes delivered by industry experts, hands-on labs, Industry-relevant projects and masterclasses from distinguished IIT Kanpur faculty.” |
| Key Topics | Generative AI Prompt, Engineering, ChatGPT Explainable AI, Machine Learning Algorithms, Supervised and Unsupervised Learning, Model Training and Optimization, Model Evaluation and Validation, Ensemble Methods, Deep Learning, Natural Language Processing, Computer Vision |
| Correct URL Link to Course | https://www.simplilearn.com/neural-network-training-from-scratch-free-course-skillup |
What We Like
What We Don’t Like
About the course: The online boot camp covers AI and ML in detail. It is designed in collaboration with IBM, and provides a blend of academic excellence and industry insights. It covers a wide range of topics, including Python programming, machine learning algorithms, deep learning with TensorFlow, and the latest trends like generative AI and ChatGPT. You can engage in hands-on projects across various domains, and gain practical experience with real-world applications. The program also offers job placements.
COURSE DETAILS
| Provider | Simplilearn in collaboration with IBM |
| Duration | 11 Months |
| Level | Intermediate |
| Description | “This AI course covers the latest tools and technologies from the AI ecosystem and features masterclasses by Caltech instructors and IBM experts.” |
| Key Topics | Python for Data Science, Machine Learning, Deep Learning with TensorFlow, ADL and Computer Vision, NLP and Speech Recognition |
| Correct URL Link to Course | https://www.simplilearn.com/artificial-intelligence-masters-program-training-course |
What We Like
What We Don’t Like
About the course: This is an introductory program designed to introduce beginners to the basic concepts of AI and machine learning. The course covers the basics of AI, the relationship between AI and ML, key machine learning techniques, and the future of AI. It provides a brief yet conclusive coverage of the topics of artificial intelligence. It includes a 1 hour self-paced video lesson and offers a completion certificate for free.
COURSE DETAILS
| Provider | Simplilearn in collaboration with Skillup |
| Duration | 1 Hour |
| Level | Beginner |
| Description | “Perfect for beginners, it covers essential AI basics, delves into the connection between AI and machine learning, teaches crucial ML techniques, and discusses AI’s future..” |
| Key Topics | Fundamentals of Artificial Intelligence, Machine Learning Techniques, Applications of Machine Learning |
| Correct URL Link to Course | https://www.simplilearn.com/free-ai-program-skillup |
This sums up our list of top Simplilearn AI courses and certifications. The courses we have listed above are for anyone who is interested in AI, from beginners to professionals. These courses cover a wide range of topics ranging from the basics of AI and ML to Neural Networks and TensorFlow. If you are looking to build a career in AI or skill up, then these courses are a great way to get started. If you do not wish to pay for the courses, then there are free ones available as well. You can enroll in them. Happy learning!
Recommended reading:
List of Stanford University AI Courses for FREE
Best Google AI Courses and Certifications for FREE
Best Microsoft AI Courses and Certifications for FREE
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This post was last modified on August 19, 2024 9:33 am
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