| File Name: | GenAI Engineering Sprint: Code, Deploy, Scale, Repeat |
| Content Source: | https://www.udemy.com/course/genai-engineering-sprint-code-deploy-scale-repeat/ |
| Genre / Category: | Other Tutorials |
| File Size : | 2.4 GB |
| Publisher: | udemy |
| Updated and Published: | June 15, 2025 |
What you’ll learn
- AI App Development
- Data Science
- GenAI Engineering
- Cloud Deployment
- Continuous deployment
- Generative AI
- ChatGPT
- OpenAI
- Software Engineering
Full Stack AI Development Course: Deploy Production-Ready AI Applications
Transform Your Ideas Into Live AI Applications with Python Programming
Master the complete journey from writing your first Python function to deploying production-ready AI applications that thousands can use. This comprehensive AI programming course provides a blueprint for modern AI development that emphasizes real-world deployment from day one.
Why This AI Programming Course Changes Everything
Most AI courses teach you to code, then leave you stranded when it’s time to share your work with the world. We flip that approach entirely. You’ll deploy your first AI application within hours and never write code that sits unused on your laptop again.
What You’ll Build & Deploy in This AI Development Training:
Week 1: Foundation & First Deployment
- Create Python utility functions for real calculations
- Build your first interactive web app with Streamlit
- Master GitHub workflows and version control
- Deploy to Streamlit Community Cloud with free hosting
- Set up professional development environments
Week 2: Production-Grade Cloud Infrastructure
- Transition to Google Cloud Run for enterprise-level hosting
- Learn containerization and scalable architecture
- Master environment variables and secrets management
- Understand when and why to upgrade from free platforms
- Implement monitoring and maintenance best practices
Week 3: AI Integration Mastery
- Deep dive into OpenAI SDK with hands-on projects
- Master API key management and security best practices
- Implement intelligent features with error handling
- Optimize costs and manage rate limiting
- Build AI-powered user experiences that actually work
Week 4: Complete AI Application Project
- Design and build an AI-powered tagline generator
- Combine all skills into one professional application
- Create polished user interfaces and user experience flows
- Deploy your portfolio-worthy capstone project
- Implement feedback systems and user analytics
Real AI Development Skills, Real Results:
Deploy Before You Code – Every function gets tested in production environments Modern Development Workflows – Professional Git, GitHub, and CI/CD practices Cloud-Native Architecture – Build applications that scale from day one AI Integration Expertise – Practical OpenAI API implementation and optimization Production-Ready Code – Error handling, monitoring, and user experience design Portfolio Projects – Live applications you can show to employers or clients
Technologies You’ll Master in This AI Programming Course:
- Python programming and modular code design
- Streamlit for rapid web application development
- Git and GitHub for professional version control
- Google Cloud Platform and cloud deployment strategies
- OpenAI API integration and optimization
- Environment management and security best practices
- Application monitoring and performance optimization
Perfect For AI Programming Beginners and Professionals:
- Complete beginners starting their AI development journey
- Software developers adding AI and cloud skills to their toolkit
- Data scientists wanting to productionize their machine learning work
- Entrepreneurs building AI-powered products and services
- Professionals in any field wanting to create custom AI tools
- Students preparing for modern tech careers
What You Get with This AI Development Course:
- Step-by-step video tutorials with real-time coding
- Complete source code for every project
- Deployment checklists and troubleshooting guides
- Hands-on exercises with immediate feedback
- Portfolio of live, deployed applications
- Lifetime access to course updates and new content
- Community access for questions and networking
No Experience Required for This AI Programming Course:
- No prior programming knowledge needed
- No expensive software or tools required
- No complex setup or configuration
- No theoretical lectures without practical application
Everything Provided for AI Development Success:
- Free tools and platforms for all projects
- Complete setup guides for every environment
- Beginner-friendly explanations of complex concepts
- Real-world examples and industry best practices
Student Success Stories from Our AI Programming Course:
Our graduates have used their projects to land jobs at tech companies, start freelance AI development businesses, and build products that serve thousands of users. The deploy-first methodology means you’ll have a professional portfolio before you even finish the course.
Start Building AI Applications Today:
In just 4 weeks, you’ll go from never having written a line of code to deploying AI applications that solve real problems for real users. No more tutorial hell, no more projects that never see the light of day – just practical skills that get results.
Investment in Your AI Development Future:
As AI transforms every industry, the ability to build and deploy AI applications becomes one of the most valuable skills in the modern economy. This course provides both the technical expertise and practical experience that employers and clients actively seek.
Join thousands of developers who have transformed their careers by mastering the complete AI application development lifecycle. Your journey from local scripts to production AI applications starts now.
Who this course is for:
- Ambitious Python developers and data‐science enthusiasts who want to level-up into full-stack AI engineers by building and deploying Streamlit-based ML apps on Google Cloud Run from scratch.
- Motivated software and data professionals seeking hands-on mastery of end-to-end AI app creation—from coding Streamlit interfaces to production deployment on Google Cloud Run.
DOWNLOAD LINK: GenAI Engineering Sprint: Code, Deploy, Scale, Repeat
GenAI_Engineering_Sprint_Code__Deploy__Scale__Repeat.part1.rar – 1.5 GB
GenAI_Engineering_Sprint_Code__Deploy__Scale__Repeat.part2.rar – 908.3 MB
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