Machine Learning JumpStarts
Experience what Machine Learning can do for you.
|Focus on Know-how||Focus on coding|
ML GCP Expertise
ML JumpStarts are attractive, concentrated introduction packages to Machine Learning (ML). Applying Google methodology and technology, a JumpStart offers the participant a first-hand, intense experience with machine learning on the Google Cloud Platform (GCP). Combining theory and practical application, it gives participants excellent insights into the manifold capabilities and unique advantages of this platform.
|ML Fundamentals JumpStart||ML Prototype JumpStart||ML GCP Expertise JumpStart||ML MVP JumpStart|
|Level||Entry level||Entry level||Advanced||Advanced|
|Primary type of participants||strategy, business, technical||business, technical||technical||business, technical|
|Introduction to GCP Landscape||⭐⭐⭐||⭐⭐||⭐||⭐|
|In-depth introduction to GCP components||⭐||⭐⭐||⭐⭐⭐||⭐⭐|
|Joint Use Case Analysis||⭐⭐⭐||⭐⭐||–||⭐|
|Deck for Business Pitch||⭐⭐⭐||⭐⭐||–||⭐|
|Working with customer data/scenarios||–||⭐⭐||⭐⭐⭐||⭐⭐⭐|
|Building a minimum viable product (model)||–||–||–||⭐⭐⭐|
|On-site workshop days||2–4||2–5||2–6||4–8|
Note: Positions in each package can be further tailored to meet individual needs.
If you are not sure which package is right for you?
Do not hesitate to get in touch and discuss together which one best fits your situation or how to adjust the focus to meet exactly your needs!
To our ambitious customers we also offer extended/combined JumpStart packages to cover for wider range of audiences and extended goals.
Selection of customers who took a successful deep dive with an ML JumpStart:
ML Fundamentals JumpStart
Description: The ML Fundamentals JumpStart package is aimed at companies with little prior exposure to machine learning, but which are keen to learn more about what machine learning in general can do for them and the Google Cloud Platform in particular. Primarily, this JumpStart consists of one or two on-site workshops with a detailed, ML-specific introduction to the Google Cloud Platform and with a thorough discussion of the customer’s situation, identification of candidate use cases, a feasibility and potential assessment as well as outline of possible solutions.
Practical involvement: The amount of your “hands-on exposure” during this JumpStart is depends entirely on your own preferences.
Result: At the end of the workshops you have gained deep insights into the power and potential of machine learning and the Google Cloud Platform and what it can do for you. You know where you are on the journey towards being a “data-driven company” and are able to make well-informed strategic decisions on your next steps towards adopting machine learning in practice. Back to Overview
ML Practical Prototype JumpStart
Description: The ML Practical Prototype JumpStart package is aimed at companies with as yet limited practical experience with machine learning and which would like to gain insights into machine learning “at work”. The JumpStart consists of a theoretical and a practical part. The former consists of an introduction to the Google Cloud Platform and its wide-ranging machine learning capabilities, followed by an analysis of a handful of possible use cases. In the second part of the JumpStart one use case is selected and building on your data and samples we create a practical prototype. This prototype uses generic components and a pragmatic approach, with the aim of demonstrating within a small amount time how machine learning could look like at your company in practice.
Practical involvement: An active contribution of your team to the implementation of the prototype is encouraged, but beyond providing some data it is not strictly mandatory.
Result: You obtain a very concrete picture of a machine learning application and have a practical illustration to guide you in your further steps.
Back to Overview
ML GCP Expertise JumpStart
Description: The ML GCP Expertise JumpStart package is aimed at a technical audience with already considerable experience in data science, machine learning or some related fields, seeking to acquire in-depth experience with one or more areas of the Google Cloud Platform. The program has a strong practical component. Together we define the areas to be covered. The workshops can be either based on tutorials or you can bring your own scenarios and data.
Practical involvement: This JumpStart by definition relies on the heavy involvement and contribution by all participants.
Result: At the end of this JumpStart you have acquired in-depth expertise in the chosen GCP areas and are able to leverage them successfully for your machine learning initiatives.
Back to Overview
ML MVP (Minimum Viable Product) JumpStart
Description: The ML Minimum Viable Product JumpStart package is aimed at companies which already have a concrete use case and possibly technical model in mind, which they would like to see realised as a proof-of-concept. This package includes a general, but relatively brief introduction to the Google Cloud Platform and more detailed instruction in one chosen ML area (integration, data preparation, model optimisation, prediction serving, …). The main focus, however, is on the practical implementation of a minimum viable prototype. The resulting prototype is specific to your situation.
Practical involvement: To be successful, this JumpStart typically requires a substantial and active contribution from your technical teams at different stages and levels.
Result: At the end you have a practical implementation which you are able to assess in detail and which allows you to decide whether to take it from prototype to practical implementation.
Back to Overview
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