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ACLM Institute of Professional Studies

FULL STACK PYTHON DEVELOPER

Full Stack Python Developer Online Courses & Certifications

12 MonthsOnline / OfflineIntermediateACLM CertificationACLM Certification
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COURSE OVERVIEW

Course Overview

ACLM Institute of Professional Studies presents the 12-month Full Stack Python Developer programme for learners who want to understand the complete lifecycle of Python-powered applications—from programming fundamentals and databases to web development, APIs, deployment, DevOps and application operations. The programme is delivered through instructor-led Online / Offline training and includes ACLM notes, assignments and practical projects.

WHY THIS COURSE

Why Learn This Course?

Python is widely used across web development, data handling, automation and enterprise software. This programme connects Python programming with front-end technologies, databases, web frameworks, APIs, testing, deployment and operational practices, helping learners build a structured understanding of full-stack software development.

LEARNING OUTCOMES

What You Will Learn

  • Python programming concepts, syntax, data structures, object-oriented programming and application development practices.
  • Development environments, shells, virtual environments, dependency management and source control with Git.
  • Relational databases, SQL, ORM concepts, NoSQL systems and Python data analysis libraries.
  • Web development using HTML, CSS, responsive design, JavaScript and Python web frameworks.
  • Template engines, REST APIs, microservices, webhooks, third-party integrations and asynchronous task processing.
  • Testing, debugging, code quality, application security and secure web-development practices.
  • Application hosting, web servers, WSGI servers, containers, continuous integration and configuration management.
  • DevOps foundations covering monitoring, logging, caching, analytics and performance awareness.
  • Application delivery through structured projects and ACLM assignments.
  • Practical differences between development, deployment and operation of full-stack applications.
SKILLS

Skills You Will Gain

  • Python programming and problem-solving
  • Software development workflow management
  • Database design and data access
  • Full-stack web application development
  • Front-end integration with JavaScript frameworks
  • REST API creation and integration
  • Testing and debugging
  • Git-based source control
  • Application deployment fundamentals
  • Docker and infrastructure fundamentals
  • Basic DevOps monitoring and performance practices
  • Secure coding awareness
WHO SHOULD JOIN

Who Should Join?

Students and working professionals who want to develop practical full-stack Python development knowledge. The programme is suitable for learners at an intermediate level who are prepared to practise programming, web development and application deployment concepts.

PREREQUISITES

Prerequisites

Basic knowledge of programming is required. Familiarity with general computer usage is helpful. No prior professional experience with Python is required, but learners should be prepared to practise regularly throughout the programme.

TRAINING APPROACH

Training Methodology

ACLM Institute of Professional Studies delivers the programme through instructor-led Online / Offline training, with online one-to-one learning support where applicable. The programme includes ACLM notes, assignments, demonstrations, guided coding practice, project work, troubleshooting discussions and progressive application-building exercises. Training is available online for India and international learners, and offline at Greater Noida West, Greater Noida, Noida, Gaziabad and Delhi NCR.

