Advanced Algorithms And Data Structures In Practice Training Course in Ethiopia
Introduction
The Advanced Algorithms and Data Structures in Practice Training Course is tailored for developers, engineers, and technical professionals seeking to master the core principles of computational efficiency and problem-solving in real-world systems. In today’s data-driven and high-performance computing landscape, expertise in advanced algorithm design and data structure optimization is essential to developing scalable, responsive, and fault-tolerant applications.
This hands-on training equips participants with in-depth understanding and practical skills in algorithmic strategies, complexity analysis, dynamic programming, advanced tree and graph structures, and memory-efficient data design. With a focus on applying theory to build faster, cleaner, and more optimized systems, the course prepares learners for industry-leading software engineering, technical interviews, competitive programming, and system architecture roles.
Target Audience
- Software engineers and backend developers
- Competitive programmers and coding bootcamp graduates
- Data scientists and machine learning practitioners
- Technical leads and solution architects
- Computer science students and lecturers
- System programmers and infrastructure developers
- Professionals preparing for technical interviews or certifications
Course Objectives
- Understand time and space complexity for algorithm evaluation
- Analyze and apply recursion, divide-and-conquer, and greedy techniques
- Design and implement custom data structures
- Optimize real-time data processing with heaps, tries, and hash tables
- Explore graph algorithms for search, pathfinding, and connectivity
- Master advanced tree operations including segment and AVL trees
- Apply dynamic programming and memoization in complex use cases
- Implement efficient searching, sorting, and scheduling solutions
- Solve real-world algorithmic challenges through coding labs
- Prepare for algorithmic sections in technical interviews and assessments
Duration
10 Days
Course content
Module 1: Algorithmic Thinking and Problem-Solving Patterns
- Big O notation and complexity classifications
- Brute force vs optimized approaches
- Code refactoring for performance
- Pseudocode and stepwise refinement
- Benchmarking algorithms using profiling tools
Module 2: Recursion, Backtracking, and Divide-and-Conquer
- Recursive strategy design
- Backtracking algorithms for puzzles and combinations
- Merge sort and quicksort deep dive
- Master Theorem and recurrence relations
- Tail recursion optimization techniques
Module 3: Hashing and Hash Table Design
- Open addressing vs chaining
- Hash function selection and collision resolution
- Implementing LRU cache and frequency counters
- Custom hash maps and sets
- Real-time data lookup and retrieval
Module 4: Stack, Queue, and Linked List Engineering
- Implementing circular and doubly linked lists
- Stack-based parsing, expression evaluation
- Queue variations: dequeues and priority queues
- Use cases in memory management and task scheduling
- Detecting cycles and reversing structures
Module 5: Advanced Trees and Binary Search Variants
- Binary search trees and traversal optimization
- AVL and Red-Black Trees
- Segment trees and Fenwick trees
- Range queries and interval trees
- Balanced tree design in scalable applications
Module 6: Graph Theory and Pathfinding Algorithms
- Representing graphs using adjacency structures
- BFS, DFS, and topological sorting
- Dijkstra’s and A* for shortest path
- Union-Find for connected components
- Network flow and bipartite matching
Module 7: Heaps, Tries, and Memory-Efficient Structures
- Min-heaps and max-heaps for scheduling and queues
- Trie trees for prefix-matching and autocompletion
- Disjoint set union (DSU) optimization
- Bloom filters and space-conscious hashing
- Skip lists and randomized structures
Module 8: Dynamic Programming and State Optimization
- Memoization and tabulation strategies
- Subproblem identification and DP array design
- Longest common subsequence and knapsack problems
- Optimizing overlapping subproblems
- Using bitmasking and rolling arrays in DP
Module 9: String Algorithms and Pattern Matching
- KMP, Rabin-Karp, and Z-algorithms
- Suffix arrays and tries
- Palindrome decomposition and substring analysis
- Anagram and permutation problems
- Text compression and string hashing
Module 10: Sorting, Scheduling, and Greedy Algorithms
- Advanced quicksort variants and optimizations
- Job sequencing, interval scheduling
- Huffman coding and greedy heuristics
- Greedy vs DP comparisons
- Sorting stability and performance analysis
Module 11: Practical Use Cases and System Integration
- Caching algorithms for backend systems
- Indexing and search in large-scale databases
- Ranking and recommendation engines
- Algorithm-driven trading and simulations
- Log parsing and anomaly detection
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Training Venue
The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.
| Dates | Fees | Location | Apply |
|---|---|---|---|
| 07/07/2025 - 18/07/2025 | $3000 | Nairobi, Kenya |
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| 14/07/2025 - 25/07/2025 | $5500 | Johannesburg, South Africa |
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| 14/07/2025 - 25/07/2025 | $3000 | Nairobi, Kenya |
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| 04/08/2025 - 15/08/2025 | $3000 | Nairobi, Kenya |
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| 11/08/2025 - 22/08/2025 | $3500 | Mombasa, Kenya |
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| 18/08/2025 - 29/08/2025 | $3000 | Nairobi, Kenya |
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| 01/09/2025 - 12/09/2025 | $3000 | Nairobi, Kenya |
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| 08/09/2025 - 19/09/2025 | $4500 | Dar es Salaam, Tanzania |
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| 15/09/2025 - 26/09/2025 | $3000 | Nairobi, Kenya |
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| 06/10/2025 - 17/10/2025 | $3000 | Nairobi, Kenya |
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| 13/10/2025 - 24/10/2025 | $4500 | Kigali, Rwanda |
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| 20/10/2025 - 31/10/2025 | $3000 | Nairobi, Kenya |
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| 03/11/2025 - 14/11/2025 | $3000 | Nairobi, Kenya |
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| 10/11/2025 - 21/11/2025 | $3500 | Mombasa, Kenya |
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| 17/11/2025 - 28/11/2025 | $3000 | Nairobi, Kenya |
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| 01/12/2025 - 12/12/2025 | $3000 | Nairobi, Kenya |
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| 08/12/2025 - 19/12/2025 | $3000 | Nairobi, Kenya |
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