Technologies / Artificial Intelligence

Artificial intelligence in practice - data analytics, distributed AI and NLP

The training offers a practical approach to implementing artificial intelligence solutions in an enterprise environment, combining data analysis, distributed systems and natural language processing. The program is structured to show the full life cycle of an AI project - from concept through implementation to production deployment. The class is conducted in the form of workshops with real use cases, where participants learn both the technical aspects of implementation and the organizational challenges of implementing AI. The course particularly focuses on the practical aspects of building scalable AI systems and their integration with existing infrastructure.

Issues

AI systems architecture
Distributed systems
Data processing
Model deployment
Continuous training
Monitoring models
AI security
Orchestration of containers
Performance optimization
Resource management
Testing AI systems
Integration with infrastructure
Zero Trust Architecture
Security policies in the cloud
Authentication and authorization
Application access control
Security monitoring
Risk analysis
Integration with SIEM systems
Security automation
Performance optimization
Responding to incidents
Reporting and analytics
Regulatory compliance

Benefits

Upon completion of the training, the participant will be able to design and implement scalable AI solutions in an enterprise environment
He or she will gain the ability to build AI systems with performance and security requirements in mind
He will be able to manage the entire lifecycle of machine learning models in production
Will learn to integrate AI systems into existing IT infrastructure in a secure and efficient manner
Will master techniques for monitoring and optimizing distributed AI systems
Will gain hands-on experience in solving real-world AI implementation problems.Upon completion of the training, the participant will be able to independently implement and manage security solutions based on the Zscaler platform
The ability to design and implement Zero Trust architecture in an enterprise environment
He will be able to effectively monitor and analyze threats in cloud infrastructure
Will learn to optimize security policies and adapt them to the needs of the organization
Will master techniques for integrating Zscaler with existing security systems
Will gain hands-on experience in responding to security incidents in a cloud environment

Who is this training for?

AI solution architects

ML/AI engineers responsible for implementations

AI/ML team leaders

Data scientists working on implementations

Distributed systems programmers

Systems integration specialists

AI application developers

Prerequisites

Experience in the implementation of ML/AI systems
Knowledge of distributed systems
Basic knowledge of IT security
Understanding the systems architecture
Knowledge of the basics of network security
Experience working with cloud solutions
Basic knowledge of network protocols
Understanding the Zero Trust concept

Training program

Data processing and preparation
Distributed learning systems

Implementation of ML/NLP models
Microservices architecture for AI
Horizontal and vertical scaling
Orchestration of containers

Optimization and monitoring
Performance profiling

Resource management
Debugging distributed systems
Integration and security
Security of AI models

APIs for AI
Testing AI systems

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

Who is the Artificial intelligence in practice - data analytics, distributed AI and NLP training for?

This training is designed for professionals looking to develop skills in artificial intelligence in practice - data analytics, distributed ai and nlp. Required level: intermediate.

How long is the Artificial intelligence in practice - data analytics, distributed AI and NLP training?

The training lasts 3. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.