How long does it typically take to complete a Python Backend Training program?

On average, our Python Backend Training program takes up to 30 days, depending on the intensity and depth of the curriculum.

What topics are covered in a Python Backend Training program?

The Python Backend Training program covers core Python programming, web frameworks (e.g., Django, Flask), database management, RESTful APIs, and deployment techniques.

What career opportunities are available after completing a Python Backend Training program?

Graduates can pursue roles such as Python Developer, Backend Developer, Software Engineer, API Developer, and Web Developer. Python backend skills are highly sought after in many industries.

Is prior experience in coding necessary to succeed in a Python Backend Training program?

While prior coding experience can be helpful, many Python Backend Training programs are designed to accommodate beginners and provide foundational training in backend programming.

Python + AI
Developer Program

Our Python + AI Developer Program is a comprehensive 4-month hands-on program designed for college students, graduates, and professionals looking to upskill in cutting-edge technologies. Whether you're starting your journey in software development or aiming to enhance your expertise in AI, this course equips you with strong Python programming skills, AI fundamentals, machine learning concepts, and real-world applications. With a blend of theory, practical exercises, and project-based learning, you'll be industry-ready to take on roles in AI-driven software development, automation, and data science.

Suitable For All

Anyone with a passion for coding and a desire to learn can embark on a Python and AI course and transition into a Python + AI developer. This course is suitable for:

A seasoned programmer looking to expand your skill set.
A beginner who is eager to explore the world of coding

Python offers a welcoming entry point. From students and professionals in various industries to career changers and enthusiasts, Python welcomes learners of all backgrounds and levels of expertise. With dedication, perseverance, and the right mentors, anyone can harness the power of Python and embark on the exciting journey of becoming a Python developer.

All our programs include essential add-ons focusing on soft skill development. because technical expertise alone is not enough for success in the corporate world. Our courses focus on developing essential soft skills such as effective communication, teamwork, and leadership. This comprehensive approach ensures you build the right attitude and confidence to thrive in any professional environment.

Professional Development Workshop

Comprehensive soft skills training
Interpersonal skills enhancement sessions
Professionalism and workplace etiquette modules

Communication Mastery Program

Advanced presentation techniques
Team communication strategies and collaboration methods

Placement Assisstance Services

Tailored resume writing workshops
Personal branding and LinkedIn profile optimization guidance
Interview preparations via mock interviews and assessments

Group Dynamics Training

Techniques for active and impactful participation
Strategies for effective communication and teamwork

Facilitation Skills

Gain proficiency in corporate tools like Jira, Confluence, Retrium, Mural etc
Leadership skills for effective facilitation
Facilitation techniques for fostering productive discuss

Week 1: Introduction to Python

Programming concepts
Python and its features
Setting up the development environment
Python syntax and structure
Variables and data types
Input and output operations

Week 3: Functions & Data Structures

Accessing elements in lists and tuples
List and tuple methods
Dictionaries and sets
Accessing elements, methods and operations in dictionaries

Week 5: Introduction to AI & Machine Learning

Understanding AI, Machine Learning (ML), and Deep Learning
Supervised vs Unsupervised Learning
Setting up AI development environments (Jupyter, Google Colab, TensorFlow, PyTorch)
Python libraries for AI: NumPy, Pandas, Matplotlib, Scikit-Learn
Data preprocessing & feature engineering

Week 7: Deep Learning & Neural Networks

Introduction to Artificial Neural Networks (ANN)
Understanding activation functions, forward & backward propagation
Hands-on: Building a simple neural network using TensorFlow/Keras
Introduction to Convolutional Neural Networks (CNN) for image recognition
Hands-on: Implementing an image classifier

Week 9 - 12: Final Project

Applying learned concepts to complete a final project
Use Jira, Confluence tools to manage the tasks
Follow Agile Methodology to incrementally deliver the tasks.
Project presentation and review

Week 2: Control Flow & File Handling

Conditional statements
Loops
Break and continue
Reading from and writing to files
Working with different file formats (text files, CSV files)

Week 4: Introduction to Object-Oriented Programming (OOP) + File Handling

OOP concepts
Classes and objects
Defining classes and creating objects
Exception handling

Week 6: Machine Learning with Python

Building regression and classification models (Linear Regression, Decision Trees, Random Forest, SVM)
Model evaluation: Accuracy, Precision, Recall, F1-Score
Hyperparameter tuning and cross-validation
Hands-on: Building an ML model for real-world datasets

Week 8: AI in Automation & Real-World Applications

NLP (Natural Language Processing) basics: Tokenization, Lemmatization, Sentiment Analysis
Hands-on: Building a chatbot using Python & NLP
AI in software testing: Visual testing, anomaly detection, self-healing automation
Final project: Implementing an AI-driven application (e.g., chatbot, recommendation system, or automated testing suite)

What prerequisites are needed to enroll in a Python Developer program?

Most Python Developer programs require a basic understanding of programming concepts. Familiarity with any programming language and fundamental knowledge of computer science can be beneficial.

How long does it typically take to complete a Python Developer program?

On average, our Python Developer program can take upto 30 days, depending on the intensity and depth of the curriculum.

What topics are covered in a Python Developer program?

A typical Python Developer program covers core Python programming, data structures, algorithms, web development, database management, data science, and machine learning, such as Pandas. B

What career opportunities are available after completing a Python Developer program?

Graduates can pursue various roles such as Python Developer, Software Engineer, Data Analyst, Machine Learning Engineer, and Web Developer. Python skills are highly sought after in many industries.

Is prior experience in coding necessary to succeed in a Python Developer program?

While prior coding experience can be helpful, many Python Developer programs are designed to accommodate beginners and provide foundational training in programming.

What resources are provided during the Python Developer program?

Students typically receive access to a variety of learning materials, including video tutorials, coding exercises, projects, and instructor support.

How does a Python Developer program prepare me for real-world applications?

Programs often include hands-on projects and assignments that mimic real-world scenarios, enabling students to apply their knowledge in practical settings and build a portfolio of work.

What kind of support can I expect during and after the Python Developer program?

Our programs offer continuous support through mentors, discussion forums, and career services. After completion, alumni networks and job placement assistance are available to help with your career advancement.

A student who has completed a Python + AI Developer program opens up a wide range of career possibilities in various industries. Some potential career paths and entry level salary in Indian job market are:

Software Developer/Engineer

₹3 to ₹6 lakhs per annum

Web Developer

₹3 to ₹5 lakhs per annum

Data Analyst/Scientist

₹4 to ₹7 lakhs per annum

AI Chatbot Developer

₹5 to ₹8 lakhs per annum

AI/ML Developer

₹4 to ₹7 lakhs per annum

DevOps Engineer

₹4 to ₹7 lakhs per annum