AI can create $1.4 trillion to $2.6 trillion of value in marketing and sales across the world’s businesses. Those who realized, AI isn't just hype, are seeking what the technology can do for their business. AI reasonable deployment is not limited to the functions that are already taking advantage of traditional analytics techniques, but what are they? - that's the issue we invite the business to solve together.
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Business digitalization. Data informed, data-driven, and data-centric businesses. Paradigm shift.
Yet another trivia: Data Science, Artificial Intelligence, and Machine Learning, Data Mining, Data Engineering. Experiencing a data set: supervised, unsupervised, and semi-supervised learning. Types of tasks: regression, classification, clustering.
Decision-making improvement: AI for automation, AI for informing. Case studies in retail, travel and hospitality, manufacturing, healthcare, energy.
Challenges and engineering countermeasures. Strategy, technology and operations.
Usage of common approach for solution development in AL/ML technologies adoption. Proof of Concept as “painless” solution for value evaluation and feasibility. Further steps.
How integration of data-driven analytics and data-based products are made to support proven solutions. Requirements of MVP implementation and solution support.
How new policies change processes inside the company. Roles for a data-driven company. Transformations of a current roles.
AI-software as a service (SaaS) and turnkey solutions, Cloud AI APIs; AI platform as a service, fully-managed AI workflow; building custom AI algorithms.
Cross-industry standard process for data mining methodology adoption.
Managing machine learning reproducibility, data pipeline automation, machine learning project management.
Solutions for Development, Deployment and Support of AI products, their pros and cons with blueprint for estimating the cost.
Your questions
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Machine Learning Architect
Vladimir Starostenkov is a skillful ML/AI Architect with a strong expertise in machine learning and artificial intelligence and solid knowledge about distributed computing and embedded software engineering.
Vladimir’s main competencies encompass:
Here is what our attendees say about us
Did not find the answer to your question? Drop us a line at training@altoros.com
At least minimum experience in programming is enough to proceed!
You can pay via all major credit cards (including Visa, American Express, MasterCard, Discover, and more) or PayPal. If you would like to get an invoice for your company to pay for this training, please email to training@altoros.com and provide us with the following info: Name of your Company/Division which you would like to be invoiced; Name of the person the invoice should be addressed to; Mailing address; Purchase order # to put on the invoice (if required by your company).
Yes, we also offer a discount for groups of 5 or more people who register together.
Please, email to training@altoros.com. Our team will provide you information about the nearest date to your location.
We'd be glad to provide you with: Post-training support from our trainers to cover the questions that you or your team might have; Advanced training options or classes on a different domain to widen your expertise and technical skillset (Kubernetes, Cloud Foundry, Artificial Intelligence / Machine Learning); Customized consulting services for project delivery.
Yes! Once you have completed our training, you will be issued a certificate that you can print or add to your LinkedIn profile for others to see. Note: the certificate does not represent official academic credit.
Yes, we offer discounts of up to 10% off for early birds who register for the training in advance. Each discount tier has a limited number of seats and all of our discounts are available in limited quantities. Once we sell out of our discounted seats, we move to full price.
The standard group size is 8-10 people. Small class sizes provide students unparalleled access to instructors, who are seasoned industry veterans with experience building and deploying full-scale AI solutions. Note: The class is contingent upon having 7+ attendees. If there aren’t enough students, we will offer you to attend the class in a different location or date. That is also the reason why we ask not to buy flight tickets before the class is confirmed.
We do not participate in the process of application for visa. However, you can use a confirmation that you have registered for our class and bought the ticket for it. This should support your visa application. If your application is declined, we will refund the ticket.
Being a Google Gold Partner and AI Builder Partner Altoros delivers AI projects to the organizations that operate in various markets, like banking and finance, insurance, manufacturing, and others. An experienced AI team already helped 14 companies with machine learning adoption and delivering competitive advantage by utilizing the benefits of the technology. More than 500 people all over the world were trained and adopted the knowledge of our experts.
Damian Castelli
Chief Delivery Officer
d.castelli@altoros.com650 265-22664900 Hopyard Rd. Suite 100 Pleasanton, CA 94588
