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AI-Powered Vibe Coding
Training for Agile & Modern Teams

Objectives

Mazenet corporate training in Vibe Coding equips teams to embrace the future of development through AI, natural language, and human-centric workflows. This Vibe Coding training introduces participants to next-gen programming models using tools like GitHub Copilot and ChatGPT. With a blend of hands-on labs, real-world applications, and collaborative prototyping, learners shift from syntax-based to intent-driven coding. The course also covers vibe coding AI techniques including multimodal and emotion-aware development. Backed by Mazenet’s expertise in customized, industry-relevant upskilling, this training prepares your workforce to build smarter, faster, and more intuitively in today’s evolving tech landscape.

Course Outcome

Understand and apply the core principles of Vibe Coding AI, including prompt engineering and natural language programming.
Leverage tools like GitHub Copilot, ChatGPT, and Replit to generate, test, and optimize code using natural language input.
Transform business requirements into functional workflows using low-code/no-code platforms and intent-based coding.
Design and prototype multimodal applications using voice, gesture, and emotion-aware interfaces.
Collaborate effectively across teams using human-centered AI design principles and conversational development tools.
Build functional prototypes using AI-powered tools and present them as part of a capstone project.
Stay agile and adaptable to emerging technologies in generative development and cognitive user experiences.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • What is Vibe Coding?
  • Vibe Coding vs Traditional Coding
  • Industry applications and future potential

  • Anatomy of a good prompt
  • Few-shot vs zero-shot prompting
  • Prompt patterns for logic, creativity, and structure Hands-on: Prompt tuning with ChatGPT / Claude

  • Overview of LLMs (ChatGPT, Claude, Gemini)
  • GitHub Copilot, Replit Ghostwriter, Ghost AI.
  • Visual AI with Runway & Figma AI Lab: Code generation using GitHub Copilot and Replit

  • Transforming business logic into code
  • Demonstrations of various prompt techniques
  • No-code / low-code AI platforms Tools Covered: Power Apps + Copilot, ChatGPT Code Interpreter, Android Studio + Gemini

  • Expressing intent with clarity
  • Logic framing: Decision trees, flows, loops
  • Guiding AI to write modular & reusable code Exercise: Convert user stories into working app snippets using Copilot

  • What is multimodal input?
  • Voice, gesture, visual, emotional inputs
  • Tools like Whisper (voice-to-text), RunwayML Demo: Voice-to-code with OpenAI Whisper

  • Basics of sentiment detection and emotional inference?
  • Using Lobe.ai and BioUX-like tools Lab: Build a basic emotion-sensing app interface (no-code)

  • HCI principles in AI interaction
  • Conversational UX for AI assistants
  • Neuro-symbolic and intent-driven UI Case Study: MIT Media Lab & DeepMind applications

  • Bridging dev + non-dev teams using vibe-based design
  • Translating plain language to workflows
  • Rapid prototyping with Figma AI + ChatGPT Activity: Collaborative design sprint using prompts and AI tools

  • Conversational Coding
  • Emotive UX & Generative UI
  • Cognitive Computing & Fluid Interfaces Journal Review: CHI, DeepMind, ACM HCI trends

  • Define a vibe-based solution (e.g., customer support bot, internal task automator)
  • Use AI tools to build a working prototype or mock
  • Peer Review & Feedback

Skill

  • Prompt Thinking
  • Natural-Language to Code
  • Generative Design
  • Emotion-Aware Development
  • Human-AI Interaction

Tool

  • ChatGPT, Claude, Copilot
  • Replit, GitHub Copilot, MS Power Platform
  • Runway ML, Figma AI, Lobe.ai
  • Whisper, BioUX (experimental), Lobe.ai
  • HCI courses (Stanford/MIT), Fluid Interfaces