Programming with Vibe Coding, AI Agents, and LLMs Course | Generative Artificial Intelligence and Modern Development
The Programming with Vibe Coding, AI Agents, and LLMs course is designed for professionals who want to learn how to develop modern applications using artificial intelligence as an active part of the development process. The training covers the use of large language models (LLMs), intelligent agents, and AI-assisted programming tools such as GitHub Copilot, Claude Code, Windsurf, Ollama, or LM Studio.
Generative artificial intelligence is transforming software development, allowing for task automation, accelerated code creation, improved debugging processes, and facilitating the building of AI-First products. Technologies developed by organizations such as OpenAI, Anthropic, Google, or Meta are part of the current ecosystem that companies across all sectors use to increase their productivity and innovation capacity.
Throughout this course, you will learn to integrate AI agents and language models into your daily workflow, developing applications, automations, and intelligent assistants applicable to areas such as software development, operations, marketing, document management, and technological innovation. The training combines fundamentals, guided practice, and a final project that allows you to apply the knowledge in real-world scenarios.
Furthermore, this course is subsidizable through FUNDAE, allowing companies and professionals to access training aligned with the latest trends in AI-driven development.
Course Overview
The Programming with Vibe Coding, AI Agents, and LLMs (2026 Edition) course provides a comprehensive overview of new AI-assisted development methodologies, combining fundamentals of Vibe Coding, Prompt Engineering, Agentic Coding, and AI-First product development.
During the training, participants will work with leading market tools such as GitHub Copilot, Claude Code, Windsurf, Ollama, and modern language models, learning to integrate them into the development cycle to accelerate application creation, automate tasks, and improve productivity.
The course addresses both the technical and methodological aspects of modern development with AI, including the use of intelligent agents, MCP, automation via APIs, AI-Native application design, good security practices, and responsible development.
Thanks to a practical approach based on real projects, students will learn to collaborate with artificial intelligence systems throughout the development process, from the ideation phase to the creation of functional prototypes and products ready for professional environments.
What Nanfor courses include
At Nanfor, we offer a complete training experience that combines quality educational material, expert support and our own learning platform, adapted for both individual and corporate training.
All our courses include official and complementary educational material,, practical activities, learning assessments, forums, virtual advisor, progress tracking and personalized academic support throughout the training, in addition to a certificate of completion.
Learn about all the components
Advantages of training in Vibe Coding, AI Agents, and LLMs
- Master modern AI-assisted development methodologies.
- Learn to use GitHub Copilot, Claude Code, Windsurf, and other leading market tools.
- Improve productivity through automation and collaboration with intelligent agents.
- Apply Prompt Engineering and Context Engineering in real projects.
- Develop AI-First applications and AI-Native solutions.
- Work with cloud models and local models like Ollama and LM Studio.
- Build intelligent assistants using MCP, APIs, and Agentic AI systems.
- Design complete projects from initial idea to functional prototype.
- Understand emerging trends in AI-driven development.
- Prepare for the new role of the developer in the age of artificial intelligence.
The training provides a balanced combination of technical knowledge, practical methodology, and strategic vision, enabling effective application of artificial intelligence in professional development and automation projects.
Prerequisites
To get the most out of the course, basic programming knowledge and familiarity with software development tools are recommended.
- Basic programming knowledge in any language (Python, JavaScript, Java, C#, etc.).
- Understanding of concepts such as variables, functions, control structures, and basic file handling.
- Basic experience using a development environment, preferably Visual Studio Code.
- Ability to install applications and configure tools on your computer.
It is not necessary to master a specific programming language. The methodologies, tools, and concepts worked on during the course can be applied to multiple technologies and development environments.
General course information
Who is this Programming with Vibe Coding, AI Agents, and LLMs course for?
This course is aimed at developers, programmers, software engineers, technology professionals, and technical profiles who wish to incorporate generative artificial intelligence tools into their development processes to increase their productivity and accelerate the creation of digital solutions.
