AI for Software Development Training in San Francisco Bay Area

GitHub Copilot is an AI-powered code completion tool that helps accelerate development while improving quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can leverage AI to optimize resource allocation, streamline workflows, and enhance decision-making for government operations.

This instructor-led, live training (online or onsite) is aimed at advanced-level managers who wish to deepen their knowledge of GitHub Copilot while also exploring practical AI applications in corporate environments, with examples relevant to large-scale projects and industries such as oil and gas.

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

• Apply advanced Copilot functionalities in large-scale corporate and government projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition for government initiatives.
• Implement AI-based strategies to improve planning, estimation, and time optimization in public sector projects.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence (AI) is a suite of technologies that simulate human intelligence in machines and applications, enabling more sophisticated and adaptive software.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers who wish to develop AI-powered applications using real-world tools and platforms.

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

• Understand fundamental AI and machine learning concepts.
• Develop AI functionalities using Python and popular libraries.
• Apply AI methodologies to real-world software development projects.
• Evaluate models and deploy intelligent services for government use.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact Govtra to arrange.

GitHub Copilot is an AI-powered coding assistant designed to automate various development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (online or onsite) is aimed at professionals with beginner to intermediate levels of experience who wish to leverage GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity for government projects.

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

• Utilize GitHub Copilot to assist with shell scripting, configuration management, and CI/CD pipelines for government workflows.
• Leverage AI-driven code completion in YAML files and GitHub Actions to improve efficiency.
• Accelerate testing, deployment, and automation processes in public sector environments.
• Apply Copilot responsibly with an understanding of AI limitations and best practices for government use.

Format of the Course

• Interactive lecture and discussion sessions tailored to public sector needs.
• Extensive exercises and practice opportunities.
• Hands-on implementation in a live-lab environment, simulating real-world government scenarios.

Course Customization Options

• To request a customized training for this course specifically tailored to the needs of your government agency, please contact us to arrange.

The Huawei Ascend family of AI processors is designed for high-performance inference and training.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimize neural network models using Huawei’s Ascend platform and the CANN toolkit for government applications.

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

• Set up and configure the CANN development environment for government use.
• Develop AI applications using MindSpore and CloudMatrix workflows tailored for public sector needs.
• Optimize performance on Ascend NPUs using custom operators and tiling, ensuring alignment with government standards.
• Deploy models to edge or cloud environments, adhering to government security protocols.

Format of the Course

• Interactive lecture and discussion focusing on government-specific use cases.
• Hands-on use of Huawei Ascend and CANN toolkit in sample applications relevant to public sector workflows.
• Guided exercises focused on model building, training, and deployment for government projects.

Course Customization Options

• To request a customized training for this course based on your infrastructure or datasets specific to government operations, please contact us to arrange.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for intermediate-level software professionals who aim to enhance efficiency and innovation in software development through the use of artificial intelligence (AI) and machine learning.

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

• Understand the role of AI and machine learning in automating various software development tasks.
• Implement AI tools to generate code, tests, and documentation for government projects.
• Apply AI techniques for code optimization, quality assurance, and debugging within public sector workflows.
• Integrate AI into the DevOps and CI/CD pipelines to improve deployment strategies in a government context.
• Address ethical considerations and challenges associated with AI-augmented software engineering for government applications.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at intermediate to advanced-level participants who wish to optimize team workflows, enhance collaborative coding practices, and effectively manage GitHub Copilot usage in multi-developer environments for government.

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

• Set up GitHub Copilot for team environments within public sector organizations.
• Utilize Copilot to enhance collaborative coding practices for government projects.
• Optimize team workflows using Copilot’s features to meet public sector requirements.
• Manage Copilot’s integration in multi-developer projects for government agencies.
• Maintain consistent code quality and standards across teams in the public sector.
• Leverage advanced Copilot features to address team-specific needs for government applications.
• Combine Copilot with other collaborative tools for efficiency in government workflows.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review processes for government.

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

• Configure GitHub Copilot for debugging and code review purposes.
• Utilize Copilot to identify and resolve bugs efficiently.
• Improve code quality with AI-assisted suggestions.
• Streamline code review processes using Copilot's capabilities.
• Collaborate effectively with Copilot in team environments for government.

