Introduction to Artificial Intelligence (AI)
The training provides a thorough introduction to the field of artificial intelligence, covering both theoretical foundations and practical applications. Participants learn the key concepts of machine learning, deep learning and natural language processing. The program is delivered through a combination of theoretical lectures and intensive hands-on workshops, where participants independently implement and train AI models.
Issues
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Mathematical foundations of machine learning
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Supervised learning algorithms
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Unsupervised learning algorithms
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Neural networks and deep learning
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Natural language processing
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Computer vision
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Data preparation and processing
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Evaluation and validation of models
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Transfer learning
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Optimization of hyperparameters
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Machine learning frameworks
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Best practices in AI
Benefits
- The participant will gain fundamental knowledge of artificial intelligence and machine learning
- He will develop practical skills to implement and train AI models in popular frameworks
- He or she will learn to select appropriate algorithms for specific business problems
- He will be able to prepare data for model training and evaluate its quality
- The ability to create and optimize neural networks
- He will master natural language processing and computer vision techniques
Who is this training for?
Prerequisites
- Knowledge of programming in Python
- Fundamentals of mathematics (linear algebra, differential calculus)
- Knowledge of basic statistics
- Ability to think analytically
Training program
History and development of AI
- Types of machine learning
- Preparation of the development environment
- The mathematical underpinnings of AI
Machine learning
- Supervised and unsupervised algorithms
- Decision trees and random forests
Neural networks
- Evaluation of models
Deep learning
- Deep network architectures
- Convolutional neural networks
- Recurrent neural networks
Transfer learning
- Practical implementations
- Natural language processing
Computer vision
- Generating text and images
- Implementing AI models
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 Introduction to Artificial Intelligence (AI) training for?
The target audience includes programmers looking to get started in the AI field, data analysts expanding competencies, and software engineers. Level: beginner.
How long is the Introduction to Artificial Intelligence (AI) training?
The training lasts 5 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
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.
Request a quote
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