Maxtrain.com - info@maxtrain.com - 513-322-8888 - 866-595-6863
Turbocharge Your Code! Generative AI Bootcamp for Developers
Description
Generative AI Bootcamp for Developers Introduction
Welcome to the “Generative AI Bootcamp for Developers,” a three-day immersive workshop designed specifically for experienced programmers who wish to dive into the exciting world of Generative AI. This field, a cornerstone of artificial intelligence, is renowned for its ability to generate new data instances and innovate content creation across various industries.
Our course equips developers with the skills needed to master Generative AI models, transforming their approach to software development and enabling the creation of dynamic content, code, documentation, and user interfaces. Learn from top experts and gain hands-on experience with leading AI tools and libraries like TensorFlow and Hugging Face Transformers.
We cover the fundamentals of Generative AI, lean into advanced techniques, discuss ethical considerations, and explore practical applications—all within a collaborative and interactive learning environment.
Course Benefits and Learning Outcomes
- Deep Understanding: Develop a foundational understanding of generative AI and its diverse applications.
- Hands-On Skills: Gain practical experience with popular models like GANs, VAEs, and Transformer models.
- Advanced Techniques: Master leading AI libraries and frameworks for implementing generative AI models.
- Custom Model Design: Learn to design, train, and evaluate tailored generative AI models.
- Ethical AI Deployment: Understand and address ethical aspects of generative AI, ensuring responsible use.
Prerequisites
- Python programming experience.
- Basic understanding of AI and machine learning concepts.
- Experience with data manipulation and preprocessing.
Audience
This intermediate-to-advanced level course targets experienced software developers, programmers, and engineers keen on adopting generative AI techniques. Roles that would benefit include software developers, data scientists, machine learning engineers, AI researchers, UI/UX designers, technical product managers, and technical team leads.
Generative AI Bootcamp for Developers Outline
Day 1
Introduction to Generative AI
- Unveil the world of generative AI and its applications.
- Brief history of generative AI
- Overview of generative models
- Types of generative AI techniques
- Applications of generative AI
- Lab: Setting up the development environment
Variational Autoencoders (VAEs)
- Explore VAEs and learn their applications in generative AI.
- Introduction to VAEs
- VAE architecture and training process
- Applications of VAEs
- Comparing VAEs and GANs
- Lab: VAE for image generation: Create images with a VAE model
Deep Learning and GANs
- Dive into the fundamentals of GANs and their applications.
- Introduction to deep learning
- Basic components of GANs
- GAN architecture and training process
- Common GAN variants and applications
- Lab: Simple GAN implementation: Generate synthetic images with GAN
Day 2
Natural Language Generation (NLG)
- Uncover the power of NLG and its applications in generative AI.
- Introduction to NLG
- Overview of language models
- Transformer architecture and variants
- Applications of NLG in generative AI
- Lab: Text generation using GPT: Generate text with GPT-based models; using Hugging Face Transformers
Ethics and Responsible AI
- Understand the ethical implications of generative AI applications.
- AI ethics and its importance
- Bias in generative models
- Responsible AI and best practices
- Future research and open problems
- Lab: Bias detection and mitigation: Identify and mitigate biases in generative models
Multimodal Generative AI
- Discover the potential of combining different data modalities in generative AI.
- Introduction to multimodal AI
- Text-to-image synthesis
- Audio-to-video synthesis
- Applications of multimodal generative AI
- Lab
Day 3
Style Transfer and Neural Art
- Explore the creative side of generative AI with style transfer techniques.
- Introduction to style transfer
- Neural style transfer algorithms
- Applications of style transfer in generative AI
- Limitations and future directions
- Lab: Implement neural style transfer: Create artistic images using neural style transfer
Generative AI in the Real World
- Gain insights on practical applications of generative AI across various domains.
- Generative AI in marketing and advertising
- Generative AI in entertainment and gaming
- Generative AI in healthcare and life sciences
- Generative AI in finance and economics
- Lab: Develop a simple AI-powered application: Build a practical generative AI application
Pulling it all together: Building and Deploying Generative AI Models
- Learn best practices for building, fine-tuning, and deploying generative AI models.
- Model selection and fine-tuning
- Deployment strategies
- Monitoring and maintenance
- Ensuring user privacy and security
- Lab: Build and Deploy a generative AI model
$2395.00
|
3 Days Course |