ITechnets

Generative artificial intelligence GenAi

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This course is designed to provide students with a comprehensive understanding of the rapidly evolving field of Generative AI. By the end of the course, students will:

  • Master Core Concepts: Develop a deep understanding of generative models, including their architectures, functionalities, and real-world applications.
  • Apply Theoretical Knowledge to Practical Scenarios: Gain hands-on experience in creating and fine-tuning state-of-the-art Generative Adversarial Networks (GANs) for image synthesis and related computer vision tasks.
  • Leverage Large Language Models (LLMs): Explore the transformative potential of LLMs in natural language processing (NLP) tasks, including summarization, content generation, and conversational AI.
  • Excel in Prompt Engineering: Learn to craft effective prompts to achieve desired outputs from generative AI systems, enhancing their performance across various use cases.
  • Implement Agentic Frameworks: Understand and work with autonomous agents and automation tools like AutoGen to streamline AI-driven decision-making processes.
  • Develop Deployment Expertise: Build and deploy generative AI solutions for industry-relevant scenarios, preparing for advanced applications in gaming, design, healthcare, and education.

This course empowers students to not only understand the “how” of generative AI but also the “why,” enabling them to innovate and lead in this transformative domain.