AI+ Vibe Coder - eLearning (exam included)
275,00 EUR
- 10 hours
Unlock the Future of Coding Step into the next era of software development with the AI+ Vibe Coder™ certification. A beginner-friendly program that shows you how to harness AI to write smarter, faster, and more creative code. Learn programming fundamentals enhanced with generative AI tools that automate repetitive tasks, accelerate app creation, and unlock intelligent workflows. You’ll build real projects, practice prompt-driven development, and gain hands-on experience that prepares you to build scalable, AI-augmented applications across industries
Key Features
Language
Course and material in English
Level
Beginner level
Access
1 year access to the platform 24/7
4 hours of video lessons & multimedia
10 hours of study time recommendation
eBooks, Audiobooks, Podcasts
Quizzes, Assessments, and Course Resources
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Accelerate Your Coding for Faster, Smarter Development
Discover how to embed AI into your coding processes to create more intelligent and responsive applications
Learning Outcomes
At the end of this course, you will be able to:
AI-Enhanced Programming
Discover how to develop, refine, and troubleshoot code using advanced AI tools and natural-language-driven interfaces.
Foundations of Machine Learning
Grasp essential ML principles to create intelligent, data-powered applications that evolve and improve over time.
Generative AI in Development
Learn how to leverage generative technologies to automate coding, testing, and innovative problem-solving in practical projects
Responsible and Ethical AI Practices
Build an understanding of ethical AI development, focusing on transparency, fairness, and secure software design.
Course timeline
Foundations of Vibe Coding & AI Development Tools
Lesson 1
- Introduction to the concept of Vibe Coding
- The evolution of AI in software development: Low-Code vs No-Code vs Vibe Coding
- Overview of popular AI coding tools and their functionalities
- Understanding the SDLC for Vibe Coding products
- Hands-on Lab: Exploring and experimenting with multiple AI coding platforms
- Real-world case studies
Prompt Engineering for Code – Core Principles & Techniques
Lesson 2
- Elements of an effective prompt
- Types of prompts: Instructional, descriptive, and iterative
- Prompting strategies: Zero-shot, few-shot, and chain-of-thought methods
- Hands-on Lab: Practicing advanced prompting techniques
- Use Case: Building a Python calculator through prompts
- Use Case: Improving AI-generated code using refined prompting strategies
AI-Powered Debugging & Testing
Lesson 3
- Evaluating and enhancing AI-generated code
- Crafting prompts for bug fixes and improved test coverage
- Leveraging AI to generate unit tests
- Identifying hallucinations and insecure code outputs
- Hands-on Lab: Debugging and unit testing with AI assistance
- Practical activities
Building a Full-Stack Application with Prompts
Lesson 4
- Planning frontend and backend architecture
- Using IDEs and AI code generators for scaffolding
- Connecting application components through natural-language instructions
- Deploying and validating an MVP in a simulated environment
- Hands-on Lab: Developing and integrating a frontend and backend contact form
- Hands-on Lab: Creating a standalone desktop calculator using Tkinter
- Hands-on Assignment: Developing a full-stack task management system using prompt-driven development
Code Ethics, Security & AI Limitations
Lesson 5
- Understanding AI limitations and bias in code generation
- Prompt injection risks and mitigation strategies
- Secure coding practices and data privacy considerations
- Responsible deployment of AI-generated code
- Hands-on Lab: Strengthening awareness of AI risks and ethical practices
Capstone Project – Prompt-Driven Application Development
Lesson 6
- Apply all acquired skills in a comprehensive real-world project
- Collaborate and iterate effectively using AI development tools
- Demonstrate complete end-to-end prompt-based development
- Capstone Option: AI-powered to-do list application
- Capstone Option: AI-powered desktop note-taking app
- Final assignments and project submission
Tools explored
- Python
- TensorFlow
- PyTorch
- GitHub Copilot
- OpenAI Codex
- Hugging Face Hub
- LangChain
- FastAPI
- VS Code
- Jupyter Notebooks
- Pandas
- NumPy
- Scikit-learn
- Docker
- Streamlit
- API Integration Tools
- Prompt Engineering Frameworks
- Automation SDKs
- Version Control Systems (Git)
Who Should Enroll in this Program?
Future Developers – Beginners ready to begin their programming journey with the added advantage of AI-powered tools and automation.
Technology Enthusiasts – Individuals curious about how AI is reshaping coding, application development, and digital innovation.
Students & Recent Graduates – Learners looking to build a strong programming foundation enhanced by practical, real-world AI applications.
Career Changers – Professionals from non-technical backgrounds who want to transition into tech through AI-assisted development.
Entrepreneurs & Innovators – Creators seeking to develop smarter products, automate workflows, and turn AI-driven ideas into reality.
Industry Growth
Transforming Creative Coding with Intelligent Innovation
- The global Vibe Coding market is projected to reach USD 36,970.5 million by 2032, growing at a 32.5% CAGR from 2025 to 2032 (Source: Congruence Market Insights).
- AI is reshaping software development by introducing natural-language-driven coding, accelerating build times and significantly improving productivity.
- Organizations are embedding AI coding agents into their development workflows to shorten iteration cycles and launch digital products faster.
- The rapid rise of AI coding assistants is also generating new global career opportunities for professionals who combine creative thinking with strong technical skills.
More Details
Prerequisites
- Foundational Computer Literacy – Comfort navigating operating systems and managing files.
- Basic Mathematical Knowledge – Familiarity with algebra and introductory statistics concepts.
- Analytical Mindset – Ability to think logically and solve problems in a structured, step-by-step manner.
- Interest in Programming – A genuine curiosity and willingness to learn coding from the ground up.
- English Language Skills – Sufficient proficiency to understand technical instructions and learning materials clearly.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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