Python for AI
Free Online Training
Free Online Training |
A Career Transition program on Python for AI by Big Classes!
Batch Details
- 4.5/5 Rating
- 1274 Learners
Course Highlights
- Comprehensive Curriculum: Covers essential topics in Python and designed to build a strong foundational understanding.
- Hands-on Projects: Offers practical, project-based learning to help students apply theory to real-world scenarios.
- Expert Mentorship: Provides personalized guidance from industry professionals and Python experts, ensuring a deeper understanding of concepts.
- Job-Ready Skills: Focuses on skills and tools needed to excel in the AI industry, with placement assistance and career support.
- Cutting-Edge Tools: Teaches the latest AI frameworks and technologies such as TensorFlow, PyTorch, and NLP libraries.
- Flexible Learning: Offers both live sessions and recorded lectures to accommodate diverse learning schedules.
- Industry Collaboration: Partnerships with leading tech companies for job placements and internships, ensuring exposure to top-tier opportunities.
- Certifications: Awarding certificates that validate student's proficiency in Python for AI, boosting employability.
Course Overview
Artificial Intelligence (AI) is transforming industries, and Python has become the go-to programming language for AI development. The Python for AI course by BigClasses is designed to equip learners with the essential skills needed to build AI-powered applications using Python. Whether you’re a beginner or a professional looking to upskill, this course provides a structured learning path to master AI concepts with hands-on practice.
Course Curriculum
Day 1: Introduction to Python
- Why Python? Advantages & Use Cases
- Installing Python & IDEs (Jupyter Notebook, VS Code)
- Writing & Executing Python Code
- Python Syntax & Indentation
- Variables & Data Types (int, float, str, bool, None)
- Type Checking & Type Conversion (type(), int(), str())
- Input & Output (input(), print())
Day 2: Operators & Control Flow
Operators in Python:
Arithmetic (+, -, , /, %, //, *)
Comparison (>, <, ==, !=, >=, <=)
Logical (and, or, not)
Bitwise (&, |, ^, ~, <<, >>)
Conditional Statements: if, elif, else
Loops: for, while, break, continue, pass
Day 3: Functions & Lambda Functions
- Defining & Calling Functions
- Function Parameters & Return Values
- Default & Keyword Arguments
- *args & **kwargs
- Lambda Functions (Anonymous Functions)
- Recursion in Python
- Python’s Built-in Functions (map(), filter(), reduce())
Day 4: Lists & Tuples
Lists in Python
Creating, Indexing & Slicing
List Methods (append(), pop(), remove(), sort(), reverse())
List Comprehension
Tuples in Python
Creating & Accessing Tuples
Tuple Packing & Unpacking
Tuple Methods (count(), index())
Day 5: Sets & Dictionaries
Sets in Python
Creating Sets
Adding & Removing Elements (add(), remove(), discard())
Set Operations (union(), intersection(), difference())
Dictionaries in Python
Key-Value Pairs
Accessing, Adding, and Updating Values
Dictionary Methods (get(), pop(), items(), keys())
Dictionary Comprehension
Day 6: File Handling & Exception Handling
Reading & Writing Files
Opening Files (open(), with open())
File Modes (r, w, a, r+)
Reading (read(), readline(), readlines())
Writing (write(), writelines())
Error Handling in Python
try, except, finally, raise
Handling Multiple Exceptions
Using else in Exception Handling
Day 7: Object-Oriented Programming (OOP) in Python
- Introduction to OOP: Why OOP?
