5 Day Machine Learning Engineering Workshop

GPSE Consulting has developed a 5 day machine learning engineering workshop that covers the Machine Learning theory, algorithms and coding your internal development team needs to successfully begin building machine learning systems.

By making the investment in your team, you’ll be able to begin deploying machine learning solutions within your organization. You’ll have the skills and expertise in-house to begin solving business challenges and recognize where third-party expertise may be needed, while reducing the need to use external programmers and engineers.

At a glance, GPSE Consulting’s Machine Learning Engineering Workshops include:

Day 1: Introduction to Machine Learning - Great solutions start with a great set of data; learn how to prepare and process data with Pandas.

Day 2: Classification, Training and Inference - Learn supervised learning and classification methods along with Sklearn for training and predicting.

Day 3: Regression Modeling and Hyperparameter Search - Supervised learning, regression modeling and Sklearn for pipelining and hyperparameter search.

Day 4: Deep Learning with TensorFlow - Learn how to make your smart machines smarter by training neural network with TensorFlow.

Day 5: Scalable Machine Learning  Services - Explore services and learn best practices to design machine learning systems that scale to large amount of data

The course content is based on a decade of industry experience building machine learning systems at some of the world’s leading data science organizations. This is a fast-paced, fun and informative five day workshop that delivers the expertise your engineers need to successfully build a machine learning predictor in your environment.

Five days isn’t a lot of time to acquire these skills, so we stay laser-focused on libraries, coding and engineering of machine learning systems. We discuss theory as it’s needed to understand how to build solutions, without spending too much time in the weeds.

What to Expect: This is a hands-on workshop. Participants will complete code exercises and compete to find out: who can train the best predictor? Class sizes are limited to 10 participants per workshop to ensure each student receives ample guidance and instruction from our facilitator.

Who Should Attend: Because this is a hands on workshop, this is a workshop for coders and engineers with basic Python skills. Skills a little rusty? We’ll email a tutorial and refresher materials a few weeks before the workshop so you can prepare.

Learning Format: Algorithms and other course material will be provided via lectures, then coding will begin live in the classroom using relevant material. Participants will compete to see who can build the best predictor.

Technical Details: The learning environment is fully-hosted; only a laptop is required. No setup is required.

What You’ll Learn: This course has a strong focus on engineering and real-world applications: you’ll learn the hyperparameters that actually matter, what the libraries’ APIs look like and what questions to answer in a design document for a machine-learning system.

Venue: This workshop is conducted on your site, making it easier to train an entire engineering team at once. If necessary, alternative venues such as conference rooms can be arranged.  

Get Ready! GPSE Consulting provides refresher materials on Python and other skills so participants can prepare to hit the ground running in this fast-paced workshop. We also provide ample reference materials so your engineers can continue developing their machine-learning engineering skills once the workshop is completed.