Dynamic programming Courses and Certifications

Yannic Kilcher

Imputer - Sequence Modelling via Imputation and Dynamic Programming

Explore a novel sequence-to-sequence model that balances efficiency and performance using imputation and dynamic programming for faster inference in various applications.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Applied Algebraic Topology Network

Computing Gromov-Hausdorff Distances Between Ultrametric Spaces

Explore efficient algorithms for computing Gromov-Hausdorff distances between ultrametric spaces, including complexity analysis and dynamic programming approaches.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Advanced Algorithms - COMPSCI 224

30 reviews

Explore cutting-edge algorithmic techniques through comprehensive lectures, enhancing problem-solving skills and deepening understanding of complex computational challenges.

• YouTube
• 1 day 11 hours
• On-Demand
• Free Video

Introduction to Computational Thinking and Data Science

30 reviews

6.00.2x is an introduction to using computation to understand real-world phenomena.

• edX
• 9 weeks, 14-16 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

University of Alberta;  Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning

24 reviews

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts wi…

• Coursera
• 15 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Algorithmic Toolbox

23 reviews

Master algorithmic techniques for efficient problem-solving: sorting, searching, divide-and-conquer, greedy algorithms, and dynamic programming. Gain practical skills in designing and implementing fast, effective solutions.

• Coursera
• 1 day 16 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Discrete Optimization

12 reviews

Learn how to solve complex search problems using discrete optimization concepts and algorithms in this 8-week course from the University of Melbourne.

• Coursera
• 2 days 17 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

Algorithmic Thinking (Part 2)

9 reviews

Develop advanced algorithmic skills through divide-and-conquer and dynamic programming techniques. Implement algorithms in Python to analyze real-world datasets, enhancing problem-solving abilities across computational domains.

• Coursera
• 12 hours
• On-Demand
• Free Online Course (Audit)

NPTEL;  Chennai Mathematical Institute

Design and Analysis of Algorithms

7 reviews

Learn algorithm design and analysis, covering sorting, graphs, dynamic programming, and complexity theory. Gain practical skills in efficient problem-solving and algorithm implementation.

• YouTube
• 15 hours
• On-Demand
• Free Video

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

1262 ratings at Coursera

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

• Coursera
• 14 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Computability, Complexity & Algorithms

1 review

Learn tools and techniques that will help you recognize when problems you encounter are intractable and when there an efficient solution.

• Udacity
• On-Demand
• Free Online Course

Introduction to Graduate Algorithms

1 review

Learn advanced techniques for designing algorithms and apply them to hard computational problems.

• Udacity
• 12 weeks
• On-Demand
• Free Online Course

Algorithms: Design and Analysis, Part 2

Explore advanced algorithm design techniques like greedy algorithms, dynamic programming, and NP-completeness. Master fundamental concepts through problem sets and programming assignments.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Nvidia Deep Learning Institute;  Unity Microcredential

Deep Reinforcement Learning

356 ratings at Udacity

Master deep reinforcement learning techniques to train AI agents for navigation, financial trading, and multi-agent systems. Implement classical and modern RL algorithms using PyTorch.

• Udacity
• 4 months 4 days 16 hours
• On-Demand
• Paid Course

Learn the skills technical interviewers expect you to know—efficiency, common algorithms, manipulating popular data structures, and how to explain a solution.

• Udacity
• 4 weeks
• On-Demand
• Free Online Course