AI Engineer career pathway

Break into AI Engineering and earn £55k–£100k in just 12–18 months—no coding experience required.

£65k Avg. UK Salary12–18 Months to QualifyNo Coding NeededFastest-Growing Field
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About the pathway

Are you ready to embark on an exciting journey into the field of artificial intelligence? Our "How to Become an AI Engineer" pathway equips you with the skills, certifications, and knowledge needed to excel in AI development, including data engineering, machine learning modelling, large language models (LLM) and AI Solutions Development. With a focus on industry-recognised qualifications, this comprehensive pathway is designed to help you master Microsoft's AI and Azure tools, giving you a competitive edge in the rapidly evolving tech landscape.

This pathway includes seven cutting-edge courses and certifications, carefully curated to ensure you meet the latest industry demands. Developed in collaboration with top industry experts and accredited by globally respected organisations, these certifications set the foundation for a successful career in AI engineering. Whether you're new to data science or looking to deepen your expertise, this pathway provides a clear route to becoming a professional AI engineer.

Join us and earn your certifications in artificial intelligence, unlocking countless opportunities in one of the fastest-growing and most in-demand industries in the world. Enrol now to launch your career in AI engineering and make a real impact on the future of technology.

Key Skills You'll Gain

  • Comprehensive understanding of data fundamentals and Python programming through our introductory courses.
  • Mastery of Microsoft Azure data services and AI principles with DP-900 and AI-900 certifications.
  • Advanced data engineering skills with Microsoft Fabric Data Engineer Associate (DP-700).
  • Expertise in AI solution development and implementation with AI-102 certification.
  • Advanced data science and machine learning skills with Microsoft Azure Data Scientist Associate (DP-100).
  • Practical skills in AI development, machine learning modelling, and large language models (LLM), preparing you for real-world challenges.

Career Outcomes

The average salary for AI engineers in the UK is around £65,000, with typical salaries ranging from £55,000 to £100,000 depending on experience, programming skills, and sector. The field offers exceptional growth potential as AI adoption expands.

Entry Level

AI/ML Engineer (Junior)£30k-£40k
Data Analyst£28k-£38k
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Mid Level (2-5 years)

AI Engineer£45k-£65k
Machine Learning Engineer£50k-£75k
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Senior Level (5+ years)

Lead AI Engineer£70k-£100k
Head of AI/Data Science£90k-£140k+
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Course Details

Course Overview

Gain a solid foundation in data concepts, database structures, and data management. This module prepares you for more advanced data and AI topics.

Modules
  • Data Fundamentals
  • Database Concepts
  • Data Storage & Retrieval
  • Data Security Basics
Certification Earned

Upon successful completion of this course, you will have a comprehensive understanding of database fundamentals, SQL programming, and data modelling techniques. These skills form the essential foundation for any data engineering career.

Course Statistics
  • Duration: 20 hours
  • Modules: 4
Course Benefits
  • Foundation for AI engineering
  • Essential data knowledge
  • Database fundamentals
  • Data management skills
  • Industry-standard practices

Course Overview

Learn the basics of Python programming, including syntax, data structures, and scripting for data analysis and AI applications.

Modules
  • Python Basics
  • Data Structures
  • Functions & Scripting
  • Python for Data Analysis
Certification Earned

Certificate of Completion: Introduction to Python

Course Statistics
  • Duration: 25 hours
  • Modules: 4
Course Benefits
  • Python programming skills
  • Data analysis capabilities
  • AI development foundation
  • Industry-standard language
  • Versatile programming skills

Course Overview

Master the core concepts of data in the cloud, including relational and non-relational data, analytics, and Microsoft Azure data services.

Modules
  • Core Data Concepts
  • Relational Data in Azure
  • Non-relational Data in Azure
  • Analytics Workloads in Azure
Certification Earned

Microsoft Certified: Azure Data Fundamentals (DP-900)

Course Statistics
  • Duration: 30 hours
  • Exam: DP-900
  • Modules: 4
Certification Benefits
  • Globally recognised Microsoft certification
  • Validates fundamental cloud knowledge
  • Enhances career prospects in AI
  • Prerequisite for advanced Azure certifications
  • Digital badge for professional profiles

Course Overview

Understand the basics of AI and machine learning, and how to use Microsoft Azure AI services for real-world applications.

Modules
  • AI Workloads and Considerations
  • Fundamental Principles of Machine Learning
  • Computer Vision, NLP, and Conversational AI
  • Azure AI Services
Certification Earned

Microsoft Certified: Azure AI Fundamentals (AI-900)

Course Statistics
  • Duration: 30 hours
  • Exam: AI-900
  • Modules: 4
Certification Benefits
  • Industry-recognised Microsoft AI certification
  • Validates AI and ML knowledge
  • Enhances AI engineering expertise
  • Foundation for advanced AI certifications
  • Demonstrates cloud AI proficiency

Course Overview

Develop advanced data engineering skills, including data integration, transformation, and analytics using Microsoft Fabric and Azure services.

Modules
  • Data Engineering Concepts
  • Data Integration & Transformation
  • Analytics Solutions
  • Data Security & Compliance
Certification Earned

Microsoft Certified: Fabric Data Engineer Associate (DP-700)

Course Statistics
  • Duration: 35 hours
  • Exam: DP-700
  • Modules: 4
Certification Benefits
  • Advanced Microsoft data engineering certification
  • Validates data engineering expertise
  • Enhances AI infrastructure skills
  • Foundation for AI solution development
  • Demonstrates enterprise data capabilities

Course Overview

Gain expertise in designing, building, and deploying AI solutions using Microsoft Azure Cognitive Services, Bot Services, and data science tools.

Modules
  • Designing AI Solutions
  • Implementing Computer Vision & NLP
  • Integrating Conversational AI
  • Deploying & Monitoring AI Solutions
Certification Earned

Microsoft Certified: Azure AI Engineer Associate (AI-102)

Course Statistics
  • Duration: 40 hours
  • Exam: AI-102
  • Modules: 4
Certification Benefits
  • Prestigious Microsoft AI engineering certification
  • Validates advanced AI solution skills
  • Enhances AI engineering career prospects
  • Demonstrates enterprise AI capabilities
  • Foundation for AI leadership roles

Course Overview

Master advanced data science and machine learning techniques, including model training, evaluation, and deployment using Azure Machine Learning.

Modules
  • Data Science Process
  • Model Training & Evaluation
  • Machine Learning Operations (MLOps)
  • Deploying ML Models in Azure
Certification Earned

Microsoft Certified: Azure Data Scientist Associate (DP-100)

Course Statistics
  • Duration: 40 hours
  • Exam: DP-100
  • Modules: 4
Certification Benefits
  • Elite Microsoft data science certification
  • Validates advanced ML and AI skills
  • Enhances AI engineering expertise
  • Demonstrates MLOps capabilities
  • Foundation for AI leadership positions
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