Course Customization Options

Format of the Course

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

Prompt Engineering for Software Development is a hands-on course designed to teach developers how to craft effective prompts that enhance the usefulness, precision, and safety of AI-generated outputs in the context of software engineering tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to integrate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools for government.

• Create precise prompts for code generation, review, and optimization tasks.
• Use prompt chaining and refinement to improve AI responses in iterative workflows.
• Generate structured outputs such as test cases, SQL queries, and documentation from minimal input.
• Mitigate hallucination and enhance control over LLM behavior in technical environments.

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

• To request a customized training for this course, please contact Govtra to arrange.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, enhance UI/UX design, and optimize front-end workflows for government applications.

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

• Configure GitHub Copilot for front-end development projects for government.
• Utilize Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes using AI-generated code suggestions.
• Enhance front-end workflows with practical Copilot integration strategies tailored for government use.
• Troubleshoot and debug front-end code with the assistance of Copilot.

Responsible AI in Software Development is a foundational course designed to address the ethical, legal, and governance considerations when integrating AI tools into the software development process. The course emphasizes transparency, fairness, intellectual property concerns, and the safe deployment of AI-generated code.

This instructor-led, live training (online or onsite) is tailored for beginner-level technical and non-technical professionals who aim to ensure ethical, compliant, and risk-aware use of AI in their software projects.

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

• Identify and mitigate ethical and legal risks associated with AI-assisted development.
• Understand bias in AI-generated code and how to assess fairness.
• Manage software licenses and attribution related to AI-generated content.
• Establish governance, policy, and compliance frameworks for the use of AI in development teams.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options for Government

• To request a customized training for this course, please contact us to arrange.

AI for Software Requirements and User Story Generation is a practical course designed to utilize generative AI in transforming stakeholder input into structured requirements, epics, user stories, and acceptance criteria suitable for Agile development workflows.

This instructor-led, live training (online or onsite) is aimed at beginner-level product and project professionals who wish to leverage tools like ChatGPT or Claude to enhance clarity, speed, and traceability in requirement gathering and refinement processes for government projects.

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

• Utilize AI prompts to gather and refine business requirements effectively.
• Convert feature requests into well-structured user stories and epics.
• Generate acceptance criteria, edge cases, and definitions of done with AI assistance.
• Collaborate efficiently with development teams using AI-structured documentation.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact Govtra to arrange.

Cursor is an AI-powered development environment designed to enhance productivity and reliability across data and machine learning workflows for government. It provides intelligent code generation, context-aware suggestions, and streamlined documentation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data and ML professionals who wish to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations for government.

After completing this training, participants will be able to:

• Use Cursor to accelerate notebook development and code exploration for government projects.
• Generate, refactor, and document ETL and feature engineering pipelines for enhanced data governance.
• Leverage AI-assisted code for model training, tuning, and evaluation to support public sector initiatives.
• Enhance reproducibility, collaboration, and operational consistency in ML workflows for government applications.

Format of the Course

• Interactive lectures and demonstrations to align with public sector workflows.
• Practical, hands-on exercises in live coding environments tailored for government use cases.
• Case studies integrating Cursor with ML pipelines and model operations tools for government applications.

Course Customization Options

• This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms used in the public sector.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at beginner to intermediate-level Python developers who wish to leverage GitHub Copilot for government-specific tasks, debugging, and implementing machine learning workflows.

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

• Set up and configure GitHub Copilot for Python development in a public sector environment.
• Leverage Copilot to write efficient and secure Python code for government applications.
• Debug Python applications using AI-generated suggestions tailored for government use cases.
• Automate repetitive coding tasks and improve workflow efficiency for government projects.
• Utilize Copilot for implementing machine learning projects in Python, aligned with public sector requirements.

Graphite is a developer productivity and code review platform designed to optimize pull request workflows, enhance team collaboration, and integrate seamlessly with tools such as GitHub and AI-based code review assistants.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software engineering teams who wish to streamline their development processes, improve review efficiency, and effectively implement Graphite within enterprise DevOps pipelines for government.

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

• Deploy and configure Graphite for enterprise-scale development environments in public sector settings.
• Automate pull request management and enhance code review throughput for government projects.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small to support public sector workflows.
• Measure developer productivity using Graphite analytics and dashboards tailored for government use.

