Deploy Python AI Chatbot Using Secure CI/CD and DevOps Tools
Master CI/CD pipeline to build, secure, and deploy Python AI chatbots with Jenkins, Docker, SonarQube & OWASP tools.
4.50 (3 reviews)
297
students
2.5 hours
content
Jul 2025
last update
$19.99
regular price
What you will learn
Understand secure coding principles and the importance of secure software development practices in AI applications.
Compare traditional Waterfall and modern CI/CD approaches for software development and deployment.
Build an AI-powered Spoken English Chatbot using Python, and version control code using Git and GitHub.
Manually deploy the chatbot on an AWS EC2 instance, set up virtual environments, install dependencies, and run the app via Streamlit.
Set up and configure Jenkins and SonarQube in a cloud environment for continuous integration and code quality analysis.
Install and manage essential DevOps tools in Jenkins, including Docker, JDK, SonarQube, and OWASP Dependency-Check.
Automate cloning of repositories and installation of Python dependencies using Jenkins pipelines.
Integrate SonarQube and OWASP into Jenkins pipelines for code analysis and security vulnerability scanning.
Deploy the chatbot as a Docker container using Jenkins pipelines and ensure secure and optimized Docker configuration.
Troubleshoot, validate, and finalize the chatbot deployment, including resolving permission errors and managing AWS IAM credentials securely.
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6719601
udemy ID
14/07/2025
course created date
17/08/2025
course indexed date
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