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Microcredential

Advanced Artificial Intelligence on Microsoft Azure: Deep Learning, Reinforcement Learning and Applied AI

Cloudswyft and Microsoft via FutureLearn Program

Overview

Created in collaboration with Microsoft, professional certificate 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

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

Following on from, Machine Learning and Python Basics, this certification will provide you with advanced skills in implementing and designing real-world applications of AI that enable organisations to be more efficient and effective.

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 (NLP).

Gain a professional certificate in deep learning

This professional certificate course 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 learn 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 reinforcement learning, neuro-linguistic programming, computer vision, and image analysis

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 (including LUIS) 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 also 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.

Will I earn a Microsoft role-based Azure certification?

Yes. If you complete this professional certificate, you’ll receive a voucher to sit a separate exam to earn the Microsoft Azure AI Engineer Associate (AI-100) certification.

You’ll also receive multiple Digital Completion Certificates, official digital books from Microsoft and hands-on lab accomplished digital badges which can all be shared on LinkedIn and social media to prove your expertise in the advanced AI course areas within this certification.

Syllabus

Courses under this program:
Course 1: Microsoft Future Ready: Designing and Implementing an Azure AI Solution (AI Engineer Associate)
-This course is designed as one advanced next step from the Introduction to AI course.

Course 2: Microsoft Future Ready: Deep Learning Fundamentals
-Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors and many more.

Course 3: Applied Artificial Intelligence: Speech Recognition Systems
-Developing and understanding Automatic Speech Recognition (ASR) systems is an inter-disciplinary activity.

Course 4: Microsoft Future Ready: Reinforcement Learning Fundamentals
-Reinforcement Learning (RL) is an area of machine learning, where an agent learns by interacting with its environment

Course 5: Applied Artificial Intelligence: Natural Language Processing (NLP)
-Natural language processing is one of the most important technologies of the information age. This is a crucial part of AI.

Course 6: Applied Artificial Intelligence: Computer Vision and Image Analysis
-Computer Vision is the art of distilling actionable information from images.

Taught by

Dann Angelo De Guzman, Marion Ram Valencia and Marc Espos

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