Format of the Course

• Interactive lecture and discussion focused on public sector needs.
• Extensive exercises and practice sessions aligned with government standards.
• Hands-on implementation in a live-lab environment designed for government users.

Course Customization Options

• To request a customized training tailored to specific government requirements, please contact us to arrange.

Cursor is an advanced AI-powered development environment designed to enable engineers to extend, fine-tune, and customize its coding intelligence for specialized use cases and enterprise workflows.

This instructor-led, live training (online or onsite) is aimed at advanced-level developers and AI engineers who wish to design tailored prompt systems, refine model behavior, and build custom extensions to support internal development automation efforts for government.

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

• Design and test advanced prompt templates to achieve precise AI behavior.
• Connect Cursor to internal APIs and knowledge bases to facilitate context-aware code generation.
• Develop fine-tuned or domain-adapted AI models for specialized tasks.
• Build and deploy custom tools or adapters that securely extend Cursor’s functionality.

Format of the Course

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization labs.
• Practical projects integrating Cursor with real-world enterprise systems for government.

Course Customization Options

• This course can be customized to align with specific internal architectures, AI frameworks, or security compliance requirements for government.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for government team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.

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

• Customize GitHub Copilot to meet specific project needs and team workflows for government.
• Leverage advanced features of Copilot to address complex coding tasks in a public sector context.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments for improved efficiency and accountability.
• Optimize team collaboration using AI-powered tools tailored for government operations.
• Manage and troubleshoot Copilot settings and permissions effectively to ensure compliance with government standards.

Generative AI for Front-End Development examines how large language models and AI-driven tools can expedite front-end development through prompt-based code generation, layout prototyping, and UI optimization.

This instructor-led, live training (online or onsite) is designed for government front-end professionals at the beginner to intermediate level who aim to leverage generative AI to build and iterate user interfaces more efficiently and creatively.

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

• Utilize AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
• Develop and refine UI components and layouts using generative models.
• Rapidly prototype responsive web designs without writing all code from scratch.
• Optimize front-end code with AI suggestions and automated workflows for government use.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government use, please contact us to arrange.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine for government.

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

• Understand the fundamentals of AI-powered code generation.
• Install and configure Tabnine in their development environment for government use.
• Utilize Tabnine for efficient code completion and error correction in public sector applications.
• Create and train custom AI models with Tabnine to support specialized tasks for government.

Vibe coding is an emerging paradigm where developers collaborate with large language models to generate, refine, and optimize code through natural language interactions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and technical leads who wish to master the use of AI coding assistants and open-source LLMs to enhance productivity, creativity, and workflow automation for government projects.

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

• Understand the principles and philosophy of vibe coding and its impact on software development in the public sector.
• Implement LLM-assisted coding environments using tools such as Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot for government applications.
• Design and execute prompt engineering strategies to facilitate effective AI collaboration in public sector projects.
• Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks for government agencies.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment for government-specific scenarios.

Course Customization Options

• To request a customized training for this course, tailored to specific needs of your government agency, please contact us to arrange.

AI-Augmented Test Generation and Quality Engineering examines how artificial intelligence tools and large language models (LLMs) can enhance test coverage, accelerate test creation, and improve quality assurance processes for government.

This instructor-led, live training (online or on-site) is designed for intermediate-level QA professionals who seek to automate and enhance their testing strategies using AI-driven tools and practices.

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

• Generate unit, integration, and user interface tests using AI tools and prompts.
• Utilize LLMs for exploratory testing, edge-case discovery, and regression analysis.
• Cluster and prioritize test failures and anomalies using AI-assisted triage.
• Integrate AI-based testing into CI/CD pipelines to enhance release confidence.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Cursor is an AI-powered development environment designed to enhance team collaboration, automate code reviews, and integrate seamlessly into modern continuous integration and delivery (CI/CD) workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level technical professionals who wish to integrate Cursor into their team environments to improve collaboration, streamline reviews, and maintain quality across automated pipelines for government use.

Upon completing this training, participants will be able to:

• Set up and manage team environments in Cursor for collaborative development within public sector projects.
• Leverage AI tools for automated code reviews, pull request generation, and merge validation to enhance efficiency.
• Implement code governance, review policies, and security guardrails using Cursor’s capabilities to ensure compliance with government standards.
• Integrate Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards in government projects.

