Program Modules
Module I: Introduction to programming logic
1.1. Algorithm concepts and their importance
- Definition of algorithms.
- Structure of an algorithm: Input, Process, and Output.
- Types of algorithms: iterative, recursive, and algorithmic.
- Examples of algorithms in real life.
1.2. Computational thinking and problem solving
- Breaking down problems into smaller steps.
- Pattern recognition and abstraction.
- Solution structure: Development and optimization.
- Designing efficient algorithms.
1.3. Practice: Solving simple problems with pseudocode
- Modeling real problems with pseudocode.
- Conversions between pseudocode and flowcharts.
- Practical exercise: Developing pseudocode to solve a mathematical problem.
Module 2: UML Software Modeling
2.1. Use case diagrams
- Identification of actors.
- Main and alternative scenario diagrams.
- Extended and general use cases.
2.2. Sequence diagrams
- Representation of the interaction between objects and events.
- Modeling of data flow and message sequence.
2.3. Activity diagrams
- Representation of activities, decisions, and alternative flows.
- Activity diagrams with partitions (swimlanes).
3.1. Data types and operators
- Primitive data types: integers, real numbers, Booleans, text strings.
- Arithmetic, logical, comparison, assignment, and bitwise operators.
- Data type conversion (casting).
3.2. Conditional control structures and loops
- Conditional statements: if, else, elif, switch.
- Counter-controlled loops: for and while.
- Condition-controlled loops: do-while.
- Concepts of recursion vs. iteration.
3.3. Declaration and use of functions
- Return and non-return functions.
- Parameters by value and by reference.
- Nested and recursive functions.
- Use of lambda functions. 3.4. Practice: Problem solving with functions - Functional decomposition exercises for problem solving. - Code modularization to improve reuse.
Module IV: Algorithms and basic data structures
4.1. Lists, tuples, dictionaries, and sets
- Basic operations on data structures: creation, updating, deletion.
- Advanced methods and operations: append, pop, sort, reverse.
- Dictionaries and key-value pair management.
4.2. Sorting algorithms (bubble, selection)
- Step-by-step implementation of sorting algorithms.
- Time and space complexity: O(n^2), O(n log n).
- Comparison between sorting algorithms: efficiency and appropriate use.
4.3. Search algorithms (binary, linear)
- Implementation of sequential search and binary search.
- Conditions necessary for using binary search.
- Comparison of complexities.
4.4. Practice: Implementation of algorithms in Python
- Search and sorting exercises with lists and dictionaries.
- Search code optimization for large volumes of data.
Module V: Introduction to OOP
5.1. Basic concepts of objects and classes
- Definition of objects, classes, attributes, and methods.
- Encapsulation, abstraction, and modularity.
5.2. Creating objects and methods
- Creating and using objects in Python.
- Public, private, and protected methods.
5.3. Inheritance and polymorphism
- Concept of inheritance and class reusability.
- Overridden methods and polymorphism.
5.4. Practice: Modeling objects and their interaction
- Practical exercise for modeling entities using OOP.
Module VI: Introduction to databases
6.1. Types of databases (relational and non-relational)
- Key differences between relational and non-relational databases.
- Examples of relational databases (MySQL, PostgreSQL) and non-relational databases (MongoDB).
- When to use a relational database vs. a non-relational database.
6.2. Database components: Tables, rows, columns
- Defining and creating tables.
- Relationships between tables: one-to-one, one-to-many, and many-to-many.
- Data types in SQL: VARCHAR, INT, DATE, etc.
Module VII: Database Modeling
7.1. Entity-relationship diagrams
- Definition of entities, attributes, and relationships.
- Creation of ER diagrams to represent data models.
7.2. Primary and foreign keys
- Definition of primary keys and how they guarantee the uniqueness of records.
- Foreign keys and their importance in linking tables.
7.3. Database normalization
- Concept of normalization and its levels (1NF, 2NF, 3NF).
- Practical exercises to avoid redundancy in databases.
Module VIII: Fundamentals of SQL
8.1. Creating tables and relationships
- Basic SQL syntax: CREATE TABLE, ALTER TABLE.
- Defining constraints (PRIMARY KEY, UNIQUE, NOT NULL).
