Looking for the best AI and Machine Learning Course in Indore? CyberGrow Programming and Computer Training Institute β€” rated 4.9β˜… by 282+ students β€” offers a comprehensive, 100% practical AI & ML training programme with Python, TensorFlow, NLP, and Computer Vision. With small batches of just 6–7 students, Google-certified trainers, and 250+ placement success stories, CyberGrow is Indore's most trusted AI institute. Book 3 free demo classes β†’

πŸŽ“ New Batch Starting ⭐ 4.9 Rating Β· 282 Reviews

Best AI & Machine Learning Course in Indore

Master Python, TensorFlow, Scikit-learn, NLP & Computer Vision with live projects, small batches of 6–7 students, and dedicated placement support β€” all at an affordable fee at CyberGrow Indore.

1000+
Students Trained
250+
Placements
4.9β˜…
Google Rating
Est. 2018
8 Yrs Experience
AI and Machine Learning Course in Indore β€” CyberGrow Institute AI & Machine Learning Course Python Β· TensorFlow Β· NLP Β· Computer Vision CyberGrow Institute, Indore πŸ’» πŸ“Š 🧠 πŸ€–

πŸ“Έ Replace with real classroom photo for better SEO

πŸ›  Technologies You'll Master

🐍Python
πŸ”’NumPy
🐼Pandas
πŸ“ŠMatplotlib
πŸ€–Scikit-learn
🧠TensorFlow
πŸ”₯Keras
πŸ’¬NLP
πŸ‘οΈOpenCV
πŸ—„οΈMySQL
πŸ“ˆPower BI
πŸ“‹Excel
πŸ… Industry Certificate πŸ’Ό Placement Support πŸ†“ 3 Free Demos
Why CyberGrow

Why Choose Our AI & ML Training in Indore?

CyberGrow goes beyond slides and theory β€” you graduate as a job-ready AI practitioner with a real project portfolio and placement support.

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100% Practical, Project-Based Training

Every concept is reinforced with hands-on labs, real datasets, and end-to-end industry-grade projects. You build a strong portfolio before graduation.

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Small Batches β€” Only 6 to 7 Students

Intimate class sizes guarantee personal attention from the trainer, faster doubt resolution, and a learning pace tailored individually to every student.

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Google-Certified, Industry-Experienced Trainers

Learn from trainers certified by global leaders like Google, with real-world experience in AI and software development β€” not just textbook instructors.

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Affordable Course Fee

Premium AI training without premium pricing. CyberGrow believes high-quality education should be accessible to every student in Indore.

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Free Study Material & Notes

Get comprehensive digital notes, curated datasets, cheat sheets, and practice exercises at absolutely no extra cost throughout the course.

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Industry-Recognised Certification

Earn a certificate verifiable through CyberGrow's online Certificate Portal β€” trusted and accepted by recruiters at top companies.

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250+ Placements & Dedicated Support

CyberGrow has facilitated 250+ placements. Placement support includes resume reviews, mock interviews, HR guidance, and direct company referrals.

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3 Free Demo Classes β€” Zero Commitment

Attend 3 free demo sessions to experience the teaching quality firsthand β€” no obligations, no pressure, and no fees required to attend.

Who Should Join

Who Is This AI & ML Course For?

This course is designed for anyone who wants to build a career in Artificial Intelligence and Machine Learning β€” regardless of background.

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College Students & Freshers

B.Tech, BCA, BSc, MCA, or any stream β€” start building AI skills early and stand out in campus placements.

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Software Developers

Already coding? Upskill into Machine Learning and Deep Learning to move into high-paying AI engineering roles.

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Data & Analytics Professionals

Move beyond Excel and dashboards β€” learn predictive modelling and ML to become a full Data Scientist.

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Career Switchers

Non-IT background? The course starts from Python basics. Our trainers have guided many career switchers into AