10 Courses and Certifications

IBM Machine Learning Courses & Certifications

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Machines have become an integral part of human life and they make it far easier for us to live. Many breakthroughs have been made in machines and robotics as they now began to take action on their own. Self-driving cars, Alexa, Siri, recommendations on social media platforms and OTTs like Netflix and Amazon Prime are born out of the technological advancement in machines; machine learning. Machine learning  enables the machine to learn and assume on its own without being programmed explicitly. Machine learning is part of artificial intelligence and it has an application across various industries. 

IBM, the American-based technology company, has plenty of courses on a wide variety of topics including machine learning. This article will explore the online machine learning courses and certifications, especially those offered by IBM

What is Machine Learning?

Machine learning is a sub-category of computer science and artificial intelligence. It uses algorithms and data to help the machine learn like humans with high accuracy. The application of machine learning is far-reaching and prospects of applications in more fields are increasing. Machine learning has three different techniques, namely, reinforcement, supervised and unsupervised learning. 

IBM Machine Learning Courses

IBM works hand in hand with many online course providers to offer online machine learning courses, namely, Coursera and Edx as well as the IBM training platform. Both free and paid IBM machine learning courses are available. IBM machine learning    courses and IBM certification machine learning offered by Coursera are provided in various international languages enabling the learners to learn machine learning regardless of their linguistic backgrounds. Edx has different types of IBM ML course and IBM machine learning professional certificate including certificate programmes. IBM machine learning courses, IBM machine learning free course and IBM machine learning certificate can be found in different durations such as 3, 4, 5, 6 and 7 weeks. No matter what skill level you belong to, IBM offers machine learning courses suitable for you. 

Features of IBM Machine Learning Courses

IBM machine learning courses and IBM machine learning professional certificate are of the sets of excellent options to learn machine learning. Some of the features the IBM machine learning courses and IBM machine learning certification boast include: 

  • Online certificate of different duration
  • Courses for all skill-level learners
  • Certificate of completion
  • Courses in a number of languages
  • Subtitles

Top IBM Machine Learning Courses

Coursera offers plenty of online web development courses. Some of them are listed below: 

Career Opportunities after IBM Machine Learning Courses

Machine learning is one of the in-demand industries that require plenty of professionals as the ML is applied virtually in all sectors and fields. Find out some of the career opportunities you can try after the IBM machine learning courses and IBM machine learning certification: 

Machine Learning Courses by Top providers

Along with IBM, there are other online course providers that provide online machine learning courses and free machine learning courses and certifications. Some of the top providers that offer machine learning courses are: 


Have a look:

To know more about the major specializations and the free courses and certifications and online courses and certifications offered in them by ed-tech companies include: 


Also Read

IBM, along with machine learning, also provide courses and certifications in various other disciplines such as: 

IBM Cyber Security Courses & Certifications

IBM Data Analytics Courses & Certifications

IBM Information Technology Courses & Certifications

IBM Artificial Intelligence Courses & Certifications

IBM Deep Learning Courses & Certifications

IBM Web Development Courses & Certifications

IBM Business Analytics Courses & Certifications

IBM Cloud Computing Courses & Certifications

FAQs

Q: Which ed-tech companies collaborate with IBM to offer IBM machine learning courses?

Ans: IBM machine learning courses are scattered across various online course providers as well as IBM training platforms such as EdX and Coursera. 

Q: Which durations the IBM machine learning courses are available in?

Ans: IBM machine learning courses are available in different durations and lengths and you can choose the machine learning course that suits your time. IBM machine learning courses are offered in the durations of 3, 4, 5,6 and 7 weeks. 

Q: What are some of the best IBM machine learning courses?

Ans: Some of the machine learning courses offered by IBM include: Machine Learning with Python: A Practical Introduction; AI Workflow: AI in Production; IBM Machine Learning Professional Certificate; and PyTorch Basics for Machine Learning. 

Q: What career options do the learners have after the IBM machine learning courses?

Ans: IBM machine learning courses will bring you numerous career opportunities in the industry that promise you a bright future in it. Some of the career options you can try after the IBM machine learning courses are: machine learning engineers, computer programmers, python programmers, software engineers, data scientists and many more. 

Q: How much can ML engineers earn in India on average?

Ans: Machine learning engineers can earn based on their experience and skills. The average salary of machine learning engineers in India is Rs 7.5 Lakhs per year. 

