Program Modules
Module I: Introduction
- What is Python
- Variables and basic data types
- Keyboard input reading
Module II: First Program in Python
- Outputs
- Input Collection
Module III: Use of 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
- String to Number Conversion and Use of Absolute Values
Module V: Lists with Python
- Introduction to lists
- Working with numbers in lists
- Manipulating list data
Module VI: While and For Loops and Dictionaries
- While
- For
- Dictionaries
- Dynamic programming with dictionaries
Module VII: Functions with 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
- Controlling Exceptions
- Generating Exceptions
Module XI: File Handling
- Working with the file system
- Directories and files
- Creating a file, handling files
Module I: Fundamentals of Web Development with Python
- HTTP Protocol and methods (GET, POST, PUT, DELETE)
- Routing and handling of requests/responses
- JSON and REST APIs
- Fundamentals of HTML, CSS, and JavaScript (to understand how they interact with the backend)
Module II: Basic Django
- Installation and configuration of Django
- Structure of a Django project
- Models and migrations
- Forms in Django
- Templates and views
- Authentication and authorization (login, user registration)
- Creation of a CRUD application (Create, Read, Update, Delete)
Module III: Advanced Django
- Relationships between models (ForeignKey, ManyToManyField)
- Django ORM (Advanced Queries)
- File and multimedia handling in Django
- Advanced user system (profiles, permissions)
- Security management in Django (CSRF, XSS, SQL Injection)
- Testing and code coverage in Django
Module IV: API Development with Django Rest Framework
- Introduction to Django Rest Framework (DRF)
- Serializers
- Class-based views and function-based views
- API Authentication (Token, JWT)
- Pagination, searching, and filtering in APIs
- Protection and permissions in APIs
Module V: Flask
- Introduction to Flask
- Handling routes, parameters, and responses
- Creating APIs with Flask (model declaration)
- Data validation with Flask-WTF and Marshmallow
- Security in Flask (OAuth2, JWT)
- Testing in Flask
- Deployment of Flask applications (in Docker or cloud platforms)
Module VI: Databases in Web Development
- SQL vs NoSQL Databases
- Connecting and Managing Databases in Django and Flask
- Using Popular Databases (PostgreSQL, MySQL)
- ORMs and Efficient Query Management in Django (Django ORM) and Flask (SQLAlchemy)
Module VII: Deployment and DevOps for Web Applications
- Basic concepts of servers and hosting
- Deployment of Django and Flask applications on Heroku, AWS, or DigitalOcean
- Configuration of Nginx and Gunicorn for production
- Introduction to containers with Docker
- CI/CD (Continuous Integration and Continuous Deployment)
Module VIII: Optimization and Security
- Performance optimization in web applications
- Caching in Django (Memcached, Redis)
- Best security practices in web applications
- Protection against common attacks (DDoS, Cross-Site Scripting, SQL Injection)
- Monitoring and maintenance of applications in production
Module IX: Development of Real Web Applications
- Integration of frontend with backend (Django + React or Vue)
- Creation of a complete system with Django/Flask
- Implementation of websockets for real-time applications
- Session state management in web applications
- Final project: Creation and deployment of a complete web application (blog, store, etc.)
Module I: Fundamentals of AI, ML, and Applied Mathematics
- Introduction to AI, Machine Learning, and Deep Learning
- Weak, Strong, and General AI
- Applications in Business and Industry
- Basic Linear Algebra for ML: Vectors, Matrices, Operations
- Applied Probability and Statistics: Distributions, Mean, Variance, Bayes, Decision Trees
- Ethics, Biases, and Social Responsibility of AI (Cross-Cutting Approach)
Module II: Python for Data Science and Dataset Manipulation
- Jupyter Notebook as a working environment
- Key libraries: NumPy, Pandas, Matplotlib, Seaborn
- Cleaning, transforming, and analyzing real data
- Handling null values, encoding, scaling
- Visualization and interpretation of variables and correlations
Module III: Supervised Learning and Model Evaluation
- Linear and logistic regression
- Decision trees, Random Forest, Gradient Boosting
- SVM: fundamentals and application
- Model evaluation: accuracy, recall, precision, F1-score, ROC-AUC
- Cross-validation, overfitting, and model tuning
Module IV: Unsupervised Learning and Advanced Analysis
- Clustering: K-means, DBSCAN, hierarchical
- Dimensionality reduction: PCA, t-SNE
- Outlier analysis and segmentation
- Advanced visualization of groups and patterns
Module V: Natural Language Processing (NLP)
- Text cleaning: tokenization, stemming, lemmatization
- Representations: Bag of Words, TF-IDF, Word2Vec
- Text classification, sentiment analysis
- Introduction to transformer models and embeddings
- Real applications: customer service, review analysis
Module VI: Deep Learning for Intelligent Automation
- Artificial Neural Networks with Keras and TensorFlow
- Convolutional Neural Networks (CNN) for Images
- RNN and LSTM for Time Series and Text
- Regularization Techniques: Dropout, Early Stopping
- Hyperparameter Tuning
Module VII: MLOps and Model Deployment
- RESTful APIs with Flask/FastAPI to serve models
- Introduction to Docker: containers for AI
- MLFlow for versioning models and datasets
- Automation of training flows and basic monitoring
Module VIII: AI Agents and LLMs for Businesses
- Introduction to LLMs (GPT, Claude, Mistral, etc.)
