Programming Courses - Certifications

The following courses need prerequisites to pursue.

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Course Name: Java SE

  • Duration: 60 Hours
  • Who Should Do This: Beginners interested in programming or students planning to dive into computer science and anyone interested in starting with structured programming.
  • Prerequisites: None. Logical thinking is a plus.
  • Career Options After Learning: Junior Programmer, Software Tester, Embedded Systems Developer.
  • Road Map:
    1. Understanding Basic Syntax and Data Types
    2. Control Structures (Loops, Conditional Statements)
    3. Functions and Recursion
    4. Arrays and Pointers
    5. Structures and File Handling
    6. OOP concepts and STL
    7. Building small projects combining C and C++.

Course Name: Oracle

  • Duration: 60 Hours
  • Who Should Do This: Anyone interested in developing scalable applications or Android apps
  • Prerequisites: Basic knowledge of programming concepts
  • Career Options After Learning: Java Developer, Android Developer, Backend Developer.
  • Road Map:
    1. Java basics, syntax, and OOP concepts.
    2. Advanced Java (collections, multithreading, exception handling).
    3. JDBC and database integration.
    4. Final project and real-world applications.

Course Name: C#.Net

  • Duration: 60 Hours
  • Who Should Do This: Beginners and professionals interested in data analysis, web development, or AI/ML.
  • Prerequisites: None.
  • Career Options After Learning: Python Developer, Data Analyst, AI Engineer.
  • Road Map:
    1. Python basics, syntax, and OOP concepts.
    2. Advanced Python (Libraries, FIle Handling, modules).
    3. Database integration.
    4. Final project and real-world applications.

Course Name: AWS

  • Duration: 60 Hours
  • Who Should Do This: Beginners and professionals interested in data analysis, web development, or AI/ML.
  • Prerequisites: None.
  • Career Options After Learning: Python Developer, Data Analyst, AI Engineer.
  • Road Map:
    1. Python basics, syntax, and OOP concepts.
    2. Advanced Python (Libraries, FIle Handling, modules).
    3. Database integration.
    4. Final project and real-world applications.

Course Name: Outsystems

  • Duration: 90 Hours
  • Who Should Do This: Students preparing for competitive programming or technical interviews.
    Programmers who want to enhance their problem-solving skills.
  • Prerequisites: Basic knowledge of any programming language (C, C++, Java, or Python).
    Logical thinking and a basic understanding of algorithms
  • Career Options After Learning: Software Developer, Algorithm Engineer, Competitive Programmer, Technical Interview Coach.
  • Road Map:
    1. Introduction to DSA: Why it matters in programming.
    2. Arrays, Strings, and Linked Lists.
    3. Basic Searching (Linear Search, Binary Search) and Sorting (Bubble Sort, Quick Sort).
    4. Stacks and Queues: Applications and implementations.
    5. Recursion: Understanding and solving problems recursively.
    6. Trees: Binary Trees, Binary Search Trees, and Tree Traversals.
    7. Graphs: Representation, BFS, DFS, and shortest path algorithms (Dijkstra’s, Floyd-Warshall).
    8. Advanced Searching and Sorting algorithms.
    9. Dynamic Programming: Problem-solving and memoization techniques.
    10. Hashing and Hashmaps.
    11. Advanced Data Structures: Tries, Heaps, Segment Trees, and Disjoint Set Union (DSU).
    12. Final Project: Solve a real-world problem using efficient algorithms and data structures.