Python for Matlab Users Training Course

This comprehensive, hands-on course is designed for government professionals and covers advanced Python techniques, engineering best practices, and commonly used design patterns to build maintainable, testable, and high-performance Python applications. It emphasizes modern tooling, typing, concurrency models, architecture patterns, and deployment-ready workflows. This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level Python developers within government agencies who wish to adopt professional practices and patterns for production-grade Python systems. By the end of this training, participants will be able to: - Apply Python typing, dataclasses, and type-checking to increase code reliability. - Use design patterns and architecture principles to structure robust applications. - Implement concurrency and parallelism correctly using asyncio and multiprocessing. - Build well-tested code with pytest, property-based testing, and CI pipelines. - Profile, optimize, and harden Python applications for production. - Package, distribute, and deploy Python projects using modern tools and containers. **Format of the Course** - Interactive lectures and short demonstrations. - Hands-on labs and coding exercises each day. - Capstone mini-project integrating patterns, testing, and deployment. **Course Customization Options** - To request a customized training or focus area (data, web, or infrastructure), please contact us to arrange.

This course provides practical engineering techniques for designing, building, testing, and deploying autonomous systems using Python. It covers key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations. This instructor-led, live training (available online or onsite) is designed for intermediate to advanced ML engineers, AI developers, and software engineers who wish to develop robust, production-ready autonomous agents using Python. By the end of this training, participants will be able to: - Design and implement the agent loop and decision-making workflows. - Integrate external tools and APIs to enhance agent capabilities. - Implement short-term and long-term memory architectures for agents. - Coordinate multi-step orchestrations and ensure agent composability. - Apply safety, access control, and observability best practices for deployed agents. **Format of the Course** - Interactive lecture and discussion - Hands-on labs building agents with Python and popular SDKs - Project-based exercises that produce deployable prototypes **Course Customization Options for Government** - To request a customized training tailored to specific needs, please contact us to arrange.

This five-day introduction to Data Science and Artificial Intelligence (AI) is designed for government professionals. The course includes practical examples and exercises using Python, ensuring that participants gain hands-on experience in applying these technologies within public sector workflows.

Artificial Intelligence with Python is the development of intelligent systems utilizing Python’s extensive ecosystem of AI and machine learning libraries. This instructor-led, live training (online or onsite) is designed for intermediate-level Python programmers who wish to design, implement, and deploy AI solutions using Python. By the end of this training, participants will be able to: - Implement AI algorithms using Python’s core AI libraries. - Work with supervised, unsupervised, and reinforcement learning models. - Integrate AI solutions into existing applications and workflows for government. - Evaluate model performance and optimize for accuracy and efficiency. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (online or onsite) is aimed at business analysts who wish to automate trade processes using algorithmic trading, Python, and R for government.

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

• Utilize algorithms to execute the buying and selling of securities at precise intervals rapidly.
• Minimize costs associated with trading through algorithmic methods.
• Automatically monitor stock prices and execute trades accordingly.

This four-day course provides an introduction to artificial intelligence (AI) and its applications using the Python programming language. An optional fifth day is available for participants to complete an AI project upon finishing the course. This training is designed to enhance skills and capabilities for government professionals, ensuring they are well-equipped to integrate AI solutions into their workflows.

This instructor-led, live training (online or onsite) is designed for intermediate-level Python developers who aim to enhance their Python development experience using AWS Cloud9. By the end of this training, participants will be able to: - Set up and configure AWS Cloud9 for government Python development. - Understand the interface and features of the AWS Cloud9 IDE. - Write, debug, and deploy Python applications within AWS Cloud9. - Collaborate with other developers using the AWS Cloud9 platform. - Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in US (online or onsite) is aimed at beginner to intermediate-level developers who wish to use Python to build blockchain and cryptocurrency applications for government. By the end of this training, participants will be able to: - Use Python to create and manipulate blockchain and cryptocurrency systems and data. - Utilize Python libraries and frameworks such as Flask, PyCrypto, and web3.py to interact with blockchain and cryptocurrency networks and services. - Implement smart contracts, consensus algorithms, and cryptographic protocols for blockchain and cryptocurrency applications using Python. - Develop and deploy decentralized applications (DApps) that run on blockchain and cryptocurrency platforms using Python. - Perform data analysis and visualization on blockchain and cryptocurrency data using Python.

Chatbots are computer programs designed to simulate human responses through chat interfaces. These tools enhance operational efficiency by providing swift and convenient interaction options for users. In this instructor-led, live training, participants will learn how to develop chatbots using Python. By the end of this training, participants will be able to: - Understand the foundational principles of building chatbots. - Construct, test, deploy, and troubleshoot various chatbot applications using Python. **Audience** - Developers **Format of the Course** - A combination of lectures, discussions, practical exercises, and extensive hands-on practice. **Note** - To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training in US (online or onsite) is aimed at intermediate-level developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs for government projects.

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

• Leverage the Numba compiler to accelerate Python applications running on NVIDIA GPUs for government use.
• Develop, compile, and deploy custom CUDA kernels for government applications.
• Effectively manage GPU memory in government computing environments.
• Transform a CPU-based application into a GPU-accelerated application suitable for government operations.

This instructor-led, live training in US (online or onsite) is designed for data scientists and software engineers who wish to utilize Dask within the Python ecosystem to build, scale, and analyze large datasets for government. By the end of this training, participants will be able to: - Set up the necessary environment to begin building big data processing systems using Dask and Python. - Explore the features, libraries, tools, and APIs available in Dask. - Understand how Dask enhances parallel computing capabilities in Python. - Learn techniques for scaling the Python ecosystem (including Numpy, SciPy, and Pandas) using Dask. - Optimize the Dask environment to ensure high performance when handling large datasets.

This instructor-led, live training in US (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy for government applications.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy for government workflows.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code to ensure compliance with public sector governance standards.

This instructor-led, live training (available online or on-site) is designed for developers who aim to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications for government use. By the end of this training, participants will be able to: - Set up a development environment that seamlessly integrates FastAPI, React, and MongoDB. - Understand the fundamental concepts, features, and benefits of the FARM stack. - Learn how to develop REST APIs using FastAPI. - Gain proficiency in designing interactive applications with React. - Develop, test, and deploy both front-end and back-end components of applications using the FARM stack.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and rapidly for government projects. By the end of this training, participants will be able to: - Set up the necessary development environment to create APIs using Python and FastAPI. - Develop APIs more quickly and easily leveraging the FastAPI library. - Understand how to create data models and schemas based on Pydantic and OpenAPI standards. - Integrate APIs with a database using SQLAlchemy. - Implement security and authentication in APIs utilizing FastAPI tools. - Build container images and deploy web APIs to a cloud server for government use.

This instructor-led, live training in US (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis. By the end of this training, participants will be able to: - Set up the necessary environment to start developing Pandas workflows at scale with Modin. - Understand the features, architecture, and advantages of Modin for government applications. - Differentiate between Modin, Dask, and Ray in terms of their suitability for various data processing tasks. - Perform Pandas operations more efficiently using Modin. - Implement the entire Pandas API and functions to enhance data analysis capabilities.