Format of the Course

• Instructor-led presentations and team-based discussions focused on public sector workflows.
• Hands-on labs using real-world team collaboration scenarios relevant to government operations.
• Live integration exercises with CI/CD and version control tools commonly used in the public sector.

Course Customization Options

• The course can be adapted to specific CI/CD platforms, repository tools, or enterprise security requirements relevant to government agencies.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for government programmers and developers at beginner to intermediate levels who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.

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

• Understand the capabilities and limitations of DeepSeek Coder for government use.
• Generate high-quality code snippets using AI assistance.
• Utilize DeepSeek Coder for debugging and optimizing code in public sector applications.
• Automate repetitive programming tasks using AI tools to improve workflows for government projects.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at intermediate-level participants who wish to leverage GitHub Copilot to manage advanced coding scenarios, enhance productivity, and integrate Copilot into their development processes for government.

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

• Optimize their use of GitHub Copilot for complex coding tasks.
• Write more efficient, error-free, and maintainable code using Copilot suggestions.
• Integrate GitHub Copilot into their preferred integrated development environments (IDEs) and workflows.
• Utilize Copilot for debugging and code refactoring.
• Understand the limitations and ethical considerations of using AI-powered coding tools in a public sector context.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at advanced-level developers and team leads who wish to master the advanced features of Tabnine for government use.

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

• Implement Tabnine in complex software projects for government applications.
• Customize and train Tabnine's AI models for specific government use cases.
• Integrate Tabnine into team workflows and development pipelines for government operations.
• Enhance code quality and accelerate development cycles using Tabnine's insights for government projects.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for government software developers at beginner to intermediate levels who seek to integrate AI coding assistants into their development workflows.

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

• Understand the role and capabilities of AI coding assistants in software development for government.
• Utilize various AI coding assistant tools to automate routine coding tasks within public sector projects.
• Integrate AI coding assistants into their software development lifecycle, enhancing compliance and efficiency.
• Enhance their productivity and focus on more complex and creative programming tasks relevant to government operations.
• Address ethical considerations and responsible use of AI in software development for government.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity for government projects.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral for government applications.

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

• Set up and configure Devstral for coding agent development in alignment with public sector workflows.
• Design agentic workflows for codebase exploration and modification that adhere to governance standards.
• Integrate coding agents with developer tools and APIs to support efficient government operations.
• Implement best practices for secure and efficient agent deployment in a government context.

Format of the Course

• Interactive lecture and discussion tailored to government audiences.
• Lots of exercises and practice relevant to government projects.
• Hands-on implementation in a live-lab environment designed for government use cases.

Course Customization Options

• To request a customized training for this course, tailored specifically for government needs, please contact us to arrange.

Cursor is an AI-powered code editor designed to enhance developer productivity through intelligent code completions, contextual edits, and adaptive assistance for government.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers and engineering teams who wish to streamline their coding workflow and safely leverage AI suggestions for improved efficiency in public sector projects.

Upon completion of this training, participants will be able to:

• Install and configure Cursor for optimal use in development projects for government.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools to enhance productivity and accuracy.
• Evaluate, accept, or modify AI-generated code suggestions effectively and securely to ensure compliance with government standards.
• Adopt best practices for team onboarding, collaboration, and version control integration to support efficient project management in the public sector.

Format of the Course

• Interactive lecture and discussion focused on government-specific use cases.
• Hands-on demonstrations and guided exercises to reinforce learning objectives for government applications.
• Real-world coding challenges and lab practice using Cursor, tailored to public sector scenarios.

Course Customization Options

• This course can be tailored to specific programming languages or frameworks used by your government team.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at beginner-level developers who wish to understand the capabilities of GitHub Copilot, set it up, and use it effectively to enhance their coding experience for government projects.

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

• Understand what GitHub Copilot is and how it functions.
• Set up GitHub Copilot with a supported code editor for government use.
• Use GitHub Copilot to write, refactor, and debug code more efficiently.
• Leverage Copilot to explore coding techniques and solutions tailored for government applications.
• Apply best practices for integrating GitHub Copilot into daily workflows for government tasks.

