Packt

Advanced Algorithms for Modern Applications

Packt

Advanced Algorithms for Modern Applications

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

Recommended experience

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

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Design algorithms for solving complex computational problems

  • Implement graph algorithms for fraud detection and network analysis

  • Understand and apply deep learning techniques and neural networks

Details to know

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Recently updated!

October 2026

Assessments

7 assignments

Taught in English

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This course is part of the 50 Algorithms Every Programmer Should Know Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • 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 delves into advanced sequential modeling techniques, including Seq2Seq models, attention mechanisms, and transformer architectures. Learners will gain insights into how these models process and understand sequences, with a focus on natural language processing. The module also explores the evolution of these models into large language models (LLMs).

What's included

1 video8 readings1 assignment

This module introduces learners to the fundamentals of recommendation engines, covering their types, mechanisms, and real-world applications. It delves into collaborative filtering, explores limitations like the cold start problem, and demonstrates how these systems influence user experiences in industries such as entertainment and e-commerce.

What's included

1 video5 readings1 assignment

This module explores key strategies for optimizing data handling, including data storage algorithms, compression techniques, and the CAP theorem. Learners will gain insights into how these concepts improve system efficiency and decision-making in real-world applications. The content emphasizes both theoretical foundations and practical implementation in cloud environments.

What's included

1 video4 readings1 assignment

This module explores fundamental concepts in cryptography, including symmetric encryption, cryptographic hash functions like MD5 and SHA, and their practical applications in securing data and systems. It provides insights into the design of ciphers and the importance of identifying security requirements. Learners will gain a deeper understanding of how to apply cryptographic techniques in real-world scenarios.

What's included

1 video7 readings1 assignment

This module explores the design and implementation of large-scale algorithms, focusing on scalable infrastructure, multi-resource processing, and tools like Apache Spark. Learners will gain insights into optimizing performance through techniques such as horizontal scaling, GPU utilization, and distributed computing frameworks.

What's included

1 video6 readings1 assignment

This module explores the practical aspects of algorithm deployment, including ethical considerations, explainability, and real-world applicability. Learners will gain insights into how to evaluate and select algorithms responsibly while addressing challenges like bias and data quality.

What's included

1 video6 readings2 assignments

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Instructor

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Packt
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