Building Coding Agents with Devstral: From Agent Design to Tooling Training Course

This advanced training in Nigeria delves into 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 training in Nigeria empowers advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions for enterprise workflows.

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is tailored for developers looking to use GitHub Copilot Agent Mode to autonomously build features, execute tests, and manage complex 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 standards.

Delivered by an instructor, this live training session (available online or onsite) is tailored for intermediate-level software developers looking to enhance their productivity and code quality through AI-assisted coding with Cursor.

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

• Install and set up Cursor for AI-driven software development.
• Connect Cursor with Git repositories and established development workflows.
• Employ natural language to generate, debug, and fine-tune code.
• Utilize AI capabilities to refactor, document, and test software.

This instructor-led course in Nigeria presents Cursor as an AI-powered tool to fast-track data and ML operations. Learners will master the art of streamlining notebook development, ETL pipelines, and model operations through practical exercises that drive higher productivity and consistent operations.

This instructor-led training in Nigeria guides developers in adopting Cursor, an AI-powered editor that enhances productivity through smart completions and contextual edits. Learners acquire practical skills in refactoring, reviewing AI suggestions safely, and fostering team collaboration to optimize workflows.

This live, instructor-led training in Nigeria assists teams in integrating Cursor to optimize 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 for consistent quality assurance.

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is designed for intermediate to advanced 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 Nigeria (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 instructor-led, live training in Nigeria (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 Nigeria (online or on-site) is designed for developers of all skill levels who want to harness AI for code generation using Tabnine.

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

• Grasp the fundamentals of AI-powered code generation.
• Install and set up Tabnine within their development environment.
• Use Tabnine for efficient code completion and error correction.
• Build and train custom AI models with Tabnine for specialized tasks.

This instructor-led live training in Nigeria (online or onsite) targets intermediate-level Python developers and data scientists seeking to increase their productivity through 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.