Artificial Intelligence for Software Engineering Training in Manaus

This advanced training in Manaus focuses on GitHub Copilot and AI applications for corporate infrastructure. It empowers managers with the skills to optimize project management, streamline workflows, and improve decision-making through AI tools, with a particular emphasis on large-scale projects.

This instructor-led, live training in Manaus (available online or onsite) is tailored for intermediate-level software professionals seeking to leverage AI and machine learning to enhance efficiency and innovation in software development.

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

• Understand the role of AI and machine learning in automating software development tasks.
• Implement AI tools to generate code, tests, and documentation.
• Apply AI techniques for code optimization, quality assurance, and debugging.
• Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
• Address ethical considerations and challenges in AI-augmented software engineering.

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

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

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

This instructor-led, live training in Manaus (online or onsite) is aimed at 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.

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

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

This instructor-led, live training in Manaus (online or onsite) targets intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, enhance UI/UX design, and streamline front-end workflows.

Upon completing this training, participants will be able to:

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

This instructor-led training in Manaus presents Cursor as an AI-enhanced environment aimed at accelerating data and ML processes. Through practical exercises, participants will learn to optimize notebook development, ETL pipelines, and model operations, thereby improving both productivity and operational consistency.

This instructor-led, live training in Manaus (online or onsite) targets beginner to intermediate Python developers who wish to leverage GitHub Copilot for Python-specific tasks, debugging, and machine learning workflows.

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

• Set up and configure GitHub Copilot for Python development.
• Leverage Copilot to write efficient Python code.
• Debug Python applications using AI-generated suggestions.
• Automate repetitive coding tasks to improve workflow efficiency.
• Utilize Copilot for implementing machine learning projects in Python.

This instructor-led, live training in Manaus explores the core concepts and practical fundamentals of Graphite. It empowers participants to develop hands-on skills in code review, automation, and DevOps integration, capabilities that are directly applicable to real-world enterprise development environments and contemporary business requirements.

This instructor-led training on Manaus enables advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions for enterprise workflows.

This instructor-led, live training in Manaus (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for 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 for specific project needs and team workflows.
• Leverage advanced features of Copilot for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-powered tools.
• Manage and troubleshoot Copilot settings and permissions effectively.

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

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

• Understand the basics of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Utilize Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialized tasks.

Explore AI-driven software development through this live, instructor-led training. This course in Manaus guides intermediate developers in mastering LLMs, prompt engineering, and practical coding environments. Learn to integrate vibe coding into CI/CD pipelines to drive productivity gains.

This live, instructor-led training in Manaus empowers teams to incorporate Cursor for smoother collaboration and code reviews. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and link Cursor to CI/CD pipelines to maintain consistent quality.

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers 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.
• Generate high-quality code snippets using AI assistance.
• Utilize DeepSeek Coder for debugging and optimizing code.
• Automate repetitive programming tasks using AI tools.

This live, instructor-led training in Manaus (online or in-person) is designed for intermediate-level participants who want to leverage GitHub Copilot to tackle advanced coding challenges, enhance productivity, and integrate Copilot into their development workflows.

Upon completing this training, participants will be capable of:

• Maximizing the use of GitHub Copilot for complex coding tasks.
• Writing cleaner, error-free, and easier-to-maintain code by leveraging Copilot's suggestions.
• Integrating GitHub Copilot into their preferred IDEs and daily workflows.
• Using Copilot for debugging and refactoring code.
• Grasping the limitations and ethical implications of employing AI-powered coding assistants.

This instructor-led, live training in Manaus (online or onsite) is aimed at advanced-level developers and team leads who wish to master advanced features of Tabnine.

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

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

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner to intermediate software developers who want to integrate AI coding assistants into their development workflow.

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

• Comprehend the role and capabilities of AI coding assistants in software development.
• Leverage various AI coding assistant tools to automate routine coding tasks.
• Integrate AI coding assistants into their software development lifecycle.
• Enhance their productivity and concentrate on more complex and creative programming tasks.
• Address ethical considerations and the responsible use of AI in software development.

