Boost your data science and AI engineering career with the principles of machine learning and building artificial intelligence solutions with Python and Azure.
5-6 hrs per week
Approx 17 weeks
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Median base salary
£45,000
UK job openings/month
1,724
Course 1
Mastering Cloud Computing for AI: How to Use Microsoft Azure
3.7 (6 reviews)Supercharge your career in AI and machine learning with the fundamental concepts and solutions of Azure and other cloud services.
1 test
2 weeks
6 hours per week
Week 1
Course Introduction
- About this Course
- Cloud Concepts
- Review and Summary: Cloud Concepts
- Core Azure Architectural Components
- Core Azure Services
- Azure Products and Solutions
- Review and Wrapping up the week
Week 2
Azure Fundamentals
- Azure Management Tools
- Networks and Security in Azure
- Azure Governance, Monitoring and Trust
- Privacy, Compliance and Data Protection standards in Azure
- Review and Summary: Security Components
- Azure Pricing and Support
- Review and Summary: Pricing and Support
- Wrap Up and Course Completion
Course 2
Introduction to Artificial Intelligence and Machine Learning
Learn how AI can help you build a future ready career in computer science, with topics including predictive models and chatbots.
3 weeks
6 hours per week
Week 1
Course Introduction
- About this Course
- Artificial Intelligence
- Machine Learning Fundamentals
- Azure Machine Learning Studio
- CloudSwyft Hands-On Lab 1
- Wrapping Up the Week
Week 2
Text Analytics and Image Processing
- Getting Started with Text Processing
- Introduction to Natural Language Processing
- Language Understanding Intelligent Service
- CloudSwyft Hands-On Lab 2
- Getting Started with Image Processing
- Wrapping Up the Week
Week 3
Image Processing, Bots and Beyond the Basics
- Working with Images and Video
- CloudSwyft Hands-On Lab 3
- Introduction to Bots
- Building Intelligent Bots
- CloudSwyft Hands-On Lab 4
- Beyond the Basics
- Where Do I Go From Here?
Course 3
AI Programming with Python for Beginners
Supercharge your career with this course in Python for beginners, covering the Pandas DataFrame and data visualisation tools.
3 weeks
5 hours per week
Week 1
Course Introduction
- About this Course
- Introduction to Python
- Introducing Variables and Types
- Python Lists
- Subsetting Lists
- Manipulating Lists
- Wrapping up the week
Week 2
Introduction to Functions, Methods and Objects
- Introduction to Functions
- Methods and Objects
- Python Packages
- NumPy and NumPy Arrays
- 2D NumPy Arrays
- Basic Statistics with NumPy
- Wrapping up the Week
Week 3
Boolean Logic, Pandas and Data Visualisation
- Boolean Logic and Control Flow
- Pandas
- Plotting with Matplotlib
- Histograms
- Data Visualisation
- Final Labs and Course Wrap Up
Course 4
Mathematics for Data Science: Essential Mathematics for Machine Learning and AI
Learn the mathematical foundations required to put you on your career path as a machine learning engineer or AI professional.
4 tests
4 weeks
5 hours per week
Week 1
Course Introduction
- About this Course
- Algebra Fundamentals
- Exponents and Polynomials
- Factorisation, Quadratic Equations and Functions
- Wrapping Up the Week
Week 2
Differential Calculus
- Differential Calculus Foundations
- Derivatives
- Differentiation
- Wrapping Up the Week
Week 3
Vectors and Matrices
- Vectors
- Matrices
- Matrix Transformations
- Wrapping Up the Week
Week 4
Statistics and Probability
- Visualising Data
- Central Tendencies
- Probability
- Confidence Intervals and Hypothesis Testing
- Wrap Up and Course Completion
Course 5
AI and Machine Learning Algorithms Using Python
Build your understanding of artificial intelligence with Python and machine learning principles for you to form the basis of AI
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
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