AI and GenAI Development Boot Camp by Tonex
This intensive 2-day boot camp provides hands-on training in AI and generative AI model development. Participants will learn Python for AI, neural networks, and deep learning fundamentals. They will build and fine-tune generative models like GPT and Stable Diffusion, explore AI development tools such as Hugging Face and OpenAI API, and deploy AI applications. The course includes practical exercises like building a chatbot and customizing AI models for specific tasks. Designed for professionals seeking expertise in AI, this program enhances skills in model training, deployment, and integration into real-world applications.
Audience:
- AI developers
- Data scientists
- Software engineers
- IT professionals
- Machine learning practitioners
- Innovation leaders
Learning Objectives:
- Learn Python for AI development
- Understand neural networks and deep learning fundamentals
- Build and fine-tune generative AI models
- Utilize AI development tools and APIs
- Deploy AI applications effectively
Course Modules:
Module 1: Introduction to Python for AI
- Python basics for AI development
- Key libraries: NumPy, Pandas, and TensorFlow
- Data preprocessing techniques
- Writing efficient Python scripts for AI
- Debugging and optimizing AI code
- Best practices for AI programming
Module 2: Fundamentals of Neural Networks and Deep Learning
- Basics of neural networks and activation functions
- Deep learning architectures and frameworks
- Training and optimization of neural networks
- Backpropagation and gradient descent
- Handling overfitting and underfitting
- Introduction to transfer learning
Module 3: Building and Fine-Tuning Generative AI Models
- Understanding generative AI and its applications
- Fine-tuning pre-trained models like GPT and Stable Diffusion
- Training models for specific use cases
- Techniques for improving model performance
- Handling biases in generative AI
- Real-world examples of generative AI
Module 4: APIs and Tools for AI Development
- Overview of AI frameworks and APIs
- Using Hugging Face for AI model deployment
- Working with OpenAI API for NLP tasks
- Introduction to LangChain for AI-driven workflows
- Integrating AI models into applications
- Managing AI projects with cloud-based tools
Module 5: Deploying AI Applications
- Steps to convert AI models into deployable applications
- Model serving and inference techniques
- Deploying AI solutions in cloud and edge environments
- API integration for AI-driven services
- Performance monitoring and optimization
- Ensuring security and compliance in AI deployment
Module 6: Practical Applications and Case Studies
- Building a chatbot using Hugging Face transformers
- Fine-tuning generative models for text and image generation
- Developing AI-driven recommendation systems
- AI-powered automation in business processes
- Case studies on real-world AI implementations
- Future trends in AI and GenAI
Join the AI and GenAI Development Boot Camp by Tonex to gain hands-on experience in AI model building, fine-tuning, and deployment. Enhance your skills and stay ahead in AI innovation. Register today!