Explore and master the world of generative models like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). You’ll learn about groundbreaking Large Language Models (LLMs), Transformer architectures, and discover how attention mechanisms augment AI capabilities.
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Advanced Generative AI - Models and Architecture
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Course overview
Explore Advanced AI Models and Architectures
This comprehensive course runs for 15 hours and focuses on cutting-edge generative AI models and frameworks. Perfect for those aiming to specialise in AI, it enhances your understanding of complex architectures and advanced modelling techniques.
Learning objectives
- Understand the importance of generative AI and its modern applications
- Identify and describe various generative AI model types
- Explore the architecture and implications of large language models (LLMs)
- Implement Variational Autoencoders (VAEs) for data generation and anomaly detection
- Understand Generative Adversarial Networks (GANs) and their practical applications
- Explore attention mechanisms, transformer architecture and practical applications of transformers
What you'll learn
Gain hands-on expertise in generative AI, focusing on advanced models and architectures. Expand your skills with practical knowledge that’s applicable across industries.
Introduction to Generative AI and its functions
Consider the significance of generative AI in a product lifecycle, and explore key models, tools, and market analysis automation. Cover the skills of ideation, prototyping, and design automation.
Hone your use of AI modelling for analytics
Look at predictive analytics for customer journey and market trends, SWOT analysis, risk assessment, and roadmap adjustments as well as real-time metrics, feedback analysis, and maintenance prediction.
Ethics and the future of AI
Explore the need for ethical design and privacy, considering the impact of AI evolution.
Augmented reality, virtual reality, and cross-functional teams
Discover the merits of overlaying digital content onto the real world, enhancing real environments with data and visuals with AR. Compare this with the fully immersive digital environments of VR. Explore the necessity of diversely skilled teams to collaboratively develop, test, and refine complex AI models and architectures.
What's included
- 15 hours of instructor-led training in a virtual classroom setting.
FAQs
This advanced course in generative AI models and architecture will immerse you in the world of generative models like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) alongside groundbreaking Large Language Models (LLMs) and Transformer architectures.
Do I need any prior knowledge of generative AI?
While there are no prerequisites for this course, some basic knowledge of generative AI and machine learning principles may be an advantage.
What career paths will the Generative AI Modeling course in Advanced Models & Architecture help with?
With skills in generative AI and prompt engineering, you’ll be well-prepared for innovative roles at the intersection of technology, creativity, and data. These include: Data Analyst/Scientist, Content Strategist/Creator, AI Specialist and Product Manager for AI.
How is this course delivered?
This course is delivered through 15 hours of instructor-led training in a virtual classroom setting. Our virtual courses provide the personal teaching experience of a classroom with the ease and flexibility of a virtual environment. All the benefits, without the travel!
What our customers say
"I am very satisfied with the course! It's definitely worth booking the training with the trainer. The trainer, having obviously lots of experience in the area, explained the material very well. Brilliant job! It was intense, but with good energy and I've learned a lot. Thank you!"
Oksana Sawicka, ILX learner
“Friendly staff who helped me with all my questions and requests very quickly.”
Nathaniel Jenkins, ILX learner
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