Speciality in AI Fullstack Web Expert (International Certification)

This module introduces students to development with React and Vue.js, as well as the use of TailwindCSS for styling. It covers state management, API integration, and best optimization practices.

• What is React? Fundamentals and basic concepts.
• JSX: Syntax and structure.
• Functional and class components.
• Props and State: Basic data management between components.

• Introduction to Hooks: useState and useEffect.
• Using Hooks to manage component lifecycle.
• Creation of custom Hooks

• Introduction to the Context API for sharing global state.
• Managing local state with useState.
• Managing global and shared state between components.

• Fundamentals of Redux: Principles of Redux, Reducers, Actions.
• Middleware in Redux: Asynchronous calls with redux-thunk.
• Redux Toolkit: Simplification with Redux Toolkit.
• Basic usage of Redux in React applications.

• TailwindCSS: Introduction, installation, and configuration.
• Using TailwindCSS for utility styles and responsive design.
• Fundamentals of Vue.js and differences with React.

• Using Fetch and Axios to retrieve data.
• Handling asynchronous requests.
• Error management and loading state in requests.

• Performance optimization with React.memo and useMemo.
• Code splitting with Lazy Loading and Suspense.

This module covers backend development with a focus on creating APIs, authentication and authorization, and database optimization.

• Fundamentals of Django REST Framework (DRF).
• Implementation of CRUD operations (Create, Read, Update, Delete).
• Filtering, searching, and pagination in APIs.
• Serialization of relationships.
• Custom endpoints and additional actions.

• Basic authentication in Django REST Framework.
• Authentication with JSON Web Tokens (JWT).
• Authentication with OAuth 2.0.
• Access control and permissions.

• Advanced queries with Django ORM.
• Complex queries and raw SQL.
• Database optimization and use of indexes.
• Transaction management in Django.

• Unit testing in Django.
• API testing with Django REST Framework.
• Best practices in backend development.

This module covers best practices for integrating an application with APIs, both REST and GraphQL.

• Axios and Fetch API: Data retrieval methods.
• Error handling and loading states.

• Differences with REST: Advantages of GraphQL.
• Basic Queries and Mutations with Apollo Client.

• Configuration of Apollo Client in React.
• Using hooks to query and modify data with GraphQL.

This module teaches advanced techniques to improve performance and conduct testing in both frontend and backend applications.

• Virtual DOM and efficient rendering in React.
• Optimization of queries and responses in backend.

• Implementation of Code Splitting with React.lazy and Suspense.
• Deferred loading of components to improve speed.

• Tools such as Lighthouse, Chrome DevTools, and backend analysis tools.
• Analysis of performance metrics.

• Unit Testing with Jest and React Testing Library.
• API Testing with Postman and other tools.

This module covers the management of NoSQL databases, with a focus on MongoDB.

• Definition and characteristics of NoSQL.
• Key differences between NoSQL and relational databases.

• Installation and configuration of MongoDB.
• Basic MongoDB commands.

• Creation of documents.
• Reading of documents.
• Updating and deleting documents.

• Creating indexes in MongoDB.
• Query optimization and performance.

• Replication in MongoDB.
• Sharding for scalability.

This module covers the fundamentals of Big Data, with a focus on Hadoop and Spark.

• Definition and characteristics of Big Data.
• Importance and applications of Big Data in the industry.

• Introduction to Big Data architectures.
• Key components of Hadoop and Spark.

• HDFS and data processing with MapReduce.
• Introduction to Apache Spark for in-memory processing.

• Processing large volumes of data in batch.
• Optimization of batch tasks.

• Real-time processing with Spark Streaming.
• Optimization and scalability in data processing.

This module provides comprehensive training in applied artificial intelligence using Python.

• What is Machine Learning?
• Basic concepts of Machine Learning.
• Supervised learning algorithms.

• Introduction to TensorFlow and Keras.
• Introduction to PyTorch.
• Selecting the appropriate library based on the project.

• Classification and regression models.
• Neural networks and Deep Learning.
• Model optimization and tuning.

• Integration of AI models in web applications.
• Practical use cases in different industries.
• Ethical challenges and the future of AI.

This module guides developers in the principles and tools of DevOps, using Git and GitHub.

• Fundamentals of CI/CD.
• Popular tools for CI/CD.
• Automated testing and continuous deployment.

• Introduction to Docker and basic concepts.
• Creating containers with Docker.
• Managing volumes and networks in Docker.

• Introduction to cloud automation.
• Deployment of applications on AWS.
• Deployment of applications on Azure.

• Basic concepts of Kubernetes.
• Deployment and management of applications with Kubernetes.

This module provides a solid foundation in security in web development, covering fundamental security practices.

• Introduction to security in web development.
• Best security practices from the design phase.
• Secure authentication and authorization.

• Injection (SQL, NoSQL, OS Command Injection).
• Cross-Site Scripting (XSS).
• Cross-Site Request Forgery (CSRF).

• What is HTTPS and why is it important?
• Configuration of HTTPS on web servers.
• SSL certificates and key management.

• Fundamentals of encryption.
• Protection of sensitive data.
• Encryption of data in transit and at rest.