AI for Software Development Training in Leon

This advanced training in Leon covers GitHub Copilot and AI applications for corporate infrastructure. It empowers managers to optimize project management, streamline workflows, and enhance decision-making using AI tools, with a specific focus on large-scale projects.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level software professionals looking to leverage AI and machine learning to boost efficiency and foster innovation in software development.

Upon completing this training, participants will be able to:

• Grasp the role of AI and machine learning in automating software development tasks.
• Deploy AI tools to generate code, tests, and documentation.
• Utilize AI techniques for code optimization, quality assurance, and debugging.
• Integrate AI into DevOps and CI/CD pipelines to enhance deployment strategies.
• Navigate ethical considerations and challenges associated with AI-augmented software engineering.

This instructor-led, live training in Leon (online or onsite) targets intermediate to advanced participants who want 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 conducted in Leon (online or onsite) targets intermediate QA engineers, developers, and team leads who want to use GitHub Copilot to achieve more efficient debugging, higher code quality, and streamlined code reviews.

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

• Configure GitHub Copilot for debugging and code review.
• Identify and fix bugs efficiently with Copilot.
• Elevate code quality using AI-assisted recommendations.
• Optimize code review workflows with Copilot's capabilities.
• Collaborate effectively in team settings using Copilot.

This instructor-led, live training in Leon delves into the core concepts and practical fundamentals of the course, enabling participants to develop practical skills that are directly applicable to real-world work environments and contemporary business requirements through expert guidance.

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

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

• Set up GitHub Copilot for front-end development projects.
• Leverage 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.
• Troubleshoot and debug front-end code using Copilot assistance.

Delivered in Leon, this instructor-led program addresses the ethical, legal, and governance aspects of AI in software development. The training centers on bias, licensing, and regulatory compliance, equipping participants with the skills to mitigate risks and establish policies for the safe and responsible integration of AI into their projects.

This instructor-led training in Leon introduces Cursor as an AI-powered environment to accelerate data and ML workflows. Participants will learn to streamline notebook development, ETL pipelines, and model operations through practical exercises that enhance productivity and operational consistency.

This instructor-led, live training in Leon (online or onsite) targets beginner to intermediate Python developers looking to harness GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

Upon completing 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 and improve workflow efficiency.
• Utilize Copilot for implementing machine learning projects in Python.

This instructor-led training in Leon empowers 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 live, instructor-led training in Leon (online or on-site) 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 session in Leon (online or on-site) is designed for developers from novice to expert levels 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.

This live, instructor-led training for Leon assists teams in integrating Cursor to optimize collaboration and code review processes. It covers managing workspaces, automating AI-assisted pull requests, enforcing governance policies, and linking Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding scenarios, improve productivity, and integrate Copilot into their development workflows.

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

• Optimize their use of GitHub Copilot for advanced coding tasks.
• Write code that is more efficient, less error-prone, and easier to maintain using Copilot’s suggestions.
• Integrate GitHub Copilot into their preferred IDEs and development workflows.
• Utilize Copilot for debugging and refactoring code.
• Understand the limitations and ethical implications of using AI-powered coding tools.

This instructor-led, live training in Leon (online or onsite) is designed for experienced developers and team leads who wish to master the 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 Leon (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

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

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

Gain mastery over Devstral through this live training session held in Leon. The curriculum delves into system architecture, agentic workflow design, and tool integration. Tailored for advanced engineers, the course utilizes hands-on labs to construct coding agents that enhance both productivity and security in contemporary development environments.

This instructor-led course in Leon guides developers in adopting Cursor, an AI-powered editor that enhances productivity through smart completions and contextual edits. Learners will develop practical skills in refactoring, secure review of AI suggestions, and team collaboration to streamline their workflows.

This instructor-led, live training in Leon (online or in-person) targets beginner-level developers interested in mastering GitHub Copilot’s capabilities, setting it up, and applying it effectively to elevate their coding experience.

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

• Understand the concept and functionality of GitHub Copilot.
• Install and configure GitHub Copilot on a supported code editor.
• Utilize GitHub Copilot to accelerate the writing, refactoring, and debugging of code.
• Use Copilot to explore various coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into everyday workflows.

This live, instructor-led training in Leon empowers intermediate to advanced software professionals to apply LLMs for deep codebase analysis, refactoring anti-patterns for better readability, and automating documentation tasks—including API specifications and README generation—to effectively reduce technical debt.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level Python developers and data scientists seeking to boost their productivity with Tabnine.

Upon completion 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 Leon (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, 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.
• Identify different AI coding assistant tools and their features.
• Utilize AI coding assistants for basic coding tasks.
• Address basic ethical considerations and responsible use of AI in development.

This live, instructor-led training (online or onsite) targets intermediate software developers aiming to elevate productivity and code quality by leveraging AI-assisted coding with Cursor.

By the end of the session, participants will be capable of:

• Installing and configuring Cursor for AI-assisted development.
• Integrating Cursor with Git repositories and development pipelines.
• Generating, debugging, and optimizing code using natural language.
• Utilizing AI for refactoring, documentation, and testing tasks.

This instructor-led live training in Leon (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to effectively utilize GitHub Copilot within modern development workflows.

This instructor-led, live training in Leon (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 empowers software teams to integrate state-of-the-art AI tools throughout the Software Development Lifecycle (SDLC). Designed as an interactive game with progressive “levels,” the experience combines technical skill-building, creativity, and collaboration.

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

Built for modern development environments, this workshop promotes 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 Leon (online or onsite) is designed for entry-level professionals aiming to use Replit AI to expedite the creation, testing, and deployment of simple applications.

By the end of the session, participants will be equipped to: generate applications from prompts, enhance code with AI support, manage configurations securely, and deploy functional applications.

