Certificate in Algorithmic Learning: Foundations
-- viewing nowThe Certificate in Algorithmic Learning: Foundations is a comprehensive course that equips learners with essential skills in algorithmic thinking, a crucial aspect of modern data science and machine learning. This program covers the fundamentals of algorithms, data structures, and discrete mathematics, providing a solid foundation for further studies in advanced AI and machine learning topics.
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Course Details
• Unit 1: Introduction to Algorithmic Learning
• Unit 2: Basics of Mathematics for Algorithmic Learning
• Unit 3: Data Structures: Foundational Concepts
• Unit 4: Fundamentals of Algorithms and Time Complexity
• Unit 5: Search Algorithms: Linear Search, Binary Search
• Unit 6: Sort Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort
• Unit 7: Graph Algorithms: Depth-First Search, Breadth-First Search, Dijkstra's Algorithm, Minimum Spanning Tree
• Unit 8: Dynamic Programming: Basics and Applications
• Unit 9: Greedy Algorithms: Fractional Knapsack, Activity Selection
• Unit 10: Advanced Topics: NP-Complete Problems, NP-Hard Problems, Approximation Algorithms
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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