CURRICULUM

Detailed Course Syllabus

ModuleTopics / Lessons
Module 1: Python Programming and Full-Stack Foundations
Establish the programming foundation required for full-stack development and introduce the role of Python across web applications, data work and enterprise software.
  • What Full Stack Means — Understand the relationship between front end, backend, databases, APIs, deployment and operations. 120 min
  • Python Language and Use Cases — Explore Python syntax, readability, general-purpose use and common application areas. 150 min
  • Variables, Data Types and Operators — Work with Python values, expressions, conversions and basic input and output. 150 min
  • Conditions, Loops and Functions — Use control flow, iteration, functions, arguments, scope and reusable logic. 180 min
  • Collections and Comprehensions — Practise lists, tuples, sets, dictionaries and collection-oriented programming. 150 min
  • Modules, Packages and Exceptions — Organise code, import functionality and handle errors responsibly. 180 min
  • Object-Oriented Python — Use classes, objects, inheritance, encapsulation and composition in application code. 210 min
  • Python Resources and Enterprise Context — Review Python resources, enterprise usage, open-source libraries and responsible technology selection. 90 min
Module 2: Development Environments, Shells and Source Control
Build a reliable local development workflow using editors, terminals, isolated environments and version control.
  • Editors and IDEs — Compare text editors and development environments including Vim, Emacs, Sublime Text, PyCharm and Jupyter Notebook. 150 min
  • Bash, Zsh and PowerShell — Navigate files, run commands, manage processes and use shell workflows across operating systems. 180 min
  • Terminal Multiplexers — Understand practical use cases for tmux and screen during development and server work. 90 min
  • Dependencies and Virtual Environments — Create isolated environments, manage application dependencies and maintain repeatable setups. 180 min
  • Localhost Tunnels and Development Sharing — Understand local application exposure for testing integrations and demonstrations. 90 min
  • Git Workflow — Practise repositories, commits, branches, merges, remotes, ignores and collaborative history. 210 min
  • Mercurial and Source-Control Concepts — Compare source-control concepts and understand where alternative workflows may be used. 90 min
Module 3: Data, Databases and Data Presentation
Learn how Python applications store, retrieve, model, analyse and present data using relational and non-relational technologies.
  • Relational Database Concepts — Understand tables, relationships, keys, constraints and query-oriented thinking. 150 min
  • PostgreSQL, MySQL and SQLite — Compare common relational databases and practise application-oriented database usage. 210 min
  • SQL and Data Modelling — Work with queries, joins, filtering, aggregation, transactions and practical schema design. 240 min
  • Object-Relational Mapping — Use ORM concepts with SQLAlchemy, Peewee, Django ORM and an overview of Pony ORM. 210 min
  • NoSQL Systems — Review Redis, MongoDB, Apache Cassandra and Neo4j, including suitable data-model considerations. 180 min
  • NumPy, SciPy and Pandas — Load, transform, inspect and analyse structured data in Python. 240 min
  • Visualisation with Matplotlib and Bokeh — Create useful charts and communicate data patterns through visual output. 180 min
  • Markup for Technical Work — Use Markdown and reStructuredText for documentation and project communication. 90 min
Module 4: Web Development with Python
Progress from web fundamentals to server-rendered applications, responsive interfaces and framework-based development.
  • How the Web Works — Understand browsers, HTTP requests, responses, routes, forms, cookies and sessions. 180 min
  • HTML and Semantic Structure — Build accessible page structures and connect forms to application workflows. 180 min
  • CSS and Responsive Design — Style interfaces, use responsive principles and organise maintainable presentation rules. 210 min
  • Bootstrap and Foundation — Use CSS frameworks to create consistent responsive layouts and interface components. 150 min
  • JavaScript for Web Applications — Understand client-side behaviour, events, asynchronous requests and browser integration. 210 min
  • Python Web Framework Landscape — Compare Django, Flask, Bottle, Pyramid, TurboGears, Falcon, Morepath and Sanic by use case and architecture. 180 min
  • Django Application Structure — Create views, URLs, models, templates, forms and administrative workflows in Django. 240 min
  • Flask and Lightweight Application Design — Build route-driven applications and understand the trade-offs of a lightweight framework. 180 min
  • Templates and Presentation Logic — Use Jinja2, Mako and Django Templates to generate maintainable server-rendered pages. 180 min
  • React, Vue.js and Angular Overview — Understand how modern JavaScript frameworks interact with Python backends and APIs. 180 min
  • Static Sites and Documentation — Review Pelican, Lektor and MkDocs for content and documentation publishing workflows. 120 min
Module 5: APIs, Integrations and Asynchronous Processing
Develop service-oriented application features and connect Python applications with internal and external systems.