This instructor-led, live training in Leon (delivered online or on-site) is tailored for developers and technical leads looking to build AI applications using the Claude API, retrieval systems, agents, and serverless AWS deployment, followed by securing them against risks such as prompt injection, tool abuse, and data leakage.

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

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

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

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

This instructor-led, live training in Leon is intended for intermediate to advanced developers and tech leads looking to configure and scale Claude Code for consistent team performance.

By the end of the training, participants will be equipped to:

• Structure CLAUDE.md files, settings, and permissions for repositories and teams
• Create custom subagents with specific roles and tool access
• Write hooks that automatically enforce formatting, testing, and safety rules
• Package recurring workflows as Skills, slash commands, and plugins
• Connect Claude Code to external systems via MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, and critically assess its output

Targeted at business users, this live, instructor-led session held in Leon empowers non-technical staff to build simple internal tools and prototypes.

By the conclusion of the program, participants will be able to:

• Define small tools effectively for AI-driven construction
• Create working prototypes utilizing Lovable
• Employ Claude Code for simple helper tools under guidance
• Determine when a prototype necessitates developer assistance

This instructor-led live training in Leon is aimed at intermediate-level developers who wish to take a project from idea 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 it effectively with a CLAUDE.md.
• Scaffold an application and integrate data and a CMS.
• Build tests and run QA with subagents.
• Set up automated deployment to Vercel or Cloud Run.

This instructor-led, live training in Leon (online or onsite) is designed for 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.

GitHub Copilot

Course objectives transform software and AI engineers into legal engineers—professionals capable of constructing AI solutions for legal tasks such as eDiscovery, review, and investigations.

Over the course of two days, participants construct the full core stack: ingesting and extracting complex real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, maintaining privacy via a local model while proving its security, conducting a defensible AI review with court-ready metrics, and packaging the final result for deployment.

Lovable converts natural language prompts into web applications, making it a powerful tool for creating internal tools, forms, dashboards, and prototypes. This one-day course covers the interface, prompting strategies, database setup, login integration, and publishing, resulting in a live application and the beginning of your own use case. No programming background is needed.

The instructor, Tim Jamboula, serves as an official Lovable Ambassador and Cursor Ambassador.

This live, instructor-led training in Leon is targeted at specialists, project leads, founders, and teams who wish to build internal tools, forms, dashboards, or prototypes on their own.

By the end of this session, participants will be equipped to:

• Understand how AI-assisted building functions and determine when Lovable is the best fit
• Confidently operate the interface, including Plan, Build, and Visual Edits
• Prompt effectively using five key principles and apply relevant knowledge and skills
• Set up databases, login systems, storage, and connectors
• Publish applications securely and interpret security scan results
• Begin their own use case and identify next steps

Course Format

• Duration: 1 day (7 hours)
• Interactive learning with expert guidance, discussions, and practical exercises on personal use cases
• Day 1 Outcome: Each participant will have a published app with a database, login, and live URL, plus a started personal use case.

Customization Options

• Please contact us to arrange a customized training experience for this course.

Interactive prototypes built in a matter of hours can serve as a superior alternative to static mockups during discovery and stakeholder reviews. In this intensive one-day workshop, product managers and designers will learn to generate variants, establish a design system, facilitate live reviews, and prepare for a seamless handover to engineering. Attendees will conclude the session with a completed prototype for a feature of their own.

The course is led by Tim Jamboula, an official Lovable Ambassador and Cursor Ambassador.

This live, instructor-led training in Leon is designed for: Product managers, product owners, UX, UI, and service designers, as well as discovery teams.

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

• Navigate the journey from initial briefing to a clickable prototype within a single session
• Develop multiple design variants concurrently and iterate using user feedback
• Implement a design system, including components and brand guidelines, within Lovable
• Conduct stakeholder reviews featuring functional prototypes and real-time adjustments
• Determine the appropriate time for the handover to development and prepare the necessary documentation

Course Structure

• Duration: 1 day (7 hours)
• Interactive sessions with an instructor, including discussions and hands-on exercises tailored to participants' specific use cases
• Deliverables for Day 1: Each participant will have a clickable prototype for a specific feature, a saved design system, and a handover document for the development team.

Customization Options

• To request a tailored training experience for this course, please reach out to us to make arrangements.

This two-day program guides teams from a concise initial briefing to a tested and released first version. The content covers prototyping, data and role management, live stakeholder iteration, user testing, security, deployment, and the transition to developers. Participants apply these concepts to their own specific use cases throughout the training.

The instructor, Tim Jamboula, is an official Ambassador for both Lovable and Cursor.

This live, instructor-led training in Leon is tailored for product teams, innovation managers, founders, and departments aiming to turn ideas into tested prototypes and usable first versions.

By the end of the session, participants will be capable of:

• Creating an interactive prototype from a brief overview
• Refining prototypes in real-time collaboration with stakeholders
• Configuring data structures, user roles, authentication, and integrations
• Testing with actual users and integrating their feedback
• Finalizing security, deployment, and operational readiness for the first release
• Structuring a handover plan for development teams

Training Structure

• Schedule: Two days (seven hours per day), with a group size of six to twelve participants
• Methodology: Interactive instruction with trainer-led discussions and hands-on exercises using participants' specific use cases
• Day 1 Result: Participants will have a prototype with a database and login system, refined through a simulated stakeholder session
• Day 2 Result: Participants will possess a deployed, tested first version of their use case, along with a handover document

Customization Options

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

This instructor-led, live training in Leon (online or onsite) is designed for beginner-level, intermediate-level, or advanced-level professionals who wish to utilize Bolt.new to rapidly create and enhance web application prototypes.

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

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

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

Course format for participant assessment:

• Interactive workshops designed for multiple profiles (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction led by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong exclusively to the client organization.

Course customization options

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