Training: ChatGPT and Imagen in Machine Learning
Level
IntermediateDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedTraining: ChatGPT and Imagen in Machine Learning
The ChatGPT and Imagen in Machine Learning training is a modern, hands-on course focused on using generative models for text and image processing. The workshop combines theory with a strong emphasis on practice (80%), enabling participants to learn how to create and integrate advanced AI models based on ChatGPT and Imagen technology. You will discover techniques for generating both textual and visual content, as well as implementing these methods in Machine Learning projects supporting business, marketing, education, and research.
What will you learn?
- Build and optimize ChatGPT language models for generating contextual responses
- Learn prompting techniques and methods of controlling generated images using Imagen
- Gain practical skills in integrating generative AI models into business applications and processes
- Understand challenges and best practices in monitoring, security, and ethics when working with generative models
Who is this training for?
Developers and AI specialists who want to explore the potential of generative text and image models-
Data Scientists looking for practical skills in implementing ChatGPT and Imagen
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Creative professionals in marketing, education, and design interested in content automation
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Individuals with basic knowledge of machine learning who want to deploy modern generative solutions
Training Program
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Day 1: Introduction and Fundamentals of Generative Models
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Module 1: Architecture and Operation of ChatGPT
- Mechanisms of natural language generation and training large language models
- Practical applications of ChatGPT in chatbots, dialogue automation, and text analytics
- Benefits and risks of widespread AI use in task automation
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Module 2: Introduction to Imagen and Image Generation
- Overview of the Imagen model and its role in creating high-quality images from text
- Basics of prompting and controlling generated visual content
- Workflow: visual data conversion and tool selection for various types of image generation
- Composing and fine-tuning graphic prompts – experimenting with prompt descriptions, exploring limitations and common mistakes
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Day 2: Practical Implementation and Integration
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Module 3: Building Applications with ChatGPT
- Exercises in prompt creation, result interpretation, and interaction optimization
- Integration of ChatGPT with external systems, including security principles and ethical considerations
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Module 4: Practical Use of Imagen in ML Projects
- Creating and fine-tuning prompts to generate images aligned with project requirements
- Automating visual content creation for marketing, design, and education
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Day 3: Advanced Techniques and Practical Sessions
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Module 5: Advanced Challenges with Generative Models
- Combining text and image models in complex AI applications
- Error analysis, improving model quality, and monitoring performance
- Security and ethics topics, including data protection and responsible AI deployment
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Module 6: Project Workshop and Wrap-up
- Realization of mini-projects integrating ChatGPT and Imagen based on participant scenarios
- Discussion on generative AI trends and technology development prospects