LLMs for Code Understanding, Refactoring, and Documentation is a technical course designed to apply large language models (LLMs) to enhance code quality, reduce technical debt, and automate documentation tasks across software teams within the public sector.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level software professionals who wish to utilize LLMs such as GPT to analyze, refactor, and document complex or legacy codebases more effectively for government applications.

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

• Use LLMs to explain code, dependencies, and logic in unfamiliar repositories.
• Identify and refactor anti-patterns to improve code readability.
• Automatically generate and maintain inline comments, README files, and API documentation.
• Integrate LLM-driven insights into existing CI/CD and review workflows for government projects.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact Govtra to arrange.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to enhance their productivity with the assistance of Tabnine for government applications.

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

• Install and configure Tabnine in their Python development environment for government use.
• Leverage Tabnine's autocomplete features to write Python code more efficiently within public sector workflows.
• Customize Tabnine's behavior to align with their coding style and project requirements for government projects.
• Understand how Tabnine's AI model specifically supports the development of Python code in a government context.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process for government, and the ethical considerations surrounding their use.

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

• Understand the purpose and capabilities of AI coding assistants in a public sector context.
• Identify different AI coding assistant tools and their features relevant to government workflows.
• Utilize AI coding assistants for basic coding tasks within government projects.
• Address basic ethical considerations and responsible use of AI in development for government.

The AI-Driven Software Development Lifecycle (SDLC) is a practical course designed to explore how artificial intelligence can enhance each phase of the software development process. From automating requirement analysis to intelligent test generation and deployment optimization, participants will learn how to integrate AI tools and techniques across the full lifecycle for government.

This instructor-led, live training (available online or onsite) is aimed at intermediate-level software leaders who wish to modernize their SDLC with AI-assisted workflows and tools for government.

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

• Leverage AI to convert business input into structured requirements and user stories for government.
• Use large language models (LLMs) to improve code documentation, review, and refactoring for government.
• Automate test case generation and coverage analysis using AI tools for government.
• Apply AI-driven monitoring and deployment decision-making in CI/CD pipelines for government.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment for government.

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 intermediate-level software developers who wish to enhance productivity and code quality using AI-assisted coding with Cursor.

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

• Install and configure Cursor for AI-assisted software development for government use.
• Integrate Cursor with Git repositories and development workflows for efficient project management.
• Utilize natural language to generate, debug, and optimize code in alignment with public sector standards.
• Leverage AI capabilities for refactoring, documentation, and testing to ensure robust and maintainable software solutions.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for government developers with beginner to intermediate experience who aim to effectively integrate the capabilities of GitHub Copilot into their modern development workflows. The course emphasizes alignment with public sector practices and governance, ensuring that participants can leverage these tools efficiently and responsibly.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at beginner-level developers who wish to enhance their coding efficiency with the help of Tabnine for government applications.

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

• Install and configure Tabnine in their preferred integrated development environment (IDE).
• Leverage Tabnine's autocomplete features to accelerate coding tasks.
• Customize Tabnine's settings for optimal performance and support.
• Understand how Tabnine's artificial intelligence learns from their code to provide more accurate suggestions.

This immersive one-day workshop equips software teams with the skills to integrate advanced AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience combines technical skill development, creativity, and collaboration.

Participants will address real-world challenges at every stage of the SDLC — from requirements gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools such as ChatGPT, GitHub Copilot, and machine learning-based log analysis systems. This approach ensures that teams are well-prepared to leverage these technologies effectively in their daily workflows.

Tailored for modern development environments, this workshop enhances AI fluency, team synergy, and a comprehensive understanding of how to enhance software delivery pipelines with generative AI and machine learning capabilities. It is designed to align with the evolving needs of software teams for government, promoting efficiency and innovation in public sector projects.

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

• Gain a comprehensive understanding of the architecture and operation of modern Large Language Models (LLMs).
• Create structured and robust technical prompts for styling, testing, refactoring, and automated quality assurance.
• Develop AI-aware wrappers and microservices that integrate seamlessly within enterprise development environments.
• Implement comprehensive Retrieval-Augmented Generation (RAG) pipelines to enhance organizational knowledge retrieval.
• Effectively manage security, privacy, and audit requirements for AI-driven code and data interactions, ensuring compliance with standards and best practices for government.