Unlocking the business capacity of AI-powered organizations

Private Training

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.

Unlocking the business capacity of AI-powered organizations

Duration

9 hours including breaks

Type

Tailor-made

Delivery format

ONLINE, Instructor-led

The course was especially tailored for

  • Founders and Co-founders
  • CEO, CIO, CTO
  • Product owners and Senior Product Managers
  • Managing staff (project managers, delivery managers, and others)

Are you ready?

  • Why ones fail while others gain a competitive advantage using AI? - we’ll find the difference.
  • Find 3 types of unexpected business objectives the organization can achieve by deploying AI.
  • Ready to answer what's the right way to start — by small steps or go all-in?
  • 5 must-answer questions to identify if any corporate process adequate for an AI-fueled organization.
  • Get a model of benchmarking study of the AI implementation estimation in the dependance of the deployment script.

Why enroll

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The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

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Special price

From - To

Number of Delegates

The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

Price

${{privatePriceString}}

${{privatePriceStringPerson}} per person

Special price

Training program

Introduction, Definition, Value

  • Scope of AI value

    Business digitalization. Data informed, data-driven, and data-centric businesses. Paradigm shift.

  • Definitions in case studies

    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.

  • Machine learning across domains

    Decision-making improvement: AI for automation, AI for informing. Case studies in retail, travel and hospitality, manufacturing, healthcare, energy.

Data-centric Culture

  • Delivering AI Value

    Challenges and engineering countermeasures. Strategy, technology and operations.

  • Stages of technology adoption

    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.

  • Data Policies as main requirements for supporting of solutions

    How integration of data-driven analytics and data-based products are made to support proven solutions. Requirements of MVP implementation and solution support.

  • Data-driven transformations of business processes

    How new policies change processes inside the company. Roles for a data-driven company. Transformations of a current roles.

Delivery

  • Options and trade-offs

    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.

  • From PoC to MVP

    Cross-industry standard process for data mining methodology adoption.

  • Avoiding caveats in production

    Managing machine learning reproducibility, data pipeline automation, machine learning project management.

  • Comparison of solutions for AI/ML product

    Solutions for Development, Deployment and Support of AI products, their pros and cons with blueprint for estimating the cost.

Quality Assuarance

  • Known issues

    • False negative and False Positive - who has to take the risks and how
    • Legacy systems integration - RPA/Intelligent Automation (AI)
    • Not enough or insufficient data quality
    • HIPAA vs GDPR
  • Real Q&A

    Your questions

Still have questions? Review our FAQ section or feel free to contact us.

Still have questions? Review our FAQ section or feel free to contact us.

{{eventName}}

Select location

When

Number of participants

1
2
3
4
5+

Total price

${{commonPriceString}}

The price rises closer to the type of training. Have time to buy now!

From - To

Number of Delegates

The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

Price

${{privatePriceString}}

${{privatePriceStringPerson}} per person

Special price

From - To

Number of Delegates

The course could be tailored to suit your needs and objectives. It can also be delivered on your premises if preferred.

Price

${{privatePriceString}}

${{privatePriceStringPerson}} per person

Special price

Training from authorized Partner

Meet us

Get updates on upcoming events and new courses, discounts and special offers

Our attendees

Here is what our attendees say about us

/
01

“Biggest value of the course? Combination of conceptual and practical contents. Showing the state-of-the art achievements and hence developing a feeling what can be achieved with DNN”

Arpad Rozsas

Neural Networks and Deep Learning training, Madrid

02

“Quick coverage of content will give me a boost. Format was good - allowed me to see how people including classmates were using NN.”

Cali Chen

Neural Networks and Deep Learning training in Washington DC

03

“What did you like most at the training? Both high level and the details of machine learning.”

Gavin Liu

Machine Learning training in Washington DC

04

“Great experience! Very knowledgeable and friendly trainers. Biggest value of the course - practical examples/issues the trainers provided based on their experience.”

Ramesh Balasubramanian

Machine and Deep Learning Training, San Diego

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Frequently asked questions

Did not find the answer to your question? Drop us a line at training@altoros.com

  • What are the prerequisites?

    At least minimum experience in programming is enough to proceed!

  • What are the available payment options?

    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).

  • Do you offer group discounts?

    Yes, we also offer a discount for groups of 5 or more people who register together.

  • I bought a ticket but occasionally should miss training.

    Please, email to training@altoros.com. Our team will provide you information about the nearest date to your location.

  • What services do you offer after the training?

    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.

  • Will I get a certificate after completion?

    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.

  • Do you offer discounts for individuals?

    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.

  • What size are the groups?

    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.

  • I need to travel to participate in training. Do you help with visa?

    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.

  • Why should I trust Altoros Training?

    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.

Contact us

Looking for a top-notch training course to enhance your team's tech skills, Altoros experts can help. Level up your tech skills with the latest tools and frameworks!

Siarhei Sukhadolski

Siarhei Sukhadolski

Artificial Intelligence Practice Head

siarhei.s@altoros.com650 265-2266

830 Stewart Dr., Suite 119 Sunnyvale, CA 94085