- Classes & Objects
- Instance Variables & Methods
- Class Variables & Methods (@classmethod, @staticmethod)
- Encapsulation & Data Hiding (, _)
- Inheritance (Single, Multiple, Multilevel)
- Polymorphism & Method Overriding
Day 8: NumPy – Numerical Computing in Python
- Why NumPy? Importance in AI & Data Science
- Creating NumPy Arrays (array(), arange(), linspace())
- Array Indexing & Slicing
- Array Operations & Broadcasting
- Reshaping & Resizing Arrays
- Mathematical & Statistical Functions in NumPy (mean(), std(), sum())
Day 9: Pandas – Data Handling & Manipulation
- Introduction to Pandas
- Series vs DataFrame
- Reading & Writing Data (CSV, Excel, JSON)
- DataFrame Operations: Filtering, Sorting, Aggregation
- Handling Missing Data (dropna(), fillna())
- Merging & Concatenating DataFrames
Day 10: Data Visualization with Matplotlib
- Introduction to Data Visualization
- Matplotlib Basics:
- Line Plot (plot())
- Bar Chart (bar())
- Scatter Plot (scatter())
- Histogram (hist())
- Customizing Plots (Labels, Titles, Legends, Colors)
- Multiple Plots in One Figure
- Saving Figures as Images (savefig())
Free Career Counselling
We are Happy to help you 24/7
Our Trainer
- Mr. Varun
- AI Engineer
- 4.5+ Years of Experience of Industry Experience
- About the Tutor
- Varun Thati is an AI and Software Engineer with 4.5+ years of experience specializing in Machine Learning, Generative AI, and Multi-Agent Systems. He is proficient in Python, NLP, Deep Learning, and AI-driven automation, with expertise in frameworks like TensorFlow, PyTorch, and FastAPI. Varun has developed and deployed AI-powered automation tools, customer support solutions, and predictive analytics systems using LLMs such as GPT and Gemini. He has strong experience in building scalable AI solutions, optimizing database performance, and developing robust APIs for AI integration. Passionate about Agentic AI, he continues to explore cutting-edge AI advancements to optimize workflows and drive innovation.
Python for AI Certification
The Python for AI program offered by Big Classes is crafted to empower individuals with essential skills in Python programming. This certification ensures a comprehensive understanding of Python fundamentals and their practical implementation in real-world scenarios.
Our Python for AI Certification not only validates your expertise in programming but also equips you with specialized skills in developing AI-powered solutions using tools like TensorFlow, Scikit-learn, and Pandas. With this globally recognized certification, you not only enhance your career prospects but also gain the confidence to solve complex AI challenges responsibly and ethically.
Placement Assistance
Comprehensive Job Assistance
- Mastering the course
- Hackathons and Mock-Interviews with SMEs
- Quizzes and Assignments
- Portfolio Building with SMEs Assistance
- Resume Review
Student Testimonials
The Python for AI course at BigClasses was exactly what I needed! The hands-on projects and real-world applications helped me gain confidence in AI development. Highly recommended for beginners and professionals alike.
As a software engineer, I wanted to enhance my AI skills, and this course provided everything from basics to advanced topics. The instructors were knowledgeable, and the live sessions were interactive. Thank you, BigClasses.
I had no prior coding experience, but the structured approach of BigClasses made Python and AI easy to understand. The trainers were patient, and the assignments reinforced my learning. I feel job-ready now.
BigClasses' Python for AI course is one of the best! The practical exposure to AI algorithms and machine learning concepts helped me land a job in data science. The support team was also very helpful throughout the journey.
Course FAQs
Who can enroll in the Python for AI course?
Anyone interested in AI and machine learning can enroll, whether you’re a beginner, a student, or a working professional. A basic understanding of programming is helpful but not mandatory, as the course covers Python fundamentals.
What topics are covered in this course?
The course includes Python basics, data handling with libraries like NumPy and Pandas, AI and machine learning concepts, neural networks, and hands-on projects to apply your knowledge. It is designed to give a complete understanding of AI with Python.
Is prior programming experience required?
No, prior experience is not necessary. The course starts with Python basics before moving on to AI-related topics. Even if you have never coded before, the structured approach ensures you can follow along and learn effectively.
Will there be live sessions or recorded videos?
The course offers both live interactive sessions and recorded videos. Live classes allow students to ask questions and get instant feedback, while recorded sessions help with self-paced learning.
What kind of projects will I work on?
Projects include real-world applications like predictive modeling, image recognition, chatbot development, and sentiment analysis. These projects help reinforce learning and provide practical exposure to AI techniques.
Do I get a certificate after completing the course?
Yes, students receive a certificate upon successful completion of the course. This certificate validates your skills and can be added to your resume or LinkedIn profile to enhance job opportunities.
How will this course help in my career?
Learning Python for AI opens doors to careers in data science, machine learning, and AI development. Many companies seek professionals with AI expertise, and this course provides the necessary skills to enter these fields confidently.
What support is available if I have doubts?
Dedicated instructors and a support team are available to clarify doubts. There are also Q&A sessions, discussion forums, and a community of learners to interact with.
How do I enroll, and what are the payment options?
Enrollment can be done through the BigClasses website. Various payment options, including credit/debit cards, UPI, and EMI plans, are available to make the process convenient for students.