It is also especially useful for professionals working with automation, DevOps, technological innovation, creation of digital products, or digital transformation, and who wish to understand how to use GitHub Copilot, Claude Code, Windsurf, AI agents, and large language models (LLMs) within their daily workflow.
The training is equally oriented towards profiles who wish to get started in AI-First development, explore the potential of intelligent agents, and learn modern AI-assisted programming methodologies that are transforming the software industry.
Training objectives: What will you learn?
Upon completion of the course, you will be able to integrate generative artificial intelligence tools into your development process to design modern applications, automate complex tasks, and build AI-First products using work methodologies aligned with current trends in the software industry.
- Understand the fundamentals of Vibe Coding and AI-assisted development.
- Learn about the functioning of major language models (LLMs) and select the most appropriate one for each need.
- Configure modern development environments using GitHub Copilot, Claude Code, Windsurf, Ollama, and LM Studio.
- Apply Prompt Engineering and Context Engineering techniques to improve result generation.
- Develop applications using artificial intelligence throughout the entire development cycle.
- Build intelligent assistants using agents, APIs, and the MCP standard.
- Design AI-First products and AI-Native applications.
- Apply principles of security, privacy, and responsible AI development.
- Improve professional productivity through intelligent automation.
- Design, develop, and present a complete project based on AI and intelligent agents.
Course Content Programming with Vibe Coding, AI Agents, and LLMs – Program
Unit 1. Fundamentals of Vibe Coding and Generative AI
- What is Vibe Coding?
- Emotional foundations of the creative flow.
- Flow state and programming as art.
- Comparison: traditional programming vs. AI-assisted development.
- Evolution of Vibe Coding towards Agentic Coding.
- What are LLMs and how do they work?
- Commercial and open source models.
- OpenAI, Claude, Gemini, and the current model ecosystem.
- Local AI with Ollama and LM Studio.
- Modern models: Llama, Qwen, DeepSeek, and others.
- Limitations, biases, and privacy.
- When to use cloud models and local models.
- The new role of the developer in the AI era.
Unit 2. Preparing the Modern Development Environment
- Visual Studio Code setup.
- GitHub Copilot and Agent Mode.
- Chat Driven Development, IDE Driven Development, and CLI Driven Development.
- Claude Code as an agentic environment.
- Windsurf: Cascade, Memories, and Rules.
- Cursor, OpenCode, and other modern AI-assisted development tools.
- Local AI with Ollama and LM Studio integrated into the development environment.
- Productivity, ergonomics, and flow state.
Unit 3. Modern Application Development with AI
- Fundamentals of Prompt Engineering in 2026.
- Zero-Shot, Few-Shot, and Chain-of-Thought Prompting.
- Prompting for AI agents.
- Building a personal prompt library.
- Context Engineering: beyond the prompt.
- From prompt to project: code generation, debugging, and evolution with AI.
- Debugging and refactoring with AI.
- Philosophy of rapid prototyping with AI.
- From prompt to functional prototype.
- Quick projects with GitHub Copilot Agent.
- Quick projects with Claude Code.
- Quick projects with Windsurf Cascade.
- Customization and improvement of generated code.
- Iteration and continuous product improvement.
- Complete mini-project: from MVP to functional prototype.
Unit 4. Agentic Coding and Intelligent Automation
- What is Agentic Coding?
- Building assistants with AI.
- Automation through APIs, MCP, and intelligent agents.
- ChatOps and personal assistants.
- Integration with Zapier and Make.
- Automatic flows and productivity.
- Low-code and no-code tools.
- Practical project: AI-based professional assistant.
Unit 5. AI-First Products and Real-World Applications
- From MVP to AI-First Product.
- Real-world cases of AI development.
- Designing AI-Native applications.
- AI agents applied to real products.
- How to validate an idea in record time.
- Comprehensive analysis of an AI-First project.
Unit 6. Responsible AI Development
- The new role of the developer in the AI era.
- Critical thinking and human supervision.
- Productivity, Flow, and digital well-being.
- Ethics, privacy, and responsible use of AI.
- How to prepare for the future of AI development.
Unit 7. Final Project
- Idea definition.
- Project planning and design.
- Application of AI, agents, and AI-First methodologies during development.
- Implementation and refinement.
- Validation and continuous improvement.
- Prototype presentation.
- Reflection and personal evaluation.
Unit 8. Future Trends in AI Development
- The evolution of AI-assisted development.
- The future of Agentic Coding.
- MCP and the ecosystem of connected agents.
- Multi-agent systems and advanced automation.
- Open source models and customization.
- Emerging trends in AI development.
- How to continue evolving as an AI-First developer.
Language
Spanish
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If you want to take this course virtually, you can purchase it at the top of the product. For any questions, please contact us.
If you want to take this course in classroom or telepresence mode, please contact us:
Why choose Nanfor as a specialized IT training center?
Nanfor is a specialized IT training center with extensive experience in technology training for professionals and companies. Our programs combine updated content, a practical approach, and expert support to facilitate the real application of knowledge in the work environment.
- Expert tutors with real experience in projects, technologies, and professional certifications.
- Personalized academic support throughout the training to accompany student progress.
- Practical methodologies based on real cases and scenarios applicable to the workplace.
- Our own learning platform with resources, activities, evaluations, and continuous monitoring.
- Training aligned with technological trends and current needs of organizations.
- Flexible learning modalities: online, in-person, and telepresence.
- Experience in corporate training and digital talent development programs.
Frequently asked questions about the course
What is Vibe Coding and how is it used in the Programming with Vibe Coding, AI Agents, and LLMs course?
Vibe Coding is a modern AI-assisted development methodology that combines creativity, productivity, and collaboration with language models (LLMs) and intelligent agents. In this course, you will learn to use Vibe Coding to develop applications, automate tasks, and accelerate software projects using AI tools.
What advantages does generative artificial intelligence offer over other traditional development tools?
Generative artificial intelligence technologies allow for code generation, task automation, assistance in solution design, application debugging, and accelerated product development. Unlike traditional approaches, they facilitate a more natural interaction with the programming process through natural language and intelligent agents.
Is the Programming with Vibe Coding, AI Agents, and LLMs course subsidizable through FUNDAE?
Yes. The Programming with Vibe Coding, AI Agents, and LLMs course is subsidizable through FUNDAE for companies, allowing for full or partial recovery of the investment made in training, depending on available training credits.
What is the duration and access to the Programming with Vibe Coding, AI Agents, and LLMs course?
The duration and access period will depend on the contracted modality. During the course, students have access to Nanfor's virtual campus, educational materials, practical activities, assessments, and specialized academic support.
Is the Programming with Vibe Coding, AI Agents, and LLMs course included in Nanfor's LaaS?
Yes. The Programming with Vibe Coding, AI Agents, and LLMs course can be part of Nanfor's LaaS (Annual Continuous Training License) programs, facilitating continuous access to specialized training in artificial intelligence and technological development.
Does the Programming with Vibe Coding, AI Agents, and LLMs course require previous technical knowledge?
Basic programming knowledge and familiarity with development environments like Visual Studio Code are recommended. It is not necessary to master a specific language, as the methodologies and tools learned can be applied to different technologies.
How is the use of AI agents and LLMs applied in daily work?
AI agents and language models can be used to generate code, automate processes, create intelligent assistants, document projects, accelerate repetitive tasks, and improve individual and development team productivity.
What artificial intelligence tools are used in the Programming with Vibe Coding, AI Agents, and LLMs course?
The course works with widely used tools in the market such as GitHub Copilot, Claude Code, Windsurf, Ollama, LM Studio, and different latest generation language models, allowing students to learn about the main environments currently used in AI-First projects.
What professional opportunities does training in Vibe Coding, AI Agents, and LLMs offer?
The training allows participants to develop highly demanded skills in areas such as AI-assisted software development, intelligent automation, creation of AI-First products, prompt engineering, Agentic Coding, and the design of solutions based on language models and intelligent agents.
