Build Strong Python for AI and Machine Learning Skills Through Practical Training
Learn to work confidently with Python for AI/ML through structured, hands-on training covering Python fundamentals, Pandas, NumPy, Natural Language Processing, and PyTorch. Apply your learning through real-world labs and case studies while developing practical, production-ready AI/ML skills aligned with workplace requirements.
Real time industry trainers
Certificate on completion
Classroom + online available
Flexible batch timings
Build AI/ML Skills That Stay Relevant Across Industries
Python with AI/ML isn't tied to one industry or one type of company. Healthcare, retail, finance, hospitality, and e-commerce companies all use Python-based AI to classify data, forecast demand, and understand customer sentiment, which means the skills you build here transfer across sectors, not just one job market. This course is structured around fast, practical Python coding followed by real AI/ML libraries and hands-on projects, so what you learn maps to what AI/ML engineers actually build day to day.
Runs across every industry
Healthcare, retail, hospitality, and e-commerce companies all use Python-based AI/ML for forecasting, classification, and customer insights, so your skills aren't locked to one sector.
Goes from Python fundamentals to real AI/ML projects
This course is structured to help you code in Python and get familiar with fast coding, then builds up through Pandas, NumPy, NLP, and PyTorch into real hands-on projects like chatbots, image classification, and forecasting models.
Enterprise recognized skillset
Used by global enterprises and Indian conglomerates alike, making the skill portable across company size and geography.
Salary data, sourced
Fresher entry around ₹4 to 6.5 LPA, moving to ₹8 to 14 LPA within 1 to 2 years and ₹15 to 24 LPA with 2 to 4 years of experience.
What you'll work with
Every technology and framework is selected to help you build practical Python and AI/ML skills aligned with real-world industry requirements.
A Practical Curriculum Designed Around Real AI/ML Development Workflows
This Python with AI/ML course in Bangalore covers everything from core Python fundamentals to Pandas, NumPy, NLP, and PyTorch, structured across 3 progressive modules with real hands-on projects.
Python Basics
- Introduction to Python: syntax, comments, variables, data types, List, Set, Tuples, Dict
- Setting up Visual Studio Code and Notebooks
- Functions, dates, if-else conditions, user input, and casting
- Loops
- JSON, regular expressions, and try-except blocks for exception handling
- File handling: CSV, Excel, and Word documents
- Python package manager (pip installation) and Python virtual environments
- String and string formatting
- Classes and objects, methods and properties
- Built-in functions
Python Intermediate Debugging techniques
- Zip and unzip
- For/else
- Comprehensions
- Function caching
- Arguments and keyword arguments (*args and **kwargs)
- Map, Filter, and Reduce
- Global and return
- Decorators
- Set data structures
- Object introspection
- Lambdas and one-liners
- Context managers
- Generators
- Ternary operators
- Enumerate
Python Advanced, AI/ML
- Pandas: Data structures (Series, DataFrame, Index)
- Reading data files (CSV, Excel)
- Indexing and selection
- Data cleaning
- Sorting and ranking
- Merging, joining, and concatenation
- Visualization
- NumPy: Array creation
- Array operations
- Indexing, slicing, and iteration
- Reshaping and manipulation
- Linear algebra
- Natural Language Processing (NLP): Text pre-processing
- Noise removal in text
- Lemmatization and stemming
- Named Entity Recognition (NER)
- Text classification
- Text matching
- Phonetic string matching
- Flexible string matching
- Tokens
- Language translation
- Python Torch (PyTorch): Tensors
- Datasets and data loaders
- Transforms
- Building a model
- Exploring and visualizing data to gain insights
- Preparing data for machine learning algorithms
- Supervised ML
- Unsupervised ML
- Reinforcement learning
- Vision and multimodal transformers
- Dimensionality reduction
- Deep computer vision using Convolutional Neural Networks (CNN)
- Tokenization
- Embedding creation and types of embeddings
- Tiktoken
- Chatbot creation: building a user-friendly chatbot using custom data, deployed via web APIs
- Netflix customer review classification: classifying customer data using labelled data for score calculation
- Language detection and translation for data cleaning
- Image classification: using neural networks to classify images for processing
- Forecasting model creation for prediction: applied to hospital data, food/restaurant data, and sales data
Who Should Join This Python with AI/ML Course