8.2. SQL queries: SELECT, INSERT, UPDATE, DELETE
- Read queries: SELECT with filters, operators, and sorting.
- Data insertion, modification, and deletion queries: INSERT INTO, UPDATE, DELETE.
8.3. Aggregation functions: COUNT, SUM, AVG
- Use of functions to calculate aggregates on data sets.
- Data grouping with GROUP BY and filtering with HAVING.
Module II: First Program in Python
- Departures
- Ticket collection
Module III: Using Boolean logic with Python
- If statement
- Else and elif statements
- And and or operators
Module IV: Handling strings and numbers with Python
- Strings in Python
- String methods in Python
- String formatting in Python
- Operators
- Numbers
- Converting strings to numbers and using absolute values
Module V: Lists with Python
- Presenting lists
- Working with numbers in lists
- Manipulating list data
Module VI: While and for loops and dictionaries
- While
- For
- Dictionaries
- Dynamic programming with dictionaries
Modulo VII: Funciones con Python
- Functions
- Function arguments
- Keyword arguments
- Variable arguments
Module VIII: Lambdas and Regular Expression Handling
-Lambdas
-Regular expressions
-Data comprehension
Module IX: Object-oriented programming with Python
- Classes and objects
- Class constructor
- Attributes
- Inheritance
- Encapsulation
- Polymorphism
Module X: Error handling
- How to find errors
- Checking exceptions
- Generating exceptions
Module XI: File Management
- Working with the file system
- Directories and files
- Creating a file, managing files
Current process description
This program combines two levels of training that provide the foundation for starting a career in software development and Python programming. Software Programmer Fundamentals (SOFTF-001):
- Introduces the fundamentals of programming, computational logic, and software modeling
- Participants learn to create algorithms, use UML diagrams, apply control structures, functions, and basic principles of databases and object-oriented programming
- Python Developer Associate (PDA):
- Delves deeper into the Python language to create practical applications
- It includes the handling of data structures, functions, exceptions, files, and object-oriented concepts, preparing students for the development of scripts and functional solutions
- Through the Practical Learning Method approach, participants apply their knowledge in real exercises and projects
- Upon completion, they will be ready to work as junior developers and obtain the SOFTF-001 and PDA international certifications
Objectives
- Acquire the basic knowledge to enter the world of software development. - Create a development environment for Python. - Ability to design, develop, and improve simple computer programs coded in Python. - Adequate knowledge to start learning another programming language. - Experience that allows you to accept a job as a junior developer. - Learn general coding techniques and best practices. - Use object-oriented programming in Python. - Import and use Python modules. - Handle exceptions. - Process files. - Prepare for Python PDA certification.
Prerequisites
Basic computer skills.
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| Programa para certificación internacional Software Programmer Fundamentals + Python PDA | 86 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by Python Certifier
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.
Current process description
This program combines two levels of training that provide the foundation for starting a career in software development and Python programming. Software Programmer Fundamentals (SOFTF-001):
- Introduces the fundamentals of programming, computational logic, and software modeling
- Participants learn to create algorithms, use UML diagrams, apply control structures, functions, and basic principles of databases and object-oriented programming
- Python Developer Associate (PDA):
- Delves deeper into the Python language to create practical applications
- It includes the handling of data structures, functions, exceptions, files, and object-oriented concepts, preparing students for the development of scripts and functional solutions
- Through the Practical Learning Method approach, participants apply their knowledge in real exercises and projects
- Upon completion, they will be ready to work as junior developers and obtain the SOFTF-001 and PDA international certifications
Objectives
- Acquire the basic knowledge to enter the world of software development. - Create a development environment for Python. - Ability to design, develop, and improve simple computer programs coded in Python. - Adequate knowledge to start learning another programming language. - Experience that allows you to accept a job as a junior developer. - Learn general coding techniques and best practices. - Use object-oriented programming in Python. - Import and use Python modules. - Handle exceptions. - Process files. - Prepare for Python PDA certification.
Prerequisites
Basic computer skills.
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| Programa para certificación internacional Software Programmer Fundamentals + Python PDA | 86 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by Python Certifier
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certificationsAll our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.