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Bridge your skills gap with tailored courses.
If you already have a great team but need to upskill them on specific tools, topics or technologies, we’re here to help. Our world class trainers deliver instructor-led courses across all areas of data, artificial intelligence and machine learning for Google Cloud and related technologies. We tailor our courses to meet your specific upskilling needs to ensure training is as relevant as possible and your learners can apply their new skills to their day-to-day role right away.
Step 1: Identifying your needs
We’ll hold a scoping workshop with you to help build the right learning pathway (or individual courses) for your business. This includes understanding your existing teams’ skill levels, familiarity with Google Cloud and the products/tools they need to use in their roles. At this stage we also define your logistical requirements including your learners’ geographical locations, preferences for in-person or virtual training, and Skills Assessments to evaluate progress from the program.
Step 2: Course customisation
With a clear understanding of your needs, our learning consultants build a tailored learning program for your business. Once this is agreed, we tailor our curriculums and content to build in relevant hands-on exercises, use cases and examples to maximise the relevance of training for your learners. We can also blend self-paced learning into the program to allow you to utilise on-demand training in addition to our own instructor-led sessions.
Step 3: Delivery
Your learners complete their program, taught by our world-class instructors and with a focus on hands-on, immersive training, with the option of ongoing support in the form of Office Hours. Training is delivered virtually or on-site either at your own offices or at the Datatonic Academy headquarters in the heart of London’s Canary Wharf. We evaluate learner progress throughout the program and we’ll host a retrospective session with you to review success, potential adaptations for future programs and to help you identify the next step on your existing teams’ learning journeys.
Speak to our team today to start your training journey.
Accelerate your Google Cloud skills.
As an authorised Google Cloud training partner, we specialise in helping businesses and individuals to upskill through our world-class training programs. We offer an extensive range of courses, each tailored to your specific needs, with relevant hands-on exercises and use cases to maximise your ability to apply your new skills.
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Trust the experts.
DM Contech Academy is the dedicated training arm of the multi-award-winning Google partner, DM Contech. Our extensive expertise across Google Cloud data, AI, and ML makes us the number one training partner of choice for businesses looking to accelerate their Google Cloud journey.
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Our courses include
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1:1 Support
Coaching and advice from trainers and our team, to help you get the most from your learning journey.
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Hands-on projects
Training that goes beyond theoretical and gives you multiple opportunities to apply your learning.
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Fast-track Certification
We provide the training and support you need to fast-track your Google Cloud certifications.
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Learn with world class trainers.
DM Contech Academy provides world-class training delivered by the very best authorized Google Cloud instructors. Blending theoretical learning with hands-on exercises and 1:1 support, we help learners develop and succeed through engaging virtual or in-person classes.
Our courses
We offer specialist courses on Google Cloud data, AI and machine learning – the core areas where we have unparalleled experience and expertise to share. All courses blend hands-on training with theoretical learning and can be customised to your requirements with industry or business specific use cases.
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Register your interest now
Our courses are designed to help learners reach their potential and to help businesses achieve their goals.
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Data Engineering
Data Engineering is software engineering applied to the movement and processing of Data. A data engineer’s role is to build applications which connect systems, collect data and process that data into a useful format for others in the business. Often this data is ‘big’ and requires distributed frameworks or pipelines to move and process it. A data engineer is a key cog in a data platform as they look after the acquisition of data for analytics, and connecting the output of ML models to operational systems.
Available courses
Data Engineering on Google Cloud
This course provides a hands-on introduction to designing and building data processing systems on Google Cloud Platform. You will learn how to design data processing systems, build end-to-end data pipelines, analyse data, and carry out machine learning. The course covers structured, unstructured, and streaming data.
Pre-requisites:
Google Cloud Foundations or equivalent experience; basic proficiency with common query language such as SQL; experience with data modelling, extract, transform, load activities; experience with developing applications using a common programming language such as Python; familiarity with ML and/or statistics.
Course objectives:
+ Design and build data processing systems on Google Cloud
+ Process batch & streaming data by implementing auto-scaling data pipelines on Dataflow
+ Derive business insights from extremely large datasets using BigQuery
+ Train, evaluate, and predict using machine learning models using Tensorflow & Vertex AI
+ Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
+ Enable instant insights from streaming data
Level: Beginner, Intermediate Length: 4 Days
Step 1
Identifying your needs
Our team can help you choose the right learning path for your business. Register your interest by filling out the contact us form and we'll be in touch to set up a free scoping workshop.
Step 2
Course customisation
Our learning consultants will tailor your required courses to make them as relevant and impactful as possible for your learners.
Step 3
Delivery
Our world-class instructors deliver virtual or in-person classes blending theoretical learning with hands-on labs and demonstrations.
Contact us
Not sure which course is right for you or your business? Get in touch with us and our team will help you decide on your next steps.
