Advanced and Applied AI on Microsoft Azure Courses 1 To 4.

 

 

Deepen your knowledge of machine learning and AI with Microsoft Azure and Python.

 

QLMExpertFastTrack

Duration

Approximately 16 weeks
5-6 hours per week

Certificates

Earn course certificates
Find out more
100% online

Level

Intermediate
See requirements below

 

#Develop Machine Learning Skills with Python and Explore Azure's AI Capabilities

 

Ever wanted to design and build solutions using machine learning and artificial intelligence (AI)? This QLMExpertFastTrack, in partnership with Microsoft, will teach you how to do just that using Microsoft Azure.

 

This course will also prepare you for exams such as Microsoft Azure AI Engineer Associate (AI-100) and Microsoft Azure AI Fundamentals (AI-900).

 

 

#Pursue a Career in AI, Machine Learning, or Data Science

 

According to PwC, AI is expected to contribute over $15 trillion to the global economy by 2030. Data scientists, machine learning engineers, and AI specialists will be at the forefront of this transformation. AI Specialist was the top in-demand role in 2020 in the UK, USA, and Australia, with key skills including machine learning, Python, deep learning, natural language processing, and computer vision.

 

Organisations often struggle with a talent gap when implementing new technologies. This QLMExpertFastTrack will help you develop those essential skills in machine learning, data science, AI, and Python, laying a solid foundation for a career in these fields.

 

#Build an AI Solution with Microsoft Azure

 

With over 95% of Fortune 500 companies using Azure, Microsoft's cloud computing platform is a significant player. This course will introduce you to the core services of Microsoft Azure and its advanced AI functionalities, enhancing your career prospects across various industries.

 

#Develop Python Skills for AI

 

AI relies on predictive models driven by machine learning. This QLMExpertFastTrack will teach you how to build such models using Python. You will develop Python skills to create predictive models, conduct data science research, and undertake various data science projects.

 

#Use Microsoft Azure to Develop an AI Chatbot

 

You will learn to create your own AI chatbot using Azure Cognitive Services. By understanding the basics of natural language processing and utilising LUIS (Language Understanding), you will enhance your chatbot’s AI and functionality.

 

Upon completing this course, you will have a robust understanding of the essential skills needed for a career in machine learning, AI, or data science.

 

 

#Key Skills You Will Learn
– Azure Cloud Portal Administration
– Azure Cognitive Services
– Azure Machine Learning Models
– Python Programming
– Machine Learning Algorithms
– Statistics for AI
– Mathematics for AI
– Microsoft Bot Framework
– Chatbot Development and LUIS Integration

 

#Experience Required

 

There are no entry requirements for this QLMExpertFastTrack. However, basic knowledge of Python, C#, Creative Studio, or experience with data in Excel, databases, or text files may be beneficial.

 

High school-level mathematics and statistics will help in understanding machine learning concepts.

 

Getting Started

 

This QLMExpertFastTrack is ideal for anyone aiming to start a career in AI, machine learning, or data science, AI Automations Expert. Potential roles include:

 

– AI Specialist
– Machine Learning Specialist
– Machine Learning Engineer
– AI Analyst
– AI Statistician
– AI Engineer or Developer
– Data and AI Architect
– Business Intelligence Analyst
– AI Automations Expert

 

Prove You're Job Ready

 

Highlight your new, job-relevant skills with industry-specific digital certificates, one for each course within your QLMExpertFastTrack. Add these credentials to your CV to impress employers and make your career aspirations a reality.

 

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QLMExpertFastTrack Course Overview

 

#Course 1: Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning

 

 

Gain a foundational understanding of AI and machine learning while gaining hands-on experience with Python.

 

Duration: 5 weeks
Hours per week: 5

 

Weekly Breakdown:

 

Week 1: Introduction to Machine Learning
– Course Introduction
– Introduction to Machine Learning
– Exploratory Data Analysis for Regression
– Visualisation for High Dimensions
– Week Wrap-Up

 

Week 2: Data Exploration & Preparation
– Exploratory Data Analysis for Classification
– Data Cleaning
– Data Preparation
– Data Preparation and Cleaning using Python
– Feature Engineering
– Week Wrap-Up

 

Week 3: Regression & Classification
– Regression and Practice
– Classification and Practice
– RoC Curves
– Week Wrap-Up

 

