Work towards a career in AI, machine learning, and data science by discovering how to design and implement AI solutions using Python and Microsoft Azure.

5-6 hrs per week

Approx 15 weeks

Certificates

Find out more

100% online

How it works

Cost

Find out more

Level

See requirements

  • Course 1

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

    Build your understanding of AI and machine learning before gaining practical experience using Python programming.

    5 weeks

    5 hours per week

    • Week 1

      Introduction to Course and Machine Learning
      • Course Introduction
      • Introduction to Machine Learning
      • Exploratory Data Analysis for Regression
      • Visualisation for High Dimensions
      • Wrapping Up the Week

    • Week 2

      Data Exploration & Preparation
      • Exploratory Data Analysis for Classification
      • Data Cleaning
      • Data Preparation
      • Data Preparation and Cleaning using Python
      • Feature Engineering
      • Weekly Wrap-Up

    • Week 3

      Regression & Classification
      • Regression
      • Putting Regression Concepts Into Practice
      • Classification
      • RoC Curves
      • Putting Classification Concepts Into Practice
      • Weekly Wrap-Up

    • Week 4

      Principles & Techniques of Model Improvement
      • Principles of Model Improvement
      • Techniques for Improving Models
      • Cross Validation
      • Dimensionality Reduction
      • Introduction to Decision Trees
      • Ensemble Methods: Boosting
      • Weekly Wrap-Up

    • Week 5

      Machine Learning Algorithms & Unsupervised Learning
      • Ensemble Methods: Descent & Decision Forests
      • Advanced Machine Learning Algorithm: Neural Networks
      • Advanced Machine Learning Algorithm: SVMs
      • Advanced Machine Learning Algorithm: Naive Bayes Models
      • Unsupervised Machine Learning
      • Unsupervised Machine Learning Labs
      • Wrapping up the Course

  • Course 2

    Applied Artificial Intelligence: Speech Recognition Systems

    Gain an understanding of Automatic Speech Recognition (ASR) systems using Python and AI-powered technology.

    3 weeks

    5 hours per week

    • Week 1

      Course Introduction
      • About this Course
      • Introduction to Fundamental Theory
      • CloudSwyft Hands-On Lab 1
      • Speech Signal Processing
      • CloudSwyft Hands-On Lab 2
      • Wrapping Up the Week

    • Week 2

      Acoustic and Language Modeling
      • Acoustic Modelling
      • Deep Neural Network Acoustic Models
      • CloudSwyft Hands-On Lab 3
      • Language Modelling
      • Language Model Evaluation and Operations
      • Wrapping up the week

    • Week 3

      Speech Decoding and Advanced Acoustic Modeling Techniques
      • Week 3 Welcome and CloudSwyft Hands-On Lab 4
      • Speech Decoding
      • WFST, Acceptors and Graph Composition
      • CloudSwyft Hands-On Lab 5
      • Advanced Acoustic Modeling Techniques | Improved Objective Functions
      • Course Completion

  • Course 3

    Applied Artificial Intelligence: Natural Language Processing

    Learn how Natural Language Processing is a crucial component in generative AI and understand its core problems.

    3 weeks

    6 hours per week

    • Week 1

      Course Introduction
      • About this Course
      • Introduction to NLP
      • NLP and Text Processing
      • Neural Models for Machine Translation and Conversation Generation
      • CloudSwyft Hands-On Lab 1
      • Wrapping up the week

    • Week 2

      Deep Semantic Similarity Model (DSSM)
      • Deep Semantic Similarity Model and its Applications
      • Deep Semantic Similarity Model for Information Retrieval
      • Deep Semantic Similarity Model for Entity Ranking
      • CloudSwyft Hands-On Lab 2
      • Deep Reinforcement Learning
      • Vision-Language Multimodal Intelligence
      • Wrapping up the Week

    • Week 3

      Natural Language Understanding
      • Natural Language Understanding
      • Continuous Word Representation
      • Neural Knowledge Base Embedding
      • Knowledge-Based Question Answering
      • CloudSwyft Hands-On Lab 3
      • Wrapping up the Week & Course Completion

  • Course 4

    Applied Artificial Intelligence: Computer Vision and Image Analysis

    Learn how computer vision is important in AI and gain practical experience of image analysis.

    1 test

    4 weeks

    5 hours per week

    • Week 1

      Introduction and The 5 Algorithms
      • About this Course
      • Image Processing, Application and Segmentation
      • Image Features and Classical Methods
      • Clustering and Region Growing
      • Wrap Up

    • Week 2

      Object Classification and Detection
      • Template Matches, Edges and Corners
      • Histogram of Orientated Gradients
      • Object Classification And Detection
      • Wrap Up

    • Week 3

      CNNs, Deep Learning & Deep Segmentation
      • Convolutional Neural Networks (CNN)
      • Deep Learning
      • Deep Segmentation
      • 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

More courses you might like

Learners who joined this course have also enjoyed these courses.

©2025  onlincourse.com. All rights reserved