  • REST and Web API Design — Design resources, endpoints, methods, status codes, validation and structured responses. 210 min
  • Django REST Framework — Build serializers, views, routers, permissions and documented API workflows. 240 min
  • Microservices and Service Boundaries — Understand service decomposition, communication patterns and practical trade-offs. 150 min
  • Webhooks and Bots — Receive events, send notifications and design basic automated interactions. 150 min
  • Task Queues and Background Work — Use Celery, Redis Queue and Dramatiq concepts for delayed and asynchronous processing. 240 min
  • External API Integration — Review integration patterns for Twilio, Stripe, Slack and Okta, including credentials and failure handling. 210 min
  • WebSockets, WebRTC and Real-Time Concepts — Understand persistent connections, real-time updates and browser communication use cases. 180 min
Module 6: Testing, Debugging, Quality and Security
Introduce disciplined validation, troubleshooting, code quality and common web-application security protections.
  • Unit Testing — Write focused tests for functions, classes and application components. 180 min
  • Integration Testing — Test interactions among routes, databases, services and application boundaries. 180 min
  • Debugging Techniques — Trace failures, inspect state, reproduce defects and document fixes. 180 min
  • Code Metrics and Maintainability — Use readability, structure, duplication and complexity awareness to improve code quality. 120 min
  • SQL Injection Prevention — Understand unsafe query patterns, parameterisation and ORM-assisted protection. 150 min
  • Cross-Site Request Forgery — Understand CSRF risks and protective application patterns. 120 min
  • Application Security Practices — Review secrets, authentication considerations, input validation, HTTPS and secure dependency practices. 180 min
Module 7: Application Deployment and Web Infrastructure
Prepare Python applications for hosting and understand the infrastructure layers involved in delivery.
  • Hosting and Static Content — Understand application hosting, static assets, servers and content delivery networks. 150 min
  • VPS and Platform Options — Review VPS concepts using Linode, DigitalOcean and Lightsail, alongside PaaS options such as Heroku, PythonAnywhere and AWS CodeStar. 210 min
  • Operating-System Environments — Compare practical development and deployment considerations across Ubuntu Linux, macOS, FreeBSD and Windows. 180 min
  • Web Servers — Configure the conceptual roles of Apache HTTP Server, Nginx and Caddy. 180 min
  • WSGI Servers — Understand Python application serving with Gunicorn, uWSGI and mod_wsgi. 180 min
  • Configuration and Environment Management — Separate configuration from code and prepare applications for different environments. 150 min
  • Docker Containers — Create container images, manage services and package a Python application consistently. 240 min
  • Kubernetes Fundamentals — Understand container orchestration concepts, workloads, services and deployment considerations. 180 min
  • Serverless Architectures — Review AWS Lambda, Azure Functions and Google Cloud Functions as application execution models. 150 min
Module 8: DevOps, CI and Application Operations
Connect development with repeatable delivery, monitoring, performance awareness and operational feedback.
  • Continuous Integration — Understand automated checks and review the roles of Jenkins and GoCD. 150 min
  • Configuration Management — Review repeatable server and environment configuration with Ansible and Salt concepts. 180 min
  • Logging and Error Tracking — Design useful logs and review operational feedback through Rollbar and Sentry concepts. 150 min
  • Monitoring with Prometheus and Datadog — Understand metrics, alerts, dashboards and service health monitoring. 180 min
  • Caching and Performance — Review caching strategies, bottleneck awareness, static assets and application performance basics. 180 min
  • Web Analytics and Operational Review — Use analytics concepts to understand application usage and inform improvements. 120 min
  • Deployment Readiness Checklist — Prepare configuration, tests, documentation, rollback awareness and operational notes. 150 min
Module 9: Integrated Projects and Professional Practice
Apply the complete learning sequence through ACLM assignments, guided builds and a final full-stack project.
  • Project Discovery and Requirements — Define users, workflows, features, data requirements and project scope. 150 min
  • Architecture and Database Planning — Create application boundaries, data models, routes and technology decisions. 180 min
  • Incremental Application Development — Build features in manageable iterations using source control and instructor feedback. 300 min
  • API, Front-End and Integration Review — Connect application layers and validate end-to-end workflows. 240 min
  • Testing, Security and Quality Review — Run tests, troubleshoot defects and review common security risks. 210 min
  • Deployment and Operations Review — Package, deploy and inspect the application using appropriate infrastructure concepts. 210 min
  • Project Documentation and Presentation — Prepare setup instructions, technical documentation, project limitations and a clear demonstration. 150 min
  • Future Directions in Full-Stack Python — Review continuing learning pathways, evolving tools and responsible technology selection. 90 min
HANDS-ON EXPERIENCE

