AI for Software Development Training in Manaus

GitHub Copilot is an AI-driven code completion tool designed to boost development speed while enhancing quality and productivity. When combined with artificial intelligence applications across projects, infrastructure, and software, managers can harness AI to optimize resource allocation, streamline workflows, and improve decision-making processes.

This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications in corporate settings. The course includes examples relevant to large-scale projects and industries such as oil and gas.

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

• Apply advanced Copilot functionalities within large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows to maximize efficiency.
• Utilize AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to enhance planning, estimation, and time optimization.
• Identify practical AI applications in industry-specific scenarios, such as those in the oil and gas sector.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and case studies.
• Live laboratory demonstrations of AI tools and Copilot workflows.

Course Customization Options

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

Artificial Intelligence (AI) encompasses a range of technologies designed to simulate human intelligence within machines and applications, facilitating the creation of more intelligent and adaptable software.

This instructor-led live training, available online or on-site, targets intermediate-level developers who aim to construct AI-powered applications using practical tools and platforms.

Upon completing this training, participants will be equipped to:

• Grasp fundamental AI and machine learning concepts.
• Implement AI features using Python and widely-used libraries.
• Apply AI methodologies to actual software development projects.
• Assess models and deploy intelligent services.

Course Format

• Engaging lectures coupled with discussions.
• Ample opportunities for exercises and practice.
• Practical implementation within a live laboratory environment.

Customization Options

• For customized training requests regarding this course, please contact us to arrange.

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

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level professionals who want to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.

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

• Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Leverage AI code completion in YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly with an understanding of AI limitations and best practices.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

Huawei Ascend comprises a series of AI processors engineered for superior inference and training performance.

This instructor-led training session, available both online and onsite, targets intermediate AI engineers and data scientists aiming to create and refine neural network models utilizing Huawei’s Ascend platform alongside the CANN toolkit.

Upon completion of this program, participants will gain the ability to:

• Establish and configure the CANN development environment.
• Construct AI applications through MindSpore and CloudMatrix workflows.
• Enhance performance on Ascend NPUs via custom operators and tiling techniques.
• Deploy models to either edge or cloud settings.

Course Format

• Engaging lectures and discussions.
• Practical application of Huawei Ascend and the CANN toolkit within sample projects.
• Supervised exercises concentrating on model creation, training, and deployment.

Options for Course Customization

• For tailored training needs aligned with your specific infrastructure or datasets, please reach out to us to arrange.

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.

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 practical course designed to teach developers how to craft effective prompts that optimize 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.

• 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 improve control over LLM behavior in technical environments.

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

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

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.

Responsible AI in Software Development is a foundational course that covers the ethical, legal, and governance aspects of utilizing AI tools within the software development lifecycle. The curriculum highlights key principles such as transparency, fairness, intellectual property rights, and the secure deployment of code generated by AI.

This instructor-led training, available both online and onsite, is designed for beginner-level technical and non-technical professionals seeking to implement ethical, compliant, and risk-aware practices when using AI in their software projects.

Upon completing this training, participants will be equipped to:

• Identify and mitigate ethical and legal risks linked to AI-assisted development.
• Recognize bias in AI-generated code and assess fairness effectively.
• Manage software licenses and attribution requirements for AI-generated content.
• Establish governance, policy, and compliance frameworks for AI integration within development teams.

Course Format

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

Customization Options

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

This hands-on course, "AI for Software Requirements and User Story Generation," focuses on utilizing generative AI to convert stakeholder input into well-structured requirements, epics, user stories, and acceptance criteria, tailored for Agile development workflows.

Delivered as instructor-led live training (available online or onsite), this program is designed for beginner-level product and project professionals seeking to enhance clarity, efficiency, and traceability in requirement gathering and refinement using tools such as ChatGPT or Claude.

Upon completing this training, participants will be equipped to:

• Utilize AI prompts to collect and refine business requirements.
• Transform feature requests into clearly structured user stories and epics.
• Generate acceptance criteria, identify edge cases, and define "done" with the assistance of AI.
• Collaborate effectively with development teams using AI-structured documentation.

Course Format

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

Customization Options

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

Cursor is an AI-powered development environment that boosts productivity and reliability in data and machine learning workflows through intelligent code generation, context-aware suggestions, and streamlined documentation.

