Python Advanced Training Course

This live, instructor-led training in Germany delves into advanced Python techniques, engineering best practices, and design patterns. It enables developers to build maintainable, testable, and high-performance applications by leveraging modern tooling, static typing, and concurrency models for production-grade systems.

This live, instructor-led training in Germany delves into hands-on Python strategies for creating autonomous agents. It addresses core components such as agent loops, tool integrations, memory management, orchestration, and safety protocols. Specifically designed for ML engineers, the course emphasizes the deployment of robust, production-ready agents.

This intermediate-level course in Germany enables Python developers to design and deploy AI solutions utilizing advanced libraries. Learners will practice implementing supervised, unsupervised, and reinforcement learning models, optimize neural networks, and effectively integrate AI into real-world workflows.

This live, instructor-led training in Germany (offered online or onsite) is designed for intermediate Python developers aiming to refine their development practices through the use of AWS Cloud9.

By the end of the session, participants will be capable of:

• Setting up and configuring AWS Cloud9 for Python development.
• Understanding the AWS Cloud9 IDE interface and its features.
• Writing, debugging, and deploying Python applications within AWS Cloud9.
• Collaborating with other developers using the AWS Cloud9 platform.
• Integrating AWS Cloud9 with other AWS services for advanced deployment scenarios.

This instructor-led, live session in Germany (online or in-person) is tailored for intermediate Python developers and data analysts seeking to deepen their expertise in data analysis and manipulation through the use of Pandas and NumPy.

By the end of the training, participants will be able to:

• Establish a development environment featuring Python, Pandas, and NumPy.
• Build data analysis applications with Pandas and NumPy.
• Carry out advanced data wrangling, sorting, and filtering processes.
• Execute aggregate operations and analyze time-series data.
• Visualize data using Matplotlib and additional visualization tools.
• Debug and enhance the performance of their data analysis code.

This live, instructor-led training (available online or on-site) is tailored for developers aiming to utilize the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the conclusion of this training, participants will be equipped to:

• Set up a development environment that seamlessly integrates FastAPI, React, and MongoDB.
• Comprehend the fundamental concepts, features, and benefits inherent to the FARM stack.
• Learn how to construct REST APIs using FastAPI.
• Learn how to design interactive applications using React.
• Develop, test, and deploy complete applications (front end and back end) using the FARM stack.

This live, instructor-led training in Germany (available online or in-person) is designed for developers seeking to utilize FastAPI with Python to efficiently build, test, and deploy RESTful APIs.

By the conclusion of this program, participants will be equipped to:

• Configure the essential development environment for API creation using Python and FastAPI.
• Accelerate API development with minimal complexity by leveraging the FastAPI library.
• Master the creation of data models and schemas grounded in Pydantic and OpenAPI specifications.
• Establish database connections for APIs utilizing SQLAlchemy.
• Enforce security and authentication frameworks within APIs by applying FastAPI’s native utilities.
• Generate container images and execute the deployment of web APIs to cloud servers.

This live, instructor-led training program, conducted at Germany (either online or on-site), is tailored for data scientists seeking to utilize TensorFlow for the analysis of potential fraud data.

By the conclusion of this training, participants will have the capability to:

• Build a fraud detection model utilizing Python and TensorFlow.
• Develop linear regression and associated models to predict fraud.
• Create a complete, end-to-end AI application for analyzing fraud data.

This instructor-led live training, conducted in Germany (either online or onsite), is tailored for network engineers seeking to utilize Python for the maintenance, management, and design of computer networks.

By the conclusion of this training, participants will be capable of:

• Leveraging Paramiko, Netmiko, Napalm, Telnet, and pyntc to optimize network automation using Python.
• Mastering the application of multi-threading and multiprocessing in network automation contexts.
• Employing GNS3 and Python for advanced network programming tasks.

This live, instructor-led training in Germany (available online or onsite) is designed for business professionals and data analysts with intermediate Python skills who wish to use Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.