Deploy Python Ai Chatbot Using Secure Ci/cd And Devops Tools
Published 7/2025
Created by Shikhar Verma
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 58 Lectures ( 2h 27m ) | Size: 1.21 GB
Master CI/CD pipeline to build, secure, and deploy Python AI chatbots with Jenkins, Docker, SonarQube & OWASP tools.
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.
Requirements
Basic knowledge of CI/CD concepts (pipelines, build, deploy)
AWS Account (Free Tier is sufficient for this course)
Familiarity with Git and GitHub (clone, commit, push/pull)
Basic command-line skills (Linux terminal or Windows CMD/PowerShell)
A computer with internet access, preferably with 8GB+ RAM
Ability to install tools (Python, VS Code, Jenkins, Docker, etc.)
No advanced cloud knowledge or DevOps experience is needed - everything is taught step by step.
Description
Learn to build and securely deploy a Python-based AI Spoken English Chatbot using real-world DevOps tools! This hands-on course guides you from secure coding basics to setting up CI/CD pipelines with Git, Jenkins, SonarQube, Docker, and OWASP. You'll manually deploy your chatbot on AWS EC2, then automate the process using industry-standard practices.Perfect for developers, DevOps learners, and AI enthusiasts - gain practical experience in secure coding, automation, and chatbot deployment in one complete project-based course.Introduction and Secure Coding: BasicsGetting Started: Course Objectives & StructureIntroduction to Secure CodingSecure Coding: Why it matters?Development Lifecycle: Waterfall Model to CI/CD ToolsOverview of AI Spoken English ChatbotPhases of the Waterfall ModelDrawbacks of the Waterfall ModelHow CI/CD Tools Improve Waterfall ModelGetting Started: Build Your AI Chatbot and Set Up Git WorkflowDevelop AI Chatbot with PythonGit Bash Setup with Repo for Chatbot CodePush Code from Local to Repository Using Git BashDeployment of a Python-Based AI Chatbot Using a Manual Approach (Without DevOps)Deploy an Ubuntu EC2 instance in AWSCreate a Python virtual environment using venvInstall project dependencies using pipClone Git Repo on VMInstall AWS CLI toolCreate IAM User with PermissionsAllow Port 8501 for Streamlit UIRun Chatbot and Access via WebSonarQube Setup for Python Chatbot CI/CD PipelineOverview of the ProjectSet Up Virtual Machine for SonarQubeDocker Installation for SonarQube DeploymentRun SonarQube in a Docker ContainerAccess SonarQube Dashboard via Port 9000Jenkins Setup for Python Chatbot CI/CD PipelineProvision an Ubuntu Virtual Machine for JenkinsInstall Java, Docker & Jenkins on the ServerAccess the Jenkins Web UI via BrowserConfiguring Jenkins for DevOps and Tool IntegrationInstall and Manage Jenkins PluginsJenkins Tool Setup: JDK, SonarQube, OWASP & DockerConfigure Jenkins Authentication with SonarQubeConfigure SonarQube Server in JenkinsEnable Sudo for Jenkins UserPython Project Setup via Jenkins PipelineCloning the GitHub Repository via PipelinePipeline Stage: Install Python RequirementsAdd Python Dependencies File to RepoRun Pipeline & Check LogsFix Issues & Re-execute PipelineIntegrating SonarQube with Jenkins CI/CD PipelineIntro to SonarQube and Properties FileInstall SonarScanner on Jenkins ServerAdd SonarQube Analysis Stage in CI/CD PipelineRun the Jenkins PipelineFix and Re-run Jenkins PipelineIntegrating OWASP Dependency-Check into Jenkins CI/CD PipelineOverview of OWASP Dependency-Check ToolOWASP Scan: Prerequisites ChecklistUnderstanding Jenkins Pipeline for OWASP ScanTrigger the Pipeline JobOWASP Dependency Check Report SummaryCI/CD Deployment of Chatbot with DockerAdd Pipeline Stage: Deploy Chatbot using DockerUnderstanding the Dockerfile for Chatbot DeploymentDocker Access for Jenkins & Port 8501Optimize Docker Build with .dockerignoreTrigger and Monitor Jenkins PipelineAccess the Chatbot in Your BrowserTroubleshooting and Finalizing Chatbot DeploymentValidation Error EncounteredCreate IAM User with Required PermissionsConfigure AWS Credentials in JenkinsRe-run Jenkins Pipeline and Access AI ChatbotLast lecture
Who this course is for
Aspiring DevOps Engineers who want hands-on experience with Python and Jenkins CI/CD pipelines.
QA/Test Engineers aiming to automate deployment and testing workflows.
Software Developers looking to integrate their Python projects with automated deployment tools.
Students & Freshers eager to build real-world projects and enhance their resumes.
IT Professionals transitioning into DevOps or automation roles.
Deploy Python Ai Chatbot Using Secure Ci/cd And Devops Tools