Career Category
Specialization
Job Role
Skills

Pricing

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Deep Neural Networks with PyTorch

Offered by

Certificate

Deep Neural Networks with PyTorch

The Deep Neural Networks with PyTorch certification course will teach candidates, how to use Pytorch to create deep learning models. It is a part of the IBM AI Engineering Professional Certificate. There are a total of 6 courses in that specialisation. The Deep Neural Networks with PyTorch training course is the fourth one of them. Artificial intelligence or AI is revolutionising whole industries by transforming the way businesses exploit knowledge to make decisions across sectors. Organisations need skilled AI engineers who use cutting-edge approaches such as machine learning algorithms and deep learning neural networks to provide their companies with data-driven actionable intelligence in order to remain competitive. This Technical Certificate of 6 courses is designed to equip candidates with the tools which are needed to excel as an Artificial Intelligence or Machine Learning engineer in their career. 

Using programming languages such as Python, candidates will master the basic principles of machine learning and deep learning, which includes supervised and unsupervised learning. Candidates will also obtain a digital badge from IBM acknowledging their proficiency in AI engineering in addition to receiving a Technical Certificate from Coursera.

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7 Weeks
Intermediate
4,023
Skills Covered:
Knowledge of deep learning
Introduction to Deep Learning and Neural Networks with Keras

Offered by

Certificate

Introduction to Deep Learning & Neural Networks with Keras

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

...Read More
5 Weeks
Intermediate
4,023
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
PyTorch Basics for Machine Learning

Offered by

IBM via Edx
Certificate

PyTorch Basics for Machine Learning

The PyTorch Basics for Machine Learning certification programme is offered by IBM to arm you with the skills for implementing classic machine learning algorithms. You will get to know how PyTorch is used to optimise and create deep learning models. 

During the PyTorch Basics for Machine Learning training, you will learn important models such as linear and logistic regression models. This introductory-level programme will teach you how to train your models and their related concepts like gradient descent, cost and loss.

With the learnings of edX’s PyTorch Basics for Machine Learning course, you will learn to save your training and model in apps like checkpoints, early stopping and cross-validation for hyperparameter selection. Also, basics around the linear object, like their interaction with data with a distinctive number of samples and different dimensions, will be cleared.

The PyTorch Basics for Machine Learning course also includes a final project in the end to assess your skills and performance. You can even get a paid instructor-signed certification after completing the course. The learners also can audit the self-paced programme without paying the fee for a limited duration. 

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5 Weeks
Beginner
Free
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Numpy
Advanced Machine Learning and Signal Processing

Offered by

Certificate

Advanced Machine Learning and Signal Processing

The online program on Advanced Machine Learning and Signal Processing by Coursera is a part of the series of programs that are offered in the domain of “advanced machine learning and signal processing”. The Advanced Machine Learning and Signal Processing training is part of the courses that are offered by IBM on advanced data science specialization. In the course, the frameworks for python using SparkML and Scikit-Learn will be introduced. The Advanced Machine Learning and Signal Processing certification syllabus will be covered on the digital platform within a time frame of 28 hours.

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4 Weeks
Expert
4,018
Skills Covered:
Machine learning
Machine Learning Rapid Prototyping with IBM Watson Studio

Offered by

Certificate

Machine Learning Rapid Prototyping with IBM Watson Studio

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

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3 Weeks
Intermediate
Free
Skills Covered:
Machine learning
Machine Learning Introduction for Everyone

Offered by

Certificate

Machine Learning Introduction for Everyone

3 Weeks
Beginner
Free
Unsupervised Machine Learning

Offered by

Certificate

Unsupervised Machine Learning

3 Weeks
Intermediate
Free
Data Engineering and Machine Learning using Spark

Offered by

Certificate

Data Engineering and Machine Learning using Spark

3 Weeks
Beginner
Free
Supervised Machine Learning Regression

Offered by

Certificate

Supervised Machine Learning: Regression

3 Weeks
Intermediate
Free
Supervised Machine Learning Classification

Offered by

Certificate

Supervised Machine Learning: Classification

A part of the multiple series programme, the online session on Supervised Machine Learning: Classification by Coursera provides the students with a detailed emphasis on the main types of modelling that are involved with the genre of machine learning. The students will learn elaborately to train the predictive models that are involved and used across various domains. The Supervised Machine Learning: Classification certification syllabus will be covered on the online platform by the students over a time frame of 11 hours. The course will train the students professionally in the domain of machine learning.

...Read More
Intermediate
3,252
Skills Covered:
Machine learning

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