Discover deep learning in this ExpertTrack, covering AI fundamentals, machine learning, and deep learning with Python, using Microsoft Azure Cognitive Services

Get an introduction to deep learning to boost your career in AI

Created in collaboration with Microsoft, this ExpertTrack offers advanced training in artificial intelligence and deep learning for AI professionals, students, analysts and engineers looking to take their AI skills and career to a higher level.

Through online lectures and hands-on lab environments using software powered by CloudSwyft and Azure, you’ll build the skills to sit and pass the Microsoft Azure AI Engineer Associate Exam (AI-100). The cost of this course includes a voucher to sit this Microsoft certification exam online.

Get advanced training in using Microsoft Azure for AI

While 77% of us already use an AI-powered service, artificial intelligence is set to define the next generation of software solutions. PwC predicts AI, robotics, and smart automation will contribute up to 15 trillion dollars to global GDP by 2030.

Using the Microsoft Azure cloud infrastructure, you’ll grow your knowledge of the latest AI programming solutions, covering everything from speech recognition to natural language processing.

Gain a professional certificate in deep learning

This ExpertTrack will teach you how to build and implement cutting-edge AI technology that enables deep learning.

You’ll learn how to apply machine learning to build predictive models for AI and identify the core concepts that underpin deep learning.

You’ll then explore how software can be used to process, analyse, and extract meaning from natural language, as well as process images and video – enabling it to understand the world the way humans do.

Explore key concepts in machine learning and AI

As you examine examples of AI applications in the real-world, you’ll develop your understanding of the technology behind key AI systems and learn how to use and apply this technology yourself using Azure.

You’ll also discover how to build intelligent bots that enable conversational communication between humans and AI systems, as well as design deep semantic similarity models (DSSM) and neural models for machine translations. You’ll then build basic signal processing for speech recognition, acoustic modelling, labelling and common algorithms for language modelling.

Learn with AI training and teaching experts

This certificate course is a collaboration between Microsoft, CloudSwyft, and FutureLearn.

Rich in self-paced content modules, lectures, and unique live hands-on lab environments, you’ll be learning from those paving the way for millions looking to build future-proof technology skills for the modern jobs market.

Industry statistics

  • Median base salary

    £45,000
  • UK job openings/month

    1,724

Key skills you will learn

  • Artificial Inteligence
  • Machine learning
  • Deep learning
  • Python programming
  • Microsoft Azure
  • Data science
  • Data analysis
  • Statistics and probability
  • Python data structures
  • Statistical Modelling
  • Neural networks

Experience required

There are no formal entry requirements for this deep learning ExpertTrack. It is designed to be an introduction to deep learning, teaching you AI, machine learning, and Python fundamentals.

You will be working with intermediate level data science, however, so you will need strong mathematical, statistical, and computer science skills. A basic grasp of Python programming would also be advantageous.

Getting started

This deep learning ExpertTrack addresses skills gaps in the AI and deep learning sector. It will enhance your employability in the artificial intelligence, analytics, data science, and machine learning industries.

It would suit anyone looking to build understanding and skills in machine/deep learning: current or aspiring AI and IT professionals, data analysts, software developers, cloud specialists, applied mathematics and statistics experts, data scientists, chatbot developers, AI engineers, or data researchers. This ExpertTrack can also help you transition into machine/deep learning.

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