Generative AI for Developers
Turbocharge Your Code! Generative AI Boot Camp for Developers is a three-day, hands-on intensive course designed for experienced programmers who want to master generative AI techniques for modern software development. The course covers foundational concepts through advanced applications of generative AI, enabling developers to generate code and documentation, automate testing, enhance UI/UX, and build adaptive, AI-driven applications.
Participants work with advanced generative models—including GANs, VAEs, and Transformer-based architectures—and gain practical experience using industry-leading tools such as TensorFlow, Keras, and Hugging Face Transformers. The curriculum also addresses ethical and responsible AI practices, ensuring participants can deploy generative AI solutions safely and effectively in real-world environments.
By the end of this course, participants will be able to:
- Understand generative AI concepts and their applications in software development
- Work hands-on with generative models such as GANs, VAEs, and Transformers
- Use frameworks like TensorFlow, Keras, and Hugging Face Transformers to implement AI solutions
- Design, train, optimize, and evaluate custom generative AI models
- Fine-tune pre-trained models for targeted development tasks
- Generate code, documentation, tests, and adaptive UI/UX components using AI
- Integrate generative AI into existing software projects and workflows
- Deploy generative AI solutions in cloud and on-premises environments
- Address ethical, legal, and safety considerations, including bias and responsible AI use
- Experienced software developers and programmers
- Data scientists expanding into generative AI
- Machine learning engineers specializing in generative models
- AI researchers exploring applied generative AI techniques
- UI/UX designers leveraging AI for dynamic interfaces
- Technical product managers overseeing AI-driven products
- Technical team leads guiding AI adoption in development teams
This is a highly technical course. To gain maximum value, participants should have:
- Python programming experience (including familiarity with NumPy and Pandas)
- Basic understanding of AI and machine learning concepts (neural networks, supervised/unsupervised learning, optimization)
- Experience with data manipulation and preprocessing (text, images, and structured data)
Recommended prior courses or equivalent knowledge:
- AI & Machine Learning JumpStart | Introduction to AI, AI Programming & Machine Learning
- Fast Track to Python for Data Science and/or Machine Learning