Building Your Own Small Tools with AI, No Programming Needed Training Course

This advanced training on South Africa delves into GitHub Copilot and AI applications tailored for corporate infrastructure. It empowers managers with the skills to optimize project management, streamline workflows, and improve decision-making through AI tools, with a specific focus on large-scale projects.

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

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

This instructor-led, live training (available online or onsite) is tailored for intermediate-level software developers aiming to improve productivity and code quality by leveraging AI-assisted coding with Cursor.

By the end of the training, participants will have the ability 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.
• Apply AI capabilities for refactoring, documentation, and testing.

This live, instructor-led training in South Africa presents Cursor as an AI-enabled environment designed to fast-track data and ML processes. Learners will discover how to streamline notebook development, ETL pipelines, and model operations through practical tasks that boost productivity and ensure operational consistency.

This instructor-led training in South Africa supports developers in adopting Cursor, an AI-powered editor that enhances productivity through intelligent completions and context-aware edits. Learners will develop practical skills in refactoring, secure review of AI suggestions, and team collaboration to streamline their development processes.

This instructor-led, live training in South Africa 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 to ensure consistent quality.

This instructor-led, live training in South Africa (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 South Africa (online or onsite) is designed for intermediate to advanced participants aiming to optimise team workflows, enhance collaborative coding practices, and effectively manage Copilot usage within multi-developer settings.

Upon completing this training, participants will be able to:

• Configure GitHub Copilot for team environments.
• Use Copilot to strengthen collaborative coding practices.
• Optimise team workflows by leveraging Copilot’s capabilities.
• Manage Copilot’s integration in multi-developer projects.
• Maintain consistent code quality and standards across teams.
• Utilise advanced Copilot features tailored to specific team requirements.
• Combine Copilot with other collaborative tools to enhance efficiency.

This instructor-led, live training in South Africa (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 South Africa (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 South Africa (online or onsite) is designed for developers from beginner to expert levels who wish to utilise AI for code generation with Tabnine.

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.
• Utilise Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specific tasks.

This instructor-led, live training in South Africa (online or on-site) 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.