Your courses, your way
We believe Cloud skills should be accessible to all. That’s why we offer flexible ways to learn with blended delivery methods and customised content for maximum impact.
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Official Google Cloud Courses
Our team of Authorised Google Cloud trainers can deliver every official course across a range of topics including Analytics, Looker, Infrastructure, Machine Learning, Data Engineering, Networking and more. You can view some example courses below.
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Tailored & Custom Courses
We offer tailored and custom courses to suit your exact business requirements. This includes everything from dialling up or down aspects of standard curriculums, to building and delivering an entirely new course from scratch.
Select learning path
Data Engineering
BI Development & Analytics
DevOps Engineering
Machine Learning Engineering
Generative Al
BI Development & Analytics
Business intelligence (BI) is a set of technologies and practices that transform business information into actionable insights which eliminate inefficiencies and drive change.
Business intelligence (BI) is a set of technologies and practices that transform business information into actionable insights which eliminate inefficiencies and drive change.
Available courses
Intro to BI Development & Analytics
Learn how to design, build, visualise and maintain end-to-end business intelligence solutions to harness real time insights. This course is perfect for existing Data Analysts, Programmers and Data Warehouse Analysts looking to upskill and apply their experience to Google Cloud Platform.
Pre-requisites:
Proficient in SQL
In this course you will learn:
+ fundamentals of Google Cloud platform
+ agile and scrum methodology
+ how to build a BI stack
+ data modelling, data transformation and pipeline building
+ how to understand cloud data architecture
+ how to build a data warehouse
Level: Beginner, Intermediate Length: 5 Days
DevOps Engineering
DevOps is all about the unification and automation of processes, to balance needs throughout the software development life cycle. DevOps engineers are instrumental in combining code, enabling deployment, application maintenance, and application management. Successful DevOps requires not just an understanding of development life cycles but also DevOps philosophy, practices and tools.
Available courses
DevOps Engineering
This course teaches you the skills needed to start using DevOps tools to manage and automate application development and deployment. You will learn how to build continuous integration and deployment pipelines using tools like Git, Docker, Kubernetes, Terraform, Cloud Build, Cloud Run and more.
Pre-requisites:
GCP Foundations or equivalent experience; basic understanding of Linux operating system and commands; some training and experience with Cloud services; programming experience in languages like Java, .NET, JavaScript, etc; scripting experience relevant for Cloud/DevOps with languages like Python or bash shell.
Course objectives:
+ Manage applications using DevOps automation and tools
+ Architect applications using microservices
+ Manage source code and versions using Git
+ Incorporating Cloud security in DevOps
+ Deploy microservices using Docker containers
+ Orchestrate container deployment using Kubernetes (incl. via Cloud Run)
+ Automate deployment resources using Infrastructure as Code tools
+ Build CI/CD pipelines using Cloud Build
+ Ensure service quality using Site Reliability Engineering techniques
Level: Beginner, Intermediate Length: 4 Days
Machine Learning Engineering
Combining software engineering and data science, this branch of AI involves the creation of programmes and algorithms to enable machines to act without being directed, and to learn and improve from data. An ML engineer designs and builds machine learning solutions that are reliable, fair and maintainable.
Available courses
Machine Learning Engineering
Learn how to write, train and optimise Machine Learning models and how to strategically apply ML as a business solution. This course is perfect for existing Data Scientists, Data Engineers and Programmers looking to upskill and learn how to apply ML models in Google Cloud Platform.
Pre-requisites:
Foundational understanding of machine learning concepts; Proficient in a common query language (e.g. SQL); Experience programming in Python
In this course you will learn:
+ fundamentals of Google Cloud platform
+ agile and scrum methodology
+ advanced machine learning techniques and algorithms
+ how hyperparameters impact models in optimisation
+ how to package and deploy your models to a production environment
+ hands-on experience of deploying trained models and evaluating performance
Level: Beginner, Intermediate Length: 2-3 Weeks
Generative AI
Businesses face common challenges of option paralysis by being overwhelmed by GenAI’s versatility, and finding it difficult to keep up with the pace of change. Learn how to leverage Google Cloud to turn your Gen AI projects into reality.
Available courses
Generative AI
The Google Cloud Generative AI learning path guides you through your Generative AI learning journey starting from the foundations and technologies, to the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.
Perfect for
Anyone working with, or hoping to work with, Generative AI on Google Cloud. The pathway goes from introductory courses perfect for decision makers and non-technical roles, through to hands-on advanced courses for technical professionals.
Courses
+ Introduction to Generative AI for Decision Makers
+ Industry Use Cases for Generative AI
+ Writing Effective Prompts for Generative AI
+ Intro to AI & ML on Google Cloud
+ Introduction to Responsible AI for Practitioners
+ Introduction to Developer Efficiency on Google Cloud
+ Application Development with LLMs on Google Cloud
+ Vertex AI Agent Builder