Week 4: Model Improvement Principles & Techniques
– Principles and Techniques for Improving Models
– Cross Validation
– Dimensionality Reduction
– Decision Trees
– Ensemble Methods: Boosting
– Week Wrap-Up

 

Week 5: Machine Learning Algorithms & Unsupervised Learning
– Ensemble Methods: Descent & Decision Forests
– Advanced Machine Learning Algorithms: Neural Networks, SVMs, Naive Bayes
– Unsupervised Machine Learning Labs
– Course Wrap-Up

 

Click here to learn more about #Course 1

 

 

#Course 2: Applied Artificial Intelligence: Speech Recognition Systems

 

 

Understand Automatic Speech Recognition (ASR) systems using Python and AI technology.

 

Duration: 3 weeks
Hours per week: 5

 

Weekly Breakdown:

 

Week 1: Course Introduction and Fundamental Theory
– Course Introduction
– Speech Signal Processing
– CloudSwyft Hands-On Labs
– Week Wrap-Up

 

Week 2: Acoustic and Language Modelling
– Acoustic Modelling
– Deep Neural Network Acoustic Models
– CloudSwyft Hands-On Labs
– Language Modelling
– Language Model Evaluation and Operations
– Week Wrap-Up

 

Week 3: Speech Decoding and Advanced Acoustic Modelling
– Speech Decoding
– WFST, Acceptors and Graph Composition
– CloudSwyft Hands-On Labs
– Advanced Acoustic Modelling Techniques
– Course Completion

 

Click here to learn more about #Course 2

 

 

#Course 3: Applied Artificial Intelligence: Natural Language Processing

 

 

Explore Natural Language Processing's crucial role in generative AI and its core challenges.

 

Duration: 3 weeks
Hours per week: 6

 

Weekly Breakdown:

 

Week 1: Introduction to NLP
– Course Introduction
– Text Processing
– Neural Models for Machine Translation and Conversation Generation
– CloudSwyft Hands-On Labs
– Week Wrap-Up

 

Week 2: Deep Semantic Similarity Model (DSSM)
– DSSM Applications in Information Retrieval and Entity Ranking
– CloudSwyft Hands-On Labs
– Deep Reinforcement Learning
– Vision-Language Multimodal Intelligence
– Week Wrap-Up

 

Week 3: Natural Language Understanding
– Continuous Word Representation
– Neural Knowledge Base Embedding
– Knowledge-Based Question Answering
– CloudSwyft Hands-On Labs
– Course Completion

 

Click here to learn more about #Course 3

 

 

#Course 4: Applied Artificial Intelligence: Computer Vision and Image Analysis

 

 

Learn the significance of computer vision in AI and gain hands-on experience with image analysis.

 

Duration: 4 weeks
Hours per week: 5

 

Weekly Breakdown:

 

Week 1: Introduction and The 5 Algorithms
– Image Processing, Application and Segmentation
– Image Features and Classical Methods
– Clustering and Region Growing
– Week Wrap-Up

 

Week 2: Object Classification and Detection
– Template Matching, Edges, and Corners
– Histogram of Orientated Gradients
– Object Classification and Detection
– Week Wrap-Up

 

Week 3: CNNs, Deep Learning & Deep Segmentation
– Convolutional Neural Networks (CNN)
– Deep Learning
– Deep Segmentation
– Week Wrap-Up

 

Week 4: FCN, Transfer Learning and Course Wrap-Up
– Fully Convolutional Approaches (FCNs)
– Deep Segmenters & Transfer Learning
– Final Assessment and Course Wrap-Up

 

Click here to learn more about #Course 4

 

Master New Skills in Your Chosen Specialist Area
Work through a series of topic-focused courses and pass the final assessment to earn a digital certificate that proves your expertise.

 

 

#QLM BRONZE LEVEL MASTERMIND GROUP

 

 

Joining a study mastermind group, such as the QLM Mastermind Group, significantly enhances learning and upskilling in Generative AI and other AI disciplines through collaborative learning, diverse perspectives, accountability, and access to a wealth of resources. These groups provide expert-led sessions, structured learning pathways, hands-on workshops, a curated resource library, peer mentoring, progress tracking, and personalised feedback, ensuring members stay updated, develop practical skills, and achieve their educational and professional goals more effectively. For more information on how QLM Business Solutions can support your AI business solutions or provide top-tier AI training.

 

Click here to learn more about QLM Master Group