WeGuideTechnologies provides Python with AI training in Bangalore, designed to take students from basic to advanced AI concepts. Our training is delivered by industry experts with real-world experience, ensuring hands-on and practical learning.
We offer professional Python with AI training in Marathahalli, Bangalore, covering core Python, Machine Learning, Artificial Intelligence, and real-time project implementation. With 12+ years of experienced expert-level professionals, we ensure students gain strong industry-ready skills.
Our Best Python with AI Training in Bangalore focuses on practical exposure, real-time use cases, and career-oriented learning to help students succeed in today’s AI-driven market.
Python with AI Course Details :
Python with Artificial Intelligence (AI) is one of the most in-demand skill combinations in today’s technology-driven world. Python’s simplicity, flexibility, and powerful ecosystem make it the preferred language for building intelligent systems, data-driven applications, and automation solutions.
At WeGuideTechnologies, our Python with AI training in Bangalore is designed to help learners master Python programming while gaining hands-on experience with Artificial Intelligence and Machine Learning concepts. The course starts from Python fundamentals and gradually advances to AI-driven libraries, data analysis, and real-world applications.
This training is delivered by industry experts with 12+ years of experience, focusing on practical implementation, industry use cases, and project-based learning. Whether you are a student, fresher, or working professional, this course equips you with the skills required to build AI-powered solutions and succeed in the modern tech industry.
Module 1: Python Programming Fundamentals
Objective: Build a strong Python foundation
- Introduction to Python & AI ecosystem
- Installing Python, Anaconda, VS Code / Jupyter
- Python syntax and coding standards
- Variables, data types, and operators
- Conditional statements (if, else, elif)
- Loops (for, while)
- Functions and lambda expressions
- Error handling (try–except)
- Working with files (CSV, TXT, JSON)
Hands-on: Simple programs, mini challenges
Module 2: Python Data Structures
Objective: Learn efficient data handling
- Lists, tuples, sets, dictionaries
- List and dictionary comprehensions
- String manipulation
- Sorting and searching techniques
- Memory optimization basics
Hands-on: Data processing tasks
Module 3: Object-Oriented Programming (OOP) in Python
Objective: Write scalable, reusable code
- Classes and objects
- Constructors and destructors
- Inheritance and polymorphism
- Encapsulation and abstraction
- Method overloading and overriding
Hands-on: Real-world OOP examples
Module 4: Python Libraries for AI & Data Science
Objective: Master industry-standard libraries
- NumPy – numerical computing
- Pandas – data manipulation
- Matplotlib & Seaborn – data visualization
- SciPy – scientific computing
- Scikit-learn – ML foundation
Hands-on: Data analysis projects