Udemy – GenAI and Predictive AI Architecture 2025-3

GenAI and Predictive AI Architecture Course. This course explores the architecture, key components, and practical applications of GenAI and Predictive AI in enterprise environments. Rapid advances in artificial intelligence (AI) have led to the emergence of two transformative branches: Generative AI and Predictive AI. This comprehensive course explores the architecture fundamentals, key components, and their practical applications in enterprise environments. Designed for AI professionals, data scientists, and business leaders, this course will help you gain a deep understanding of how these two AI paradigms work, their unique benefits, and their role in shaping the future of automation and decision-making.

What you will learn:

• Fundamentals of Generative AI and Predictive AI
• Understand key components and layers in generative and predictive AI architectures
• Learn the differences between traditional AI, generative AI, and predictive AI, and how to choose the right approach.
• Analysis of Enterprise Artificial Intelligence Architecture and Its Application
• Explore different types of generative AI models, including GANs, VAEs, Transformers, and diffusion models
• Discover best practices for using generative AI in business applications
• Comparing conversational AI vs. generative AI to understand chatbot and AI assistant implementations
• Exploring over 40 real-world uses of generative artificial intelligence in various industries
• Evaluation of leading generative AI tools and platforms, including OpenAI’s GPT models, Google’s Bard, Stability AI, and more
• Learn about popular generative AI models and their key differences
• Understand the differences between large language models (LLMs) and generative AI and when to use each.
• Learn the layers of predictive AI architecture and how to process data for prediction and decision making.
• Exploring various predictive AI models, such as regression models, decision trees, neural networks, and time series forecasting
• Understand how predictive AI works, including receiving data, training a model, and generating predictions
• Gain knowledge on how to implement predictive AI in an organization
• Comparing generative versus predictive AI applications to determine their respective strengths in different scenarios
• Exploring the architecture of generative artificial intelligence supervision
• Learn how predictive AI monitoring architectures work to increase model accuracy, reduce drift, and optimize decision making.

Who is this course suitable for?

• Artificial intelligence and machine learning experts
• Data scientists and analysts
• AI engineers, data scientists, and ML specialists
• Artificial Intelligence Developers
• Data analysts
• C-level executives, AI strategists, and product managers
• Innovation leaders looking to integrate generative AI and predictive AI into business models
• Experts responsible for adopting and governing AI in organizations
• Software engineers and artificial intelligence developers
• Academic researchers and artificial intelligence enthusiasts

GenAI and Predictive AI Architecture Course Specifications

• Publisher:  Udemy
• Instructor:  Edcorner Learning
• Training level: Beginner to advanced
• Training duration: 3 hours and 22 minutes
• Number of lessons: 25

Course headings

GenAI and Predictive AI Architecture Course Prerequisites

• Basic Knowledge of AI
• No advanced programming knowledge is required

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Sample course video

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