Technologies / Artificial Intelligence

Deep Learning AI techniques for executives and developers

The training provides a comprehensive look at deep learning techniques from two perspectives: business and technical. The program combines an understanding of the strategic aspects of AI implementation with practical knowledge of solution implementation. Classes are conducted in a workshop format, with an emphasis on balancing theory with practice and understanding both the opportunities and limitations of modern deep learning.

Issues

Deep learning architecture
AI project management
Computing infrastructure
The process of learning models
Feasibility assessment
ROI analysis
Risk management
Performance monitoring
Production deployments
Team communication
AI best practices
Strategic planning

Benefits

The participant will develop the ability to strategically plan AI initiatives within the organization
Will gain the ability to assess the feasibility and potential ROI of deep learning projects
Will learn to communicate effectively between business and technical teams in the context of AI
Will learn methods for managing risk in deep learning projects
Will be able to make informed decisions about AI architecture and infrastructure
Will gain an understanding of the process of developing and implementing deep learning models
Will develop the ability to assess the quality and monitor the performance of AI systems
Will gain practical experience in planning and supervising AI projects

Who is this training for?

AI/ML team leaders

Directors of technology departments

Product managers of AI solutions

AI systems architects

Programmers entering the world of AI

Leaders of digital transformation

AI project managers

Technology consultants

Prerequisites

Basic understanding of machine learning concepts
Experience in IT project management
Knowledge of software development processes
Basics of project risk management

Training program

The process of learning models

AI infrastructure

Use case analysis
Project feasibility assessment
Resource management
ROI of AI projects
Implementation of solutions
Choice of architecture

The process of training
Production implementation
AI project management

Risk management
Monitoring progress
Quality assessment

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Deep Learning AI techniques for executives and developers we recommend: Basic understanding of machine learning concepts; Experience in IT project management; Knowledge of software development processes.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: AI/ML team leaders; Directors of technology departments; Product managers of AI solutions.