Course Modules
MODULE I: PROGRAMMING LOGIC AND PROMPT ENGINEERING
- 1.1. Algorithms and Computational Thinking: Structure (Input, Process, Output).
- 1.2. AI as a Logical Assistant: Use of LLMs (ChatGPT, Claude) for breaking down complex problems.
- 1.3. Prompt Engineering for Developers: How to write instructions to obtain accurate pseudocode and clear business logic.
- 1.4. Practice: Creation of hybrid algorithms (Human + AI) and validation of AI-assisted logic.
MODULE II: AI-ASSISTED SOFTWARE MODELING (UML)
- 2.1. Use Case and Sequence Diagrams: Identification of actors and flows.
- 2.2. Diagram Automation: Use of AI tools to generate Mermaid.js or PlantUML code from natural language descriptions.
- 2.3. Activity Diagrams: Representation of workflows optimized by AI.
MODULE III: CONTROL STRUCTURES AND FUNCTIONS WITH COPILOTS
- 3.1. Data Types and Operators: Technical fundamentals.
- 3.2. Function Programming: Use of GitHub Copilot or Cursor for writing lambda and modular functions.
- 3.3. Refactoring with AI: How to ask an AI to improve the readability and efficiency of a conditional code block.
- 3.4. Practice: Development of a logical module where the AI generates the boilerplate and the student performs integration and auditing.
MODULE IV: ALGORITHMS, DATA STRUCTURES, AND COMPLEXITY
- 4.1. Advanced Structures: Lists, dictionaries, and sets.
- 4.2. Algorithm Optimization: AI-assisted analysis of O(n) complexity.
- 4.3. Debugging with AI: Techniques to identify logic errors and bottlenecks in search and sorting algorithms using language models.
MODULE V: OOP AND SUGGESTED DESIGN PATTERNS
- 5.1. Classes and Objects: Encapsulation and abstraction.
- 5.2. Inheritance and Polymorphism: Implementation in Python.
- 5.3. AI for Class Design: Generation of class structures and design pattern suggestions based on real-world requirements.
MODULE VI: ARCHITECTURE AND DATABASES (SQL & NoSQL)
- 6.1. Data Ecosystem: Differences between relational and non-relational databases.
- 6.2. Schema Design: Use of AI to propose table architectures based on a narrative business description.
- 6.3. Relationships: One-to-many and many-to-many.
MODULE VII: STRATEGIC MODELING AND NORMALIZATION
- 7.1. Entity-Relationship Diagrams (ERD): Visual and technical design.
- 7.2. Normalization (1NF, 2NF, 3NF): Redundancy validation assisted by AI tools.
- 7.3. From Natural Language to Data Models: Techniques to convert client requirements into table creation scripts (DDL) automatically.
MODULE VIII: SQL FUNDAMENTALS & AI QUERY OPTIMIZATION
- 8.1. DDL (Data Definition Language): CREATE, ALTER, DROP assisted by AI.
- 8.2. DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE.
- 8.3. AI for SQL Queries:
- Generation of complex queries (multiple JOINs, subqueries) using natural language.
- Code explanation: Use of AI to interpret and document legacy SQL queries.
- SQL Tuning: How to ask an AI to optimize a slow query to improve performance.
MODULE IX (NEW): THE FUTURE OF THE DBA AND DATA ANALYST
- 9.1. Ethics and Security in the Use of AI: Handling sensitive data and privacy.
- 9.2. AI Agents for Data: Introduction to how AI can monitor database health.
- 9.3. Final Project: Design, implementation, and querying of a complete database using a 100% AI-powered workflow.
Current process description
The International Certification: SQL Database Fundamentals + AI-Driven Engineering is designed to train professionals capable of developing, modeling, and optimizing software and database solutions using Generative Artificial Intelligence as a strategic ally, not as a substitute for human judgment.
Throughout the program, students learn to integrate programming logic, Python, Object-Oriented Programming, and SQL with AI tools such as ChatGPT, Copilots, and development assistants, achieving more efficient, structured, and auditable workflows. The approach goes beyond simply “using AI”: it focuses on thinking about, designing, validating, and debugging what AI produces, ensuring technical quality, security, and best practices.
