HRDC Registration Number: 10001466096
Duration: 21 Hours (3 Days)
Course Overview
This course explores the fundamentals and advanced applications of Generative AI and Prompt Engineering. Participants will learn to build and fine-tune generative models like GPT and DALL-E, optimize AI outputs through prompt engineering, and address ethical considerations. The program combines theoretical insights with hands-on projects to create and manipulate AI-generated content for diverse industries.
Who Should Attend
Industries:
- Technology and Software Development
- Marketing and Advertising
- Media and Entertainment
- Healthcare
- Finance
Participants:
- Data Scientists
- Machine Learning Engineers
- AI Researchers
- Software Developers
- Professionals in content creation, marketing, and design
Why Choose This Course
This HRDC-claimable course (Reg. No: 10001466096) offers hands-on learning to effectively utilize Generative AI tools for innovation across industries, while addressing ethical concerns for responsible AI implementation.
Learning Outcomes
Participants will:
- Understand the key concepts and technologies behind Generative AI.
- Build and fine-tune generative models using frameworks like GPT and DALL-E.
- Master prompt engineering techniques to optimize AI performance.
- Explore real-world use cases in industries like marketing, healthcare, and design.
- Analyze the ethical implications and limitations of generative models.
- Develop a complete AI application through a hands-on project.
Prerequisites
- Basic understanding of machine learning concepts.
- Familiarity with Python programming.
- Knowledge of neural networks and deep learning frameworks.
Lab Setup
- High-performance computing resources or cloud platforms (AWS, Google Cloud, Azure).
- Installation of PyTorch, TensorFlow, OpenAI GPT models.
- Jupyter Notebook environment for interactive coding.
Teaching Methodology
- Lectures and presentations for foundational learning.
- Hands-on labs and coding exercises.
- Real-world case studies and group discussions.
- Project-based learning for practical application.
