Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Python Web Development

(2189)
Live Online & Classroom Training
EMI
0% Interest

AI professionals with expertise in Generative AI are highly sought after by top companies in India and global countries. It is the time for you to upskill your fundamentals with Generative AI training in Chennai at SLA as we offer the best Generative AI course with placement assistance. Our Generative AI course syllabus covers data preparation, model selection, model training, evaluation, and deployment. 

You will learn LLMs (Large Language Models), deep learning, and reinforcement learning for developing Generative AI projects. Gain expertise with TensorFlow, PyTorch, Hugging Face Transformers, Google Cloud AI platform, and Amazon SageMaker with our Generative AI certification course in Chennai.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
February 2025
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
February 2025
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Python Web Development Course Syllabus

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Join our Generative AI Training in Chennai with Placement at SLA Institute to learn key skills such as Python programming, regression, classification, decision trees, clustering, dimensionality reduction, neural networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), transformers, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Large Language Models (LLMs), TensorFlow, PyTorch, Scikit-Learn, Hugging Face Transformers, Data Cleaning and Preprocessing, Data Visualization Techniques, Big Data Technologies, and so on. 

Module 1: Python Fundamentals
Core Python Concepts:
  • Data Types and Variables
  • Control Flow (if/else, loops)
  • Functions
  • Object-Oriented Programming (Classes, Objects, Inheritance)
  • Working with Files
  • Modules and Packages
Data Structures:
  • Lists, Tuples, Dictionaries, Sets
  • Working with data structures in Python
Module 2: Web Fundamentals
Introduction to the Web:
  • Client-Server Architecture
  • HTTP Protocol
  • URL Structure
HTML, CSS, and JavaScript:
  • Basic HTML, CSS, and JavaScript concepts
  • Working with HTML elements, CSS selectors, and JavaScript DOM manipulation
  • Introduction to front-end frameworks (optional)
Module 3: Python Web Frameworks (Flask)
Introduction to Flask:
  • Setting up a Flask development environment
  • Routing and Request Handling
  • Templates (Jinja2)
  • Working with Forms
  • Session Management
  • Building simple web applications with Flask
Module 4: Python Web Frameworks (Django)
Introduction to Django:
  • Setting up a Django project
  • Models (Object-Relational Mapping)
  • Views
  • URLs
  • Templates
  • Forms
  • Building more complex web applications with Django
Module 5: Database Interaction
Introduction to Databases:
  • Relational databases (SQL)
  • Database design concepts
  • Working with Databases in Python:
  • Connecting to databases (SQLite, PostgreSQL)
  • SQL queries (SELECT, INSERT, UPDATE, DELETE)
  • Object-Relational Mapping (ORM) with Django and Flask
Module 6: RESTful APIs
Introduction to RESTful APIs:
  • REST principles
  • Designing and building RESTful APIs with Flask/Django
  • Consuming external APIs
  • API security
Module 7: Front-End Technologies
JavaScript:
  • Advanced JavaScript concepts (DOM manipulation, AJAX)
  • JavaScript libraries (jQuery)
  • Introduction to front-end frameworks (React, Angular, Vue.js – optional)
Front-end Development Best Practices:
  • User interface design principles
  • Responsive web design
Module 8: Deployment
Deploying Web Applications:
  • Local development servers
  • Cloud platforms (AWS, Google Cloud, Azure)
  • Containerization (Docker)
  • Continuous Integration/Continuous Deployment (CI/CD)
Module 9: Best Practices
Web Development Best Practices:
  • Security considerations (OWASP Top 10)
  • Code quality and maintainability
  • Testing and debugging
  • Scalability and performance

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course
On Average Students Rated The Python Web Development Course 4.90/5.0
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