Packt

Advanced Design and Deployment of Generative AI Applications

Packt

Advanced Design and Deployment of Generative AI Applications

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Build secure GenAI applications with expert guidance

  • Understand the fundamentals of Generative AI and its applications in software engineering

  • Automate coding tasks using AI tools like GitHub Copilot and OpenAI APIs

Details to know

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Recently updated!

September 2026

Assessments

5 assignments

Taught in English

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This course is part of the Generative AI for Software Developers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

This module explores the unique architecture and design principles of generative AI applications, covering topics such as data flow, context-aware frameworks, and integration with real-world systems. Learners will gain insights into how to build scalable, efficient AI solutions using techniques like RAG, LangChain, and map-reduce architectures. The module emphasizes practical implementation and adaptation of generative AI in diverse scenarios.

What's included

1 video11 readings1 assignment

This module covers the fundamentals of reinforcement learning and the design of AI agents, focusing on dynamic decision-making, reward models, and real-world applications like travel assistants and function calling. Learners will gain an understanding of how AI systems learn from feedback and adapt to complex tasks.

What's included

1 video10 readings1 assignment

This module covers strategies for building scalable, secure, and efficient Generative AI (GenAI) applications. It explores techniques like fine-tuning, evaluation with ROUGE and BLEU metrics, and system design considerations such as context awareness and user-centric approaches. Learners will gain practical skills in optimizing and deploying AI systems effectively.

What's included

1 video15 readings1 assignment

This module covers the process of transforming a GenAI prototype into a production-ready application. Learners will explore system design, API integration, deployment strategies, and security practices to ensure scalable and secure AI-driven solutions.

What's included

1 video12 readings2 assignments

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Packt
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