Practical Projects

  • Python Developer Foundations Portfolio — Create a structured Python portfolio containing command-line utilities, reusable modules, object-oriented components, file handling, error handling and documented exercises. The work establishes a maintainable coding foundation for later web projects. Tools: Python, PyCharm or another text editor, Jupyter Notebook, virtual environments, Git
  • Database-Driven Web Application — Build a Python web application with user-facing pages, form handling, relational data models, CRUD workflows and responsive layouts. Learners practise separating presentation, application logic and data access. Tools: Python, Django or Flask, PostgreSQL or SQLite, SQLAlchemy or Django ORM, HTML, CSS, Bootstrap
  • REST API and Integration Service — Design and implement a documented API, validate requests, return structured responses and connect the application with selected external services or webhooks. Testing and error-handling requirements are included in the assignment. Tools: Python, Django REST Framework or a suitable API framework, JSON, Git, selected integration such as Twilio, Stripe, Slack or Okta concepts
  • Deployment and Operations Assignment — Prepare a Python application for deployment by configuring dependencies, application settings, a web server or WSGI server, containerisation, logging and basic monitoring. The assignment connects development work with operational readiness. Tools: Docker, Nginx or Apache HTTP Server, Gunicorn or uWSGI, Linux concepts, Git, Prometheus or Sentry concepts
  • ACLM Full-Stack Capstone Project — Plan, build, test and present a complete Python-powered application combining a responsive interface, database, API or service layer, authentication considerations, background processing and deployment documentation. The project is supported by ACLM guidance and assignments. Tools: Python, Django or Flask, relational database, HTML, CSS, JavaScript, Git, Docker and selected testing and deployment tools
CAREER APPLICATION

Career Opportunities

The skills developed in this programme can support further learning and entry-level or developing responsibilities related to Python development, web application development, backend development, API development, software development and junior DevOps-oriented application support. Actual role suitability depends on the learner’s portfolio, experience, interview performance and employer requirements.

CERTIFICATION

Certification

Learners may receive an ACLM Certificate of Participation, subject to the applicable ACLM programme requirements. The certification available for this course is the ACLM Certificate of Participation; no employment, placement, university affiliation or external accreditation claim is made.

FAQ

Frequently Asked Questions

What is the duration of the Full Stack Python Developer course?

The programme duration is 12 months.

Who is this course for?

It is designed for students and working professionals with basic programming knowledge who want structured intermediate-level training in Python full-stack development.

What training modes are available?

Training is available Online / Offline. Offline training locations supplied for this course are Greater Noida West, Greater Noida, Noida, Gaziabad and Delhi NCR.

Is the course available for international learners?

Yes. The online market listed for this course is India+International.

Is the training recorded?

No. The course is not listed as a recorded programme. It is delivered through instructor-led training, including online one-to-one learning support where applicable.

What technologies are covered?

The curriculum covers Python, development environments, Git, relational and NoSQL databases, ORMs, Django, Flask, other Python web-framework concepts, HTML, CSS, JavaScript, APIs, testing, Docker, deployment and DevOps topics.

Are practical projects included?

Yes. The programme includes projects and assignments by ACLM, including Python exercises, a database-driven web application, an API integration service, deployment work and a full-stack capstone project.

What certification is available?

ACLM Certificate of Participation is available, subject to applicable ACLM programme requirements.

What is the course fee?

The supplied course fee is INR 72,000. Learners should confirm current fee terms and applicable enrolment details with ACLM Institute of Professional Studies.

Does the course guarantee a job or placement?

No employment, placement or salary guarantee is stated for this course. Career outcomes depend on the learner’s skills, portfolio, experience and the requirements of individual employers.

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