This instructor-led course in Manaus guides developers in adopting Cursor, an AI-powered editor that elevates productivity through intelligent completions and contextual editing. Learners will develop practical skills in refactoring, validating AI suggestions, and team collaboration to enhance workflow efficiency.

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner-level developers who wish to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.

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

• Understand what GitHub Copilot is and how it works.
• Set up GitHub Copilot with a supported code editor.
• Use GitHub Copilot to write, refactor, and debug code faster.
• Leverage Copilot to explore coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into daily workflows.

This instructor-led, live training in Manaus (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.

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

• Install and configure Tabnine in their Python development environment.
• Use Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine's behavior to fit their coding style and project needs.
• Understand how Tabnine's AI model works specifically with Python code.

This instructor-led, live training in Manaus (online or onsite) is targeted at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can improve the development process, and the ethical considerations surrounding their use.

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

• Grasp the purpose and capabilities of AI coding assistants.
• Identify various AI coding assistant tools and their specific features.
• Utilize AI coding assistants for basic coding tasks.
• Address basic ethical considerations and the responsible use of AI in development.

This live, instructor-led training, offered online or on-site, targets intermediate software developers seeking to improve efficiency and code quality through AI-assisted coding with Cursor.

Upon completing this training, participants will be equipped to:

• Set up and configure Cursor for AI-driven software development.
• Connect Cursor with Git repositories and standard development workflows.
• Utilize natural language to create, debug, and refine code.
• Apply AI features for refactoring, creating documentation, and testing.

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to learn how to utilize the capabilities of GitHub Copilot effectively within modern development workflows.

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.

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

• Install and set up Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to speed up coding.
• Customize Tabnine's settings for optimal assistance.
• Understand how Tabnine's AI learns from their code to provide better suggestions.

This immersive, one-day workshop that empowers software teams to integrate cutting-edge AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience blends technical skill-building, creativity, and collaboration.

Participants will tackle real-world challenges across all stages of the SDLC — from requirement gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools like ChatGPT, GitHub Copilot, and ML-based log analysis systems.

Designed for modern development environments, this workshop fosters AI fluency, team synergy, and a deep understanding of how to augment software delivery pipelines with generative AI and machine learning capabilities.

This live, instructor-led training in Manaus (delivered online or onsite) is designed for entry-level professionals who wish to utilize Replit AI to expedite the building, testing, and deployment of simple applications.

By the conclusion of this training, participants will be equipped to: generate applications from prompts, enhance code with AI support, securely manage configurations, and launch a fully functional application.

This instructor-led live training in Manaus (online or onsite) is aimed at beginner, intermediate, and advanced product teams, developers, and technical business users who wish to use Lovable to build production-ready apps faster with better structure, quality, and deployment practices.

By the end of this training, participants will be able to: plan and generate working apps, improve user flows and data handling, add key production features, and prepare apps for deployment and team use.

This instructor-led, live training in Manaus (online or onsite) is aimed at intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity with AI-assisted coding.

By the end of this training, participants will be able to install and configure Claude Code, navigate, generate and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.

This instructor-led live training in Manaus is designed for intermediate developers aiming to transition a project from concept to a deployed, production-ready application using Claude Code.

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

• Configure Claude Code and guide its actions effectively via a CLAUDE.md file.
• Scaffold an application and integrate data with a CMS.
• Develop tests and perform quality assurance using subagents.
• Establish automated deployment pipelines for Vercel or Cloud Run.

This instructor-led, live training in Manaus (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

Course objectives turn software / AI engineers into legal engineers — the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level professionals who wish to use Bolt.new to rapidly create and improve web app prototypes.

By the end of this training, participants will be able to: create prototypes from prompts, refine features and interface flow, test and troubleshoot app behavior, and publish prototypes for review.

This instructor-led, live training in Manaus (online or onsite) is designed for developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands within the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.

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

• Master enterprise prompt architecture across six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Encode business, security, and compliance constraints (such as GDPR, the EU AI Act, and sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance practices: establishing the Prompt Curator role, naming conventions, versioning protocols, and quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

• To request a customized version of this training, please contact us to make the
  necessary arrangements.