Packt

Advanced Architectures Data, AI, and Modernization

Packt

Advanced Architectures Data, AI, and Modernization

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

Recommended experience

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

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explore the key roles and responsibilities of a solutions architect in enterprise environments.

  • Apply design principles to create high-performance, cost-effective solutions.

  • Develop a DevOps and CloudOps mindset to improve collaboration and operational efficiency.

Details to know

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Recently updated!

October 2026

Assessments

7 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Solutions Architect’s Handbook 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 6 modules in this course

This module covers the fundamentals of data engineering, including big data architecture, data ingestion, storage options, and processing technologies. Learners will gain insights into choosing the right tools for data pipelines and understanding the differences between relational and non-relational databases. The module also explores modern data storage solutions like data lakes and lakehouses.

What's included

1 video14 readings1 assignment

This module covers key aspects of building and managing machine learning architectures, including model pipelines, cloud integration, evaluation techniques, and interpretability. Learners will gain an understanding of how to design scalable and efficient ML systems while addressing real-world challenges like overfitting and deployment.

What's included

1 video10 readings1 assignment

This module provides an in-depth exploration of generative AI architecture, covering core components like FMs, GANs, VAEs, and transformer models. It also explains how to implement and optimize these systems for real-world applications, including cloud integration and avoiding common pitfalls like model hallucinations.

What's included

1 video11 readings1 assignment

This module explores the challenges of maintaining legacy systems, strategies for modernization, and cloud migration techniques. Learners will gain insights into security risks, modernization approaches, and the benefits of cloud-based solutions for system upgrades. The content equips professionals with practical knowledge to make informed decisions about system rearchitecture.

What's included

1 video9 readings1 assignment

This module provides an in-depth overview of Solution Architecture Documents, covering their purpose, structure, and key sections such as business context, data architecture, and appendices. Learners will gain the skills to create and structure SADs effectively for various project types, including new product development, modernization, and cloud migration.

What's included

1 video5 readings1 assignment

This module focuses on developing essential soft skills for solutions architects, including communication, adaptability, and leadership. Learners will explore how to take ownership, engage in hands-on problem-solving, and align with organizational goals. By the end, they will be equipped to lead effectively in dynamic technical environments.

What's included

1 video4 readings2 assignments

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Packt
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