Published 6/2025
Created by Chadi Abi Fadel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 31m ) | Size: 2.35 GB
Master Python, AI Integration, and Cloud Deployment to Build Production-Ready Applications
What you'll learn
AI App Development
Data Science
GenAI Engineering
Cloud Deployment
Continuous deployment
Generative AI
ChatGPT
OpenAI
Software Engineering
Requirements
No Programming Experience Required
Knowledge of Computer Concepts is a Plus
Description
Full Stack AI Development Course: Deploy Production-Ready AI ApplicationsTransform Your Ideas Into Live AI Applications with Python ProgrammingMaster 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 EverythingMost 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 DeploymentCreate Python utility functions for real calculationsBuild your first interactive web app with StreamlitMaster GitHub workflows and version controlDeploy to Streamlit Community Cloud with free hostingSet up professional development environmentsWeek 2: Production-Grade Cloud InfrastructureTransition to Google Cloud Run for enterprise-level hostingLearn containerization and scalable architectureMaster environment variables and secrets managementUnderstand when and why to upgrade from free platformsImplement monitoring and maintenance best practicesWeek 3: AI Integration MasteryDeep dive into OpenAI SDK with hands-on projectsMaster API key management and security best practicesImplement intelligent features with error handlingOptimize costs and manage rate limitingBuild AI-powered user experiences that actually workWeek 4: Complete AI Application ProjectDesign and build an AI-powered tagline generatorCombine all skills into one professional applicationCreate polished user interfaces and user experience flowsDeploy your portfolio-worthy capstone projectImplement feedback systems and user analyticsReal AI Development Skills, Real Results
eploy 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 clientsTechnologies You'll Master in This AI Programming Courseython programming and modular code designStreamlit for rapid web application developmentGit and GitHub for professional version controlGoogle Cloud Platform and cloud deployment strategiesOpenAI API integration and optimizationEnvironment management and security best practicesApplication monitoring and performance optimizationPerfect For AI Programming Beginners and Professionals:Complete beginners starting their AI development journeySoftware developers adding AI and cloud skills to their toolkitData scientists wanting to productionize their machine learning workEntrepreneurs building AI-powered products and servicesProfessionals in any field wanting to create custom AI toolsStudents preparing for modern tech careersWhat You Get with This AI Development Course:Step-by-step video tutorials with real-time codingComplete source code for every projectDeployment checklists and troubleshooting guidesHands-on exercises with immediate feedbackPortfolio of live, deployed applicationsLifetime access to course updates and new contentCommunity access for questions and networkingNo Experience Required for This AI Programming Course:No prior programming knowledge neededNo expensive software or tools requiredNo complex setup or configurationNo theoretical lectures without practical applicationEverything Provided for AI Development Success:Free tools and platforms for all projectsComplete setup guides for every environmentBeginner-friendly explanations of complex conceptsReal-world examples and industry best practicesStudent 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.
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