Online Course – IBM Certified Professional Certificate in Artificial Intelligence Engineering

Start your career as an AI engineer. Learn how to deliver business insights from big data using machine learning and deep learning techniques.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding the basic concepts of machine learning and deep learning
  • Using programming languages ​​like Python
  • Implementing popular machine learning and deep learning libraries
  • Solving industrial problems in object recognition and computer vision
  • Image and video processing
  • Text analysis and natural language processing (NLP)
  • Building recommendation systems
  • Working with Big Data using Apache Spark
  • Building, training, and deploying various deep architectures
  • Development of convolutional neural networks and recurrent networks
  • Carrying out practical projects and demonstrating skills in the field
  • Obtaining a professional certificate and digital mark from IBM

What you will learn in the course

Courses for which the course is suitable

  • Artificial Intelligence Engineer (AI Engineer)
  • Machine Learning Engineer
  • Data Scientist
  • Recommendation Systems Developer
  • Natural Language Processing Solutions Developer (NLP Developer)
  • Computer Vision Developer
  • Data Analyst
  • Algorithm Developer
  • Big Data Expert
  • Neural Networks Developer

Professional Certificate – 6-course course series

Artificial Intelligence (AI) is transforming entire industries, transforming the way companies use data to make decisions. To stay competitive, organizations need certified AI engineers who use advanced methods such as machine learning algorithms and deep neural networks to deliver data-driven intelligence to 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 will master the fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages ​​such as Python. You will apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems including object recognition, computer vision, image and video processing, text analysis, natural language processing (NLP), recommender systems, and other types of filters.

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

In addition to receiving a professional certificate from Coursera, you will also receive a digital mark from IBM recognizing your professionalism in the field of artificial intelligence engineering.

Hands-on Learning Project

Throughout the program, you will build a portfolio of projects that demonstrate your skills in the course topics. The hands-on projects will give you practical knowledge of machine learning libraries and deep learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. In addition, you will complete an in-depth capstone project, where you will apply your AI and neural network skills to a real-life challenge and demonstrate your ability to communicate the project results.

Details of the courses that make up the specialization