Develop Scalable Web Applications
Design and develop full-stack applications with Python on the backend and React or Angular on the frontend.
Career-focused professional training
Python Full Stack Development with AWS DevOps & AI
Build modern web applications using Python, Django, FastAPI and frontend frameworks. Learn cloud deployment with AWS, DevOps automation and practical AI/ML integration.
Course duration listed by CIIT: 7 months. Weekday and weekend schedules are available.
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7 MonthsCourse duration as listed
2 ModesClassroom & Online
2 Batch OptionsWeekdays & Weekends
3 LanguagesEnglish, Hindi & Marathi
PYTHON + AWS + AI/ML
Learn to create scalable, cloud-powered and intelligent applications.
Combine Python full-stack development with AWS cloud services, DevOps practices and AI/ML integration. Learn how frontend interfaces, backend services, databases and cloud infrastructure work together.
The course covers Python development, Django, FastAPI, modern frontend frameworks, AWS services, deployment workflows and practical projects.
- Build full-stack applications using Python.
- Create web applications and REST APIs with Django and FastAPI.
- Develop user interfaces using React or Angular.
- Deploy and scale applications using AWS services.
- Work with Docker, Jenkins and CI/CD pipelines.
- Explore AI APIs, machine learning and generative AI integration.
THE PYTHON + AWS + AI STACK
From Python fundamentals to cloud deployment and AI-powered applications.
Develop practical skills across the software lifecycle, including frontend, backend, databases, cloud and intelligent features.
LEARNING OUTCOMES
What can you accomplish at the end of training?
Build practical skills to develop, deploy and support modern Python applications.
Deploy on AWS Cloud
Use services such as EC2, S3, RDS and Lambda to deploy, manage and scale applications.
Integrate AI/ML Capabilities
Explore AI APIs, chatbots, data analytics, search features and machine learning model deployment.
Implement DevOps Practices
Understand Docker, Jenkins and AWS tools for continuous integration and continuous deployment.
Build an E-commerce Project
Create an e-commerce application with product listings, cart features and payment integration concepts.
Build a Project Portfolio
Use practical course projects and a capstone project to demonstrate your development skills.
Prepare for Industry Roles
Develop a foundation for roles such as Python developer, cloud engineer and AI integrator.
Explore Certifications
Learn about relevant Python and AWS certification pathways, including AWS Certified Developer – Associate.
CAREER ADVANTAGES
Core Benefits of Python + AWS + AI/ML
A combined skill set spanning application development, cloud infrastructure and intelligent technologies.
High Demand
AI, cloud and full-stack development skills are used across sectors such as healthcare, finance and e-commerce.
Versatile Opportunities
Explore software development, cloud, data and machine learning related career paths.
Global Relevance
Python and AWS technologies are used to build and operate applications across industries.
Faster Development
Full-stack and automation knowledge can help teams streamline development workflows.
Intelligent Automation
Explore AI-assisted coding, testing, documentation and application features.
Cloud Ecosystem
Work with AWS infrastructure and services for application hosting and AI/ML workloads.
Data & Analytics
Learn foundational data analysis and the role of data pipelines in AI applications.
Future-focused Skills
Build knowledge in areas where software, cloud platforms and AI technologies intersect.
COURSE HIGHLIGHTS
What will you learn?
A practical learning path covering Python, frontend, backend, databases, AWS, DevOps and AI/ML.
Core & Advanced Python
- Python fundamentals and syntax
- Object-Oriented Programming
- Data structures and algorithms
- Exception handling and multithreading
- Practical Python programming
Frontend Development
- HTML5 and CSS3
- JavaScript ES6+
- Responsive user interfaces
- React or Angular framework
- Single-page application concepts
Backend Development
- Django framework
- FastAPI framework
- Object-relational mapping
- REST API development
- Microservices concepts
Database Management
- Relational databases
- MySQL and Oracle
- NoSQL fundamentals
- MongoDB
- Django ORM concepts
AWS Cloud Integration
- Amazon EC2
- Amazon S3
- Amazon RDS
- AWS Lambda and API Gateway
- CodeCommit, CodeBuild and CodeDeploy
DevOps & Development Tools
- Git and GitHub
- Docker fundamentals
- Kubernetes basics
- Jenkins build automation
- CI/CD workflow concepts
AI/ML Integration
- AI API integration
- Chatbot and automation concepts
- Machine learning model deployment
- Amazon SageMaker introduction
- Generative AI concepts
Data Analysis Fundamentals
- Introduction to data analysis
- Basic statistical concepts
- Machine learning algorithms
- Data pipelines for AI features
Projects & Career Support
- Hands-on real-world projects
- Capstone project
- Portfolio development
- Resume building and mock interviews
- Placement assistance
WHO CAN JOIN?