The course covers everything from the fundamentals of algorithms and UML modeling, through database design and normalization, to advanced optimization of AI-assisted SQL queries, preparing students for the new roles of developer, data analyst, or DBA in AI-driven environments.
Upon completion, participants will be able to convert real-world requirements into data models and functional solutions, automate repetitive tasks, optimize database performance, and work with a critical mindset towards the results generated by AI, positioning themselves as productive, up-to-date, and competitive professionals in today's job market.
Objectives
At the end of the course, participants will be able to:
- General Objective
- To develop robust software and database solutions by integrating programming logic and query languages with Generative Artificial Intelligence tools, achieving 50% greater operational efficiency than traditional development methods
- Specific Objectives
- Hybrid Logic Mastery: Design algorithms and data structures using computational thinking enhanced by Prompt Engineering techniques
- Intelligent Modeling: Construct UML diagrams and Entity-Relationship (ERD) models, automating script generation using AI assistants
- Assisted Software Development: Implement Python code applying Object-Oriented Programming (OOP) and using Copilots for refactoring and debugging
- SQL Database Management: Create, manage, and query relational databases, using AI to optimize complex statements and improve performance (SQL Tuning)
- Critical AI Audit: Validate and correct the content generated by language models, ensuring that the proposed solutions meet technical and security standards
Prerequisites
To participate in this training, attendees must meet the following requirements:
- Basic Computer Skills: Proficiency in operating systems (Windows/Linux/Mac), file management, and advanced web browsing
- Reading and Analytical Skills: Ability to understand technical texts and follow structured instructions
- English Level (Suggested): Basic technical reading comprehension, as most AI documentation and programming tools are in English
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification: SQL Database Fundamentals + AI-Driven Engineering | 30 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 Certitalents
• 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
The International Certification: SQL Database Fundamentals + AI-Driven Engineering is designed to train professionals capable of developing, modeling, and optimizing software and database solutions using Generative Artificial Intelligence as a strategic ally, not as a substitute for human judgment.
Throughout the program, students learn to integrate programming logic, Python, Object-Oriented Programming, and SQL with AI tools such as ChatGPT, Copilots, and development assistants, achieving more efficient, structured, and auditable workflows. The approach goes beyond simply “using AI”: it focuses on thinking about, designing, validating, and debugging what AI produces, ensuring technical quality, security, and best practices.
The course covers everything from the fundamentals of algorithms and UML modeling, through database design and normalization, to advanced optimization of AI-assisted SQL queries, preparing students for the new roles of developer, data analyst, or DBA in AI-driven environments.
Upon completion, participants will be able to convert real-world requirements into data models and functional solutions, automate repetitive tasks, optimize database performance, and work with a critical mindset towards the results generated by AI, positioning themselves as productive, up-to-date, and competitive professionals in today's job market.
Objectives
At the end of the course, participants will be able to:
- General Objective
- To develop robust software and database solutions by integrating programming logic and query languages with Generative Artificial Intelligence tools, achieving 50% greater operational efficiency than traditional development methods
- Specific Objectives
- Hybrid Logic Mastery: Design algorithms and data structures using computational thinking enhanced by Prompt Engineering techniques
- Intelligent Modeling: Construct UML diagrams and Entity-Relationship (ERD) models, automating script generation using AI assistants
- Assisted Software Development: Implement Python code applying Object-Oriented Programming (OOP) and using Copilots for refactoring and debugging
- SQL Database Management: Create, manage, and query relational databases, using AI to optimize complex statements and improve performance (SQL Tuning)
- Critical AI Audit: Validate and correct the content generated by language models, ensuring that the proposed solutions meet technical and security standards
Prerequisites
To participate in this training, attendees must meet the following requirements:
- Basic Computer Skills: Proficiency in operating systems (Windows/Linux/Mac), file management, and advanced web browsing
- Reading and Analytical Skills: Ability to understand technical texts and follow structured instructions
- English Level (Suggested): Basic technical reading comprehension, as most AI documentation and programming tools are in English
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification: SQL Database Fundamentals + AI-Driven Engineering | 30 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 Certitalents
• 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.