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

After completing this training, participants will be able to:

• Use Cursor to accelerate notebook development and code exploration.
• Generate, refactor, and document ETL and feature engineering pipelines.
• Leverage AI-assisted code for model training, tuning, and evaluation.
• Enhance reproducibility, collaboration, and operational consistency in ML workflows.

Format of the Course

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model ops tools.

Course Customization Options

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

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.

Graphite is a developer productivity and code review platform that optimizes pull request workflows, improves team collaboration, and integrates 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 workflows, enhance review efficiency, and implement Graphite effectively within enterprise DevOps pipelines.

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

• Deploy and configure Graphite for enterprise-scale development environments.
• Automate pull request management and improve code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Measure developer productivity using Graphite analytics and dashboards.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

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

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

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

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

Course Format

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

Customization Options

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

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 course explores how large language models and AI-powered tools can accelerate front-end development through prompt-based code generation, layout prototyping, and UI optimization.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level front-end professionals who want to use generative AI to build and iterate user interfaces more quickly and creatively.

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

• Leverage AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
• Create and refine UI components and layouts using generative models.
• Rapidly prototype responsive web designs without writing all code from scratch.
• Optimize front-end code using AI suggestions and automation workflows.

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.

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.

Vibe coding represents 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 (available online or onsite) is tailored for intermediate-level developers and technical leads eager to master AI coding assistants and open-source LLMs to enhance productivity, creativity, and workflow automation.

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

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

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

AI-Enhanced Test Generation and Quality Engineering examines how artificial intelligence tools and large language models (LLMs) can boost test coverage, accelerate test development, and strengthen quality assurance processes.

This instructor-led, live training (available online or onsite) targets QA professionals with intermediate expertise who want to automate and refine their testing strategies using AI-driven tools and methods.

Upon completing this training, participants will be able to:

• Create unit, integration, and UI tests using AI tools and prompts.
• Leverage LLMs for exploratory testing, identifying edge cases, and analyzing regressions.
• Group and prioritize test failures and anomalies using AI-assisted triage.
• Incorporate AI-based testing into CI/CD pipelines to boost release confidence.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options

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

Cursor is an AI-driven development environment designed to boost team collaboration, automate code reviews, and integrate seamlessly into contemporary CI/CD workflows.

This instructor-led training, available online or onsite, targets intermediate-level technical professionals eager to incorporate Cursor into their team settings to enhance collaboration, streamline reviews, and uphold quality across automated pipelines.

After completing this training, participants will be capable of:

• Establishing and managing team environments in Cursor to facilitate collaborative development.
• Utilizing AI tools for automated code reviews, generating pull requests, and validating merges.
• Enforcing code governance, review policies, and security guardrails through Cursor’s features.
• Integrating Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Course Format

• Instructor-led presentations combined with team-based discussions.
• Practical labs focused on real-world team collaboration scenarios.
• Live integration exercises with CI/CD and version control tools.

Customization Options

• The course can be tailored to specific CI/CD platforms, repository tools, or enterprise security requirements.

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.

Devstral is an open-source framework engineered for the creation and execution of coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led, live training session (available online or onsite) targets intermediate to advanced ML engineers, developer-tooling teams, and Site Reliability Engineers (SREs) who aim to design, implement, and optimize coding agents using Devstral.

Upon completion of this training, participants will be capable of:

• Setting up and configuring Devstral for coding agent development.
• Designing agentic workflows tailored for codebase exploration and modification.
• Integrating coding agents with various developer tools and APIs.
• Implementing best practices for secure and efficient agent deployment.

Course Format

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

Course Customization Options

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

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

This instructor-led live training (available online or onsite) targets beginner-level developers and engineering teams looking to streamline their coding workflow and safely leverage AI suggestions for greater efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor for optimal use in development projects.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
• Evaluate, accept, or modify AI-generated code suggestions effectively and securely.
• Adopt best practices for team onboarding, collaboration, and version control integration.

Format of the Course

• Interactive lecture and discussion.
• Hands-on demonstrations and guided exercises.
• Real-world coding challenges and lab practice using Cursor.

Course Customization Options

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

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.

