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Software Programmer Fundamentals AI

Software Programmer Fundamentals AI

With the Software Programmer Fundamentals AI certification, you will build a solid foundation in logic, algorithms, data structures, object-oriented programming, databases, and SQL, while integrating artificial intelligence tools like ChatGPT and Copilot to generate, optimize, and understand code, model solutions, and boost your productivity. You’ll learn to apply AI strategically at every stage of development, combining classical programming fundamentals with the best modern practices, preparing you to face current and future challenges in software development with a critical and innovative mindset.

Exam details



Format: the exam includes true/false questions, multiple choice and single answer, complete concept flows, etc.

Number of questions: 75
Open book: No
Languages: German, Spanish, English, Portuguese (Brazil)
Minimum passing score: 65%
Duration (In minutes): 120 minutes



Programming Logic and Computational Thinking
- Technical terminology glossary
- Binary, hexadecimal, decimal systems and ASCII code
- What is an algorithm? Input – Process – Output
- Types of algorithms: iterative, recursive, conditional
- Problem decomposition and solution design
- Flowcharts and pseudocode exercises
- [AI Applied]: Pseudocode generation and review with AI
- [AI Applied]: Optimization feedback using ChatGPT or Copilot

Software Modeling with UML
- Use case diagrams
- Sequence diagrams
- Activity diagrams (with swimlanes)
- [AI Applied]: Diagram generation from natural language descriptions
- [AI Applied]: Scenario and flow validation with AI

Variables, Control Structures and Functions
- Data types, operators, conditional structures
- Loops (for, while, do-while)
- Function declaration and usage
- Lambda and recursive functions
- [AI Applied]: Generating basic functions and structures from problems
- [AI Applied]: Refactoring and improvement suggestions

Basic Algorithms and Data Structures
- Lists, tuples, dictionaries, sets
- Sorting algorithms: bubble, selection
- Searches: linear and binary
- Introduction to algorithmic complexity (O(n), O(n²))
- [AI Applied]: Automatic code visualization and analysis
- [AI Applied]: Creation of test cases with AI

Object-Oriented Programming (OOP)
- Objects, classes, attributes and methods
- Encapsulation, inheritance, polymorphism
- Creating classes in Python
- [AI Applied]: Assisted design of classes and relationships
- [AI Applied]: Method generation from requirements

Databases and Relational Modeling
- Relational vs non-relational databases
- Tables, columns, relationships: one-to-many, many-to-many
- Entity-Relationship (ER) diagrams
- Primary and foreign keys
- Normalization up to 3NF
- [AI Applied]: Automatic ER model generation from descriptions
- [AI Applied]: Model integrity and consistency review

SQL Fundamentals
- Basic syntax: CREATE, SELECT, INSERT, UPDATE, DELETE
- Filters with WHERE, logical operators, sorting
- Aggregation functions: COUNT, SUM, AVG
- GROUP BY and HAVING
- [AI Applied]: SQL query generation from natural language
- [AI Applied]: Query explanation and statement optimization

Final AI Integration Workshop
- Development of a complete solution integrating all modules
- Partial code generation assisted by AI
- Analysis of the generated solution: error detection, improvements and adjustments
- Final reflection: how to use AI as a tool, not as a substitute for learning

- Anyone interested in acquiring basic knowledge related to software development.
- People interested in starting their career as software developers.



Develop student competencies in the following areas related to software development, enhanced by artificial intelligence:

• Fundamental principles of programming and computational logic
• Programming structures, algorithms, and problem-solving
• Software modeling with UML and AI-assisted design and validation
• Use of AI tools (ChatGPT, Copilot) for code generation, review, and optimization
• Object-oriented programming and handling of data structures
• Relational database modeling and SQL queries assisted by AI
• Strategic application of AI in the software development process
• Documentation and presentation of software solutions supported by AI



Prerequisites:

Basic concepts of computer science

Level: Basic

Exam Duration: 120 Minutos

Modality: Online Proctored

Price: 150 USD

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