Who can learn this course?
The course page identifies learners from different technical and educational backgrounds.
🎓
Students & Recent Graduates
Students in computer science, engineering or data science interested in application development.
💻
IT Professionals
Professionals looking to broaden their skills across Python, cloud and AI technologies.
👨💻
Software Developers
Developers who want to expand into backend services, cloud applications or AI integration.
☁
AWS & Cloud Professionals
Cloud practitioners interested in Python application development and AI/ML services.
🔧
DevOps Engineers
Engineers interested in deployment automation and MLOps-related concepts.
🌱
Career Changers
Learners with foundational computer science and programming knowledge.
CAREER PATHS
Explore career opportunities
The reference page highlights the following roles for this combined skill set.
Full Stack Python Developer
Build frontend and backend features for web applications using Python frameworks and modern UI tools.
Cloud Engineer
Work with cloud infrastructure, application deployment and AWS services.
Software Architect
Contribute to application architecture, integration and scalable software solutions.
AI Integrator
Connect AI APIs and intelligent features with software applications.
MLOps Engineer
Support the deployment and monitoring lifecycle of machine learning models.
Data Scientist / Engineer
Work with data analysis and data pipelines that support AI applications.
SALARY INFORMATION
Average salary ranges listed on the course page
These figures are reproduced from the reference page and are not a salary guarantee.
Average Salaries in India
Entry-Level (under 2 years)₹6 LPA – ₹12 LPA
Mid-Level (3–7 years)₹12 LPA – ₹25 LPA
Senior / Lead (7+ years)₹25 LPA – ₹50 LPA+
Actual compensation varies by experience, skills, employer, location and role.
Average Salaries in the United States
Entry-Level (0–2 years)$80,000 – $120,000+
Mid-Level (3–7 years)$120,000 – $180,000
Senior / Lead (7+ years)$100,000 – $130,000
AWS AI Engineer$140,000 – $212,500+
Figures are reference-page claims, not independently verified salary data. The source lists overlapping ranges.
WHY CIIT
Key features that make CIIT a learning destination
Training and learner support features highlighted by CIIT Training Institute.
Expert Trainers
Training provided by industry experts with professional experience.
Modern Infrastructure
Facilities and tools designed to support an engaging learning experience.
Comprehensive Curriculum
Course topics designed around current technologies and industry trends.
Flexible Schedules
Weekday, weekend and online learning options.
Personalized Attention
Small batch sizes for mentoring and doubt-solving support.
Real-Time Project Training
Practical sessions and projects based on real-world development.
Placement Assistance
Career support to help learners prepare for job opportunities.
Affordable Fees
Competitive fees and flexible payment options as described by CIIT.
Learning Materials
Lifetime access to learning materials, as stated on the course page.
Certification Guidance
Explore industry-recognized certification pathways.
Diverse Course Offerings
Programs across IT, business, design and other learning areas.
CIIT TRAINING ASSURANCE
5-Day Money-Back Guarantee
The reference page states that learners who are dissatisfied within the first five days may request a refund. Please confirm the current eligibility, process and terms directly with CIIT before admission.
LEARNER EXPERIENCES
Our success lies in our learners' success stories
Selected learner feedback displayed on the CIIT reference page.
★★★★★
“One of the best institutes ... especially for those students who want to start their career in IT. I recently got placed; special thanks to the CIIT team for their support and guidance.”
Vaibhav SaykarStudent feedback on CIIT page★★★★★
“Learning at CIIT has been a truly rewarding experience. Trainers are knowledgeable, approachable and always ready to help. Each topic is explained clearly.”
Saurabh LonkarStudent feedback on CIIT page★★★★★
“The course content was practical and well-organized, helping me build strong development skills with real-time project experience.”
Ajay WaghStudent feedback on CIIT pageJoin. Learn. Succeed.
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