LLMs for Code Understanding, Refactoring, and Documentation is a technical course focused on applying large language models (LLMs) to improve code quality, reduce technical debt, and automate documentation tasks across software teams.

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

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 and improve code readability.
• Automatically generate and maintain in-line comments, README files, and API documentation.
• Integrate LLM-driven insights into existing CI/CD and review workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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 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.

The AI-Driven Software Development Lifecycle (SDLC) is a hands-on course designed to demonstrate how artificial intelligence can elevate every stage of the software development process. Participants will discover strategies for integrating AI tools and methodologies throughout the entire lifecycle, ranging from automated requirement analysis and intelligent test generation to optimized deployment processes.

This instructor-led, live training (available online or onsite) targets intermediate-level software leaders aiming to modernize their SDLC by adopting AI-assisted workflows and tools.

Upon completing this training, participants will be equipped to:

• Utilize AI to transform business inputs into structured requirements and user stories.
• Apply Large Language Models (LLMs) to enhance code documentation, reviews, and refactoring efforts.
• Automate the generation of test cases and perform coverage analysis using AI-driven tools.
• Implement AI-driven monitoring and decision-making capabilities within CI/CD pipelines during deployment.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers who wish to boost 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.
• Integrate Cursor with Git repositories and development workflows.
• Use natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, 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 instructor-led live training in Manaus (available online or onsite) targets beginner-level professionals who want to use Replit AI to build, test, and deploy simple applications more quickly.

By the end of this training, participants will be able to create an app from a prompt, improve code with AI assistance, manage configuration securely, and deploy a working application.

This instructor-led, live training in Manaus (online or onsite) is designed for beginner to intermediate to advanced product teams, developers, and technical business users who want to use Lovable to build production-ready applications more quickly, with better structure, quality, and deployment practices.

By the end of this training, participants will be able to: plan and generate functional applications, improve user flows and data handling, add essential production features, and prepare applications for deployment and team usage.

This instructor-led, live training aims to equip professionals without coding or technical expertise with the confidence to utilize Claude Code—Anthropic’s AI-driven coding and automation platform—to develop real-world projects, streamline workflows, and integrate daily tools using natural language.

Attendees will engage in hands-on tasks via the Claude application (claude.ai and Claude Desktop), progressing from initial interactions to linking Claude with external services through MCP (Model Context Protocol) connectors. The 7-hour curriculum includes a collaborative Live Build Session, where the group addresses real problems submitted by participants, fostering a dynamic environment that enhances prompt evaluation skills in ways individual practice cannot match. Upon course completion, each participant will have created a functional project and linked Claude to at least one external service.

Course Structure

• Interactive lectures paired with live demonstrations
• Guided, real-time hands-on exercises following each concept
• Collaborative Live Build Session featuring real workflow challenges from participants
• Cumulative capstone project with presentation

The goal of this instructor-led, live training is to equip professionals without coding or technical backgrounds to confidently utilize Claude Code — Anthropic’s AI-driven coding and automation tool — to build real projects, automate workflows, and integrate everyday tools using simple English.

Participants will use the Claude app (claude.ai and Claude Desktop) to complete hands-on tasks, starting from their very first interaction and extending to connecting Claude with external services via MCP (Model Context Protocol) connectors. By the end of the course, every participant will have built a working project and connected Claude to at least one external service.

Format of the Course

• Interactive lecture and live demonstration
• Guided hands-on exercises after every concept (participants follow along in real time)
• Cumulative capstone project built throughout the session

This instructor-led, live training in Manaus (online or on-site) 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 Manaus (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to build features autonomously, 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.

This instructor-led, live training session in Manaus (online or onsite) is designed for beginner, intermediate, and advanced-level professionals who want to leverage Bolt.new to swiftly create and enhance web app prototypes.

By the conclusion of this training, participants will be able to create prototypes from prompts, refine features and interface flows, test and troubleshoot application behavior, and publish prototypes for review.

This instructor-led, live training in Manaus (online or onsite) is designed for developers who want 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 inside 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 6 layers (Role, Context, Constraints, Domain Standards, Format, Examples).
• Encode business, security, and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance: Prompt Curator role, naming conventions, versioning, quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, 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.