- Creation of intelligent assistants with ChatGPT and Hugging Face
- Integration with internal systems: CRMs, ERPs, processes
- Practical applications: content generation, automated support, internal assistance
Module IX: Business Automation with AI
- Detection of automatable processes
- Automation of decisions and predictions
- Real cases: marketing, logistics, sales, HR, and sustainability
- Design of solutions focusing on ROI, scalability, and innovation
Module X: Final Project of Intelligent Automation
- Development of a real solution applying everything learned
- Presentation of the model, generated impact, and expected return
- Technical documentation of the project: operation, application, covered need
- Upload of the project to a version-controlled repository
- Peer and instructor evaluation
Current process description
This intensive program integrates three key certifications in development and automation:
- International Certification in Python Application Development (PDA)
- Advanced Development with Django and Flask Frameworks
- AI and Machine Learning – Business Implementation Track
- The program is designed to train professionals capable of building robust web applications, secure APIs, and intelligent AI solutions tailored to real-world business environments—using Python as the core technology foundation
Objectives
Upon completion, the participant will be able to:
- Build complete applications in Python using Django and Flask
- Design and consume secure, scalable RESTful APIs
- Apply machine learning techniques for decision-making automation
- Integrate AI models into real business workflows using tools such as Scikit-learn, TensorFlow, and HuggingFace
- Deploy solutions in production environments, including Heroku, Docker, and AWS
- Present a final intelligent automation project with measurable business impact
- Pass the International Python Developer Associate (PDA) Certification and modules endorsed by Python Certifier and Certitalents
Prerequisites
To ensure the best learning outcomes, students should:
- Have a solid understanding of programming logic and data structures
- Have completed the PDA module or demonstrate practical proficiency in Python (including lists, dictionaries, functions, and file handling)
- Be familiar with web frameworks such as Django or Flask (for the advanced modules)
- Have basic knowledge of applied mathematics, including linear algebra and statistics
- Be able to work with Jupyter Notebook and manipulate CSV, JSON, and Excel files
- Ideally: Have prior experience in projects involving data analysis, visualization, or automation
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| Programa para Certificación internacional en Desarrollo de aplicaciones con Python PDA + Desarrollo de aplicaciones con Python Avanzado (Frameworks Django y Flask) + AI and Machine Learning – Business Implementation Track | 140 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 certifications
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.
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 intensive program integrates three key certifications in development and automation:
- International Certification in Python Application Development (PDA)
- Advanced Development with Django and Flask Frameworks
- AI and Machine Learning – Business Implementation Track
- The program is designed to train professionals capable of building robust web applications, secure APIs, and intelligent AI solutions tailored to real-world business environments—using Python as the core technology foundation
Objectives
Upon completion, the participant will be able to:
- Build complete applications in Python using Django and Flask
- Design and consume secure, scalable RESTful APIs
- Apply machine learning techniques for decision-making automation
- Integrate AI models into real business workflows using tools such as Scikit-learn, TensorFlow, and HuggingFace
- Deploy solutions in production environments, including Heroku, Docker, and AWS
- Present a final intelligent automation project with measurable business impact
- Pass the International Python Developer Associate (PDA) Certification and modules endorsed by Python Certifier and Certitalents
Prerequisites
To ensure the best learning outcomes, students should:
- Have a solid understanding of programming logic and data structures
- Have completed the PDA module or demonstrate practical proficiency in Python (including lists, dictionaries, functions, and file handling)
- Be familiar with web frameworks such as Django or Flask (for the advanced modules)
- Have basic knowledge of applied mathematics, including linear algebra and statistics
- Be able to work with Jupyter Notebook and manipulate CSV, JSON, and Excel files
- Ideally: Have prior experience in projects involving data analysis, visualization, or automation
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| Programa para Certificación internacional en Desarrollo de aplicaciones con Python PDA + Desarrollo de aplicaciones con Python Avanzado (Frameworks Django y Flask) + AI and Machine Learning – Business Implementation Track | 140 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.