Choose a Batch That Fits Your Schedule
This Python with AI/ML training in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands-on lab exercises and real projects.
Ideal for freshers and full time learners.
- 2 to 3 hrs/day · Mon to Fri
- Morning and evening slots
- 8 to 10 weeks total
- Max 20 students
Best suited for working professionals.
- 3 to 4 hrs/session · Sat to Sun
- No clash with office hours
- 10 to 12 weekends total
- Max 20 students
Gain Practical Insights From Industry-Experienced Mentors
MNP's Python with AI/ML trainers bring a minimum of 5 to 10 years of hands-on expertise in Python development and applied AI/ML, with in-depth subject knowledge and real project implementation experience. Every session is built around real coding and model-building scenarios and the kind of questions that come up in AI/ML developer interviews.
Python with AI/ML Lead Consultant10+ years in Python development and applied machine learning
NLP and Data Processing SpecialistExpert in Pandas, NumPy, and Natural Language Processing techniques like tokenization and NER
PyTorch and Deep Learning ExpertSpecializes in PyTorch, CNNs, transformers, and building deployable AI models
Turn Your Python with AI/ML Skills Into Career Opportunities
Our Python with AI/ML training in Bangalore with placement support includes:
Resume building with AI/ML developer specific templates
Mock technical interviews with real Python and AI/ML interview questions
LinkedIn profile optimization
Direct referrals to hiring partners actively seeking Python/AI-ML professionals
Weekly job notifications for AI/ML and Python developer roles in Bangalore
Offer letter and salary negotiation guidance
What Our Python with AI/ML Students Say
These are real students who trained at MNP Technologies and went on to secure AI/ML and Python developer roles across Bangalore.
Frequently Asked Questions
What is Python with AI/ML?

Ans: Python with AI/ML is a training track that builds your Python programming skills from the ground up, then applies them to Artificial Intelligence and Machine Learning using libraries like Pandas, NumPy, and PyTorch, along with Natural Language Processing techniques.
Are there any prerequisites to join this Python with AI/ML course?

Ans: There are no strict prerequisites. The course starts from Python basics: syntax, variables, data types, and loops, before progressing into intermediate Python and then AI/ML-specific libraries, so complete beginners can follow along.
Do I need prior programming experience to learn Python for AI/ML?

Ans: No, prior programming experience isn't required. Module 1 covers Python fundamentals from scratch, including setup in Visual Studio Code, functions, loops, and file handling, before moving into intermediate and advanced AI/ML topics.
What is the difference between this course and your standalone Data Science with Python course?

Ans: This Python with AI/ML course goes deep into core and intermediate Python programming first (decorators, generators, comprehensions, context managers), then applies it directly to AI/ML libraries like PyTorch and NLP tools. Our Data Science with Python course emphasizes the broader data analysis workflow, statistics, SQL, and business intelligence, alongside machine learning. Both are valuable depending on whether you want a strong programming foundation (this course) or a broader analytics foundation (Data Science with Python).
What kind of job roles can I apply for after this course?

Ans: Graduates typically enter the market as Python Developers, AI/ML Engineers, NLP Engineers, and Junior Data Scientists.
Will I build real AI/ML projects during this course?

Ans: Yes. Practical mastery requires hands-on projects including chatbot creation using custom data and web APIs, Netflix customer review classification, language detection and translation, image classification using neural networks, and forecasting models built on hospital, restaurant, and sales data.
What is the starting salary a fresher can expect after this course?

Ans: An entry level Python/AI-ML Developer can expect a starting annual package ranging from ₹4 Lakhs to ₹6.5 Lakhs per annum (LPA), growing quickly with hands-on project experience.
What is the duration of the Python with AI/ML program at MNP Technologies?

Ans: Given the breadth of this curriculum, covering Python fundamentals through Pandas, NumPy, NLP, and PyTorch with real projects, the program runs longer than our shorter, single-topic courses. Exact duration depends on batch type and pace, confirmed at the time of enrollment.
Is there Python with AI/ML training in Marathahalli?

Ans: Yes, MNP Technologies conducts classroom Python with AI/ML training in Marathahalli, Bangalore, alongside live online Python with AI/ML training available across India, both capped at a maximum of 20 students.

Ready to Build Your Career with Python & AI/ML?
Choose from weekday, weekend, and live online batches with practical training in Marathahalli, Bangalore, or from anywhere in India. Book a free demo to explore the right learning path for your career goals.
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