Programming with Vibe Coding and LLMs Course
Course Overview
The "Programming with Vibe Coding and LLMs: Creative Development with Language Models" course offers a modern approach to software development through the use of generative artificial intelligence and large language models. This training is designed to help participants understand how new AI-assisted programming approaches are transforming the way applications, prototypes, and digital solutions are created. Throughout the course, students will learn to work with LLMs as active tools in the development process, using natural language and structured prompts to efficiently generate functional code. The approach combines theoretical foundations and practical application, enabling the integration of language models into real-world workflows, improving development speed, and enhancing technical creativity in professional environments.
What Nanfor Courses Include
Nanfor courses are designed to offer a professional, practical learning experience aligned with the most in-demand technological certifications. This training includes structured content, updated materials, and access to a virtual campus that allows for flexible and progressive study. Students have access to resources focused on both individual study and preparation for certification.
Nanfor is committed to a clear methodology, centered on concepts, applied practice, and a real understanding of the platform. All content is designed to facilitate knowledge validation and enable students to apply what they have learned to their professional environment from day one.
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Advantages of Generative Artificial Intelligence and Vibe Coding Training
Training in Vibe Coding and language models allows for a new way of programming based on natural interaction with artificial intelligence. This approach facilitates faster software development, lowers the barrier to entry for advanced programming, and improves efficiency in application creation. The use of AI-assisted programming enables the transformation of ideas into functional prototypes with greater agility, optimizes development processes, and improves the quality of generated code. Furthermore, this training prepares professionals for a paradigm shift in the world of development, where language models act as intelligent assistants capable of continuously generating, correcting, and improving code.
Prerequisites
Basic programming knowledge, development logic, and familiarity with software environments are recommended for this course. No prior experience in artificial intelligence is required, as concepts are introduced progressively. This training is suitable for technical profiles, developers, programmers, and professionals who wish to incorporate generative artificial intelligence into their usual workflows.
Course General Information
👨 Who is this course for?
This course is aimed at software developers, programmers, IT professionals, technical profiles, technology consultants, and individuals interested in the use of artificial intelligence applied to development. It is also suitable for creative profiles with a technical background who wish to explore new forms of programming using language models and AI-assisted programming, as well as for professionals seeking to update their software development skills.
🎯 Training Objectives. What will you learn?
The main objective of the course is to enable students to use large language models as active tools in software development. Upon completion of the training, students will be able to design effective prompts, generate functional code using natural language, integrate artificial intelligence into real projects, and apply AI-assisted programming efficiently. They will also learn to evaluate results generated by language models, improve code quality, and apply best practices in AI-assisted development environments.
📚 Course Content – Program
Module 1: Introduction to Vibe Coding
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What is Vibe Coding?
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Emotional foundations of creative flow
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Flow state and programming as art
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Comparison: traditional coding vs vibe coding
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Tools that enhance the vibe (music, light, environment)
Module 2: Fundamentals of LLMs
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What are LLMs and how do they work (without complex formulas)
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APIs and usage environments (OpenAI, HuggingFace, Ollama)
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Types of prompts and basic architectures
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Limitations and biases of LLMs
Module 3: Preparing the Vibe Coding environment
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Configuration of VSCode, Copilot, Cursor, Warp or Replit
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Integration with ChatGPT, Gemini or Claude
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Plugins, extensions and setups that foster a creative state
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Use of music, custom keyboard and ergonomics
Module 4: Prompt Engineering applied to code
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Techniques for giving effective instructions
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Few-shot, zero-shot and chain-of-thought prompting
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How to get expressive code, not just functional
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Prompt iteration for creative debugging
Module 5: Quick projects with Vibe Coding
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30-minute projects with the help of an LLM
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Useful scripts born from an idea + good prompt
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Exploration of generated code and customization
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Exercises: Twitter bot, name generator, mini-game in terminal
Module 6: ChatOps and personal assistants
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How to build a console bot with LLM as backend
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Simple automation with Python + OpenAI API
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No-code tools for vibe coders (Zapier, Make)
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Project: Assistant that responds according to your mood
Module 7: Real applications of Vibe Coding
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Startups born from a “vibe”
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How to prototype ideas in 1 afternoon with LLMs
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Real cases: from web pages to useful extensions
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Exercise: app to detect songs based on lyrics
Module 8: Ethics, burnout and mental health in Vibe Coding
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How to avoid creative exhaustion
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When to stop: limits of “flow”
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Wellness practices for creative programmers
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Reflection on human-AI collaboration
Module 9: Final individual or pair project
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Choose an idea driven by your own “vibe”
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Use LLMs to design, write and polish the code
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Peer feedback and group review
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Prototype presentation: aesthetics + functionality + story
Module 10: Future of Vibe Coding and LLMs
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Is this a fad or a new way of programming?
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Open source LLMs: the future of personalization
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Communities and forums for continuation
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Tips for continued growth with the vibe-driven approach
🌐 Language
Spanish
ℹ️ Do you want to take this course? Request information now
If you want to take this course in a virtual format, you can purchase it at the top of the product page. For any questions, please contact us.
If you want to take this course in an in-person or telepresence format, please contact us:
Why choose Nanfor as a specialized IT training center?
Nanfor is a specialized IT training center with extensive experience in software development, artificial intelligence, and advanced technological training. Its proprietary courses combine a practical approach, updated content, and expert guidance, ensuring a learning experience aligned with the real needs of the professional market.
❓ Frequently Asked Questions
What does Vibe Coding offer compared to traditional programming?
Vibe Coding allows programming using natural language and language models, facilitating software creation faster and more accessibly.
Does this course teach programming from scratch?
The course builds on existing technical knowledge but facilitates learning new forms of AI-assisted programming.
What type of software can be developed with language models?
Applications, automations, prototypes, and intelligent solutions supported by generative artificial intelligence can be created.
Is the quality of AI-generated code addressed?
Yes, the course covers techniques for reviewing, correcting, and improving generated code to ensure its quality and reliability.
Is this course useful for improving professional productivity?
AI-assisted programming allows for accelerating development, reducing time, and optimizing workflow.
What is the duration and modality of the course?
The training is delivered in virtual - e-learning modality, with access to the Nanfor virtual classroom and support during the training period.
The course can be subsidized (FUNDAE) for companies, according to specific conditions and planning.
Does this approach replace traditional programming?
No. Vibe Coding does not replace traditional programming but complements it, incorporating language models as development support without replacing the programmer's technical judgment.
