Machine learning training
Machine learning has become cornerstone of modern tech, powering everything from personalized recommendations to advanced predictive analytics. As organizations begin to scale AI transformations, the ability to design, train and deploy machine learning solutions is now one of the most sought after skill sets for data teams.
To help you build the expertise needed to thrive in this fast‑evolving field, we’ve curated the leading machine learning courses available right now.
Machine learning courses for all experience levels
Machine learning adoption has become increasingly widespread in recent years, with 81% of Fortune 500 companies using machine learning in their customer service, supply chain and cybersecurity departments.
However significant skills gaps still remain, with many businesses lacking the talent and capability to scale and deploy successful AI projects.
These are the best courses and workforce learning programs to help you develop machine learning capabilities and bridge the gap between ambition and impactful machine learning solutions.
AI Engineer Level 6 Apprenticeship (based on the Machine Learning Engineer standard)
The AI Engineer Level 6 program is designed to help organizations accelerate their AI adoption by developing in‑house specialists who can design, build, and deploy real-world Generative AI and Machine Learning solutions. Rather than relying solely on external consultants or fragmented training, this program grows long‑term AI capability directly within your teams.
This course also benefits from funding through the Growth and Skills Levy, and supports in future-proofing your workforce for the next era of AI transformation.
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AWS Certified Machine Learning Engineer
The certification covers key stages of the machine learning lifecycle, including data preparation, algorithm selection, and model engineering within AWS services.
Learners explore Amazon SageMaker in depth and gain experience in building, deploying, and managing machine learning models in a cloud environment.
It is best suited to professionals who want to work with machine learning solutions in production environments, including those responsible for building, deploying, and operationalising models on AWS.
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Machine Learning on Google Cloud
This course is a powerful way for machine learning engineers to deepen their end‑to‑end skills because it covers the full data‑to‑AI lifecycle on Google Cloud.
By working hands‑on with tools like Vertex AI, BigQuery ML, AutoML, and TensorFlow, learners gain the practical knowledge needed to build scalable ML pipelines and production‑ready AI solutions.
It’s an excellent choice for teams looking to modernize their ML capabilities, accelerate project delivery, and apply industry‑leading Google Cloud technologies to real business challenges.
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Data Science and Machine Learning with R
This five‑day program is an excellent foundation for machine learning engineers because it covers the full data science and ML lifecycle.
It’s an ideal course for anyone looking to advance from analytics into deeper machine learning work or for teams wanting a stronger, more consistent understanding of how data science delivers value across real business projects.
Advanced Machine Learning with Databricks
This advanced Databricks course is ideal for machine learning engineers who want to scale their workflows, because it teaches how to use Apache Spark, MLflow, Unity Catalog, and Databricks’ ecosystem to build, track, and govern models at enterprise level.
It’s a strong choice for teams looking to streamline end‑to‑end ML lifecycle management and operationalise machine learning at scale using modern Databricks workflows.
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Upskill your team in Machine Learning
Machine learning is no longer a niche specialism, it's central to how modern organizations innovate and unlock new sources of value. It empowers business to act faster and make greater data-driven decisions.
We specialize in helping organizations build that capability at scale. Whether you’re upskilling existing teams, growing new AI talent pipelines, or embedding machine learning skills across the wider business, our courses and apprenticeships give your people everything they need to deliver real impact.
This article was written by our team of AI subject matter experts.
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Browse all machine learning courses
Top Machine Learning Courses
Explore the most popular qualifications and certifications in machine learning.
Introduction to AI and Machine Learning on Google Cloud
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects.
Machine Learning Engineering on AWS
Machine Learning (ML) Engineering on Amazon Web Services (AWS) is a 3-day intermediate course designed for ML professionals seeking to learn machine learning engineering on AWS. Participants learn to build, deploy, orchestrate, and operationalize ML solutions at scale through a balanced combination of theory, practical labs, and activities.
Machine Learning on Google Cloud
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions.
ICAgile Agile Project and Delivery Management
This course is designed for data scientists and machine learning practitioners seeking to scale machine learning workflows and implement MLOps best practices using Databricks.
The course is delivered over two four-hour modules, covering Apache Spark for ML, hyperparameter tuning with Optuna, and MLOps automation with Databricks tools such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving.
Data Science and Machine Learning with R
This five-day course is aimed at those who are familiar with data analysis and are interested in learning about how Data Science, Analytics, Machine Learning, and Artificial Intelligence (AI) can be used to yield value from data assets.
Related courses and certifications
Learn more about our machine learning training
Interested in machine learning courses and want to find out more? QA supports individuals of all experience levels to gain new skills in machine learning, AI and data science.
Why choose QA for Machine Learning training?
QA is a leading provider of online and in-person courses for machine learning engineers and similar job roles.
Learn with QA to benefit from access to a wide range of instructor-led courses, as well as a large library of online machine learning content. We also offer apprenticeships, including the Level 6 AI Engineer program.
Our training partners include AWS, Google Cloud, Microsoft and Databricks, and all of our trainers have real-world experience and accredited certifications in machine learning.
Learn more about our AI training experts here.
What does a Machine Learning Engineer do?
Machine learning engineers build the AI that powers the future, turning data into intelligent systems that automate, predict, and innovate across industries.
Learn more about the role of a machine learning engineer here.
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