9 months
Duration
Free
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Unknown
Tuition fee
Anytime
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Start date

About

Launch your career as an AI engineer with this IBM AI Engineering course offered by Coursera in partnership with IBM. Learn how to provide business insights from big data using machine learning and deep learning techniques.

Visit the official programme website for more information

Overview

Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.  

You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.

Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.

In addition to earning a Professional Certificate from Coursera , you will also receive a digital badge from IBM recognizing your proficiency in AI engineering. 

Applied Learning Project

Throughout the IBM AI Engineering course offered by Coursera in partnership with IBM, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes. 

Programme Structure

Courses include:

  • Machine Learning with Python
  • Deep Learning & Neural Networks with Keras
  • Computer Vision and Image Processing
  • Deep Neural Networks with PyTorch
  • Building Deep Learning Models with TensorFlow
  • AI Capstone Project with Deep Learning

Key information

Duration

  • Part-time
    • 9 months
    • 3 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • Some related experience required.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 9 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 9 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

IBM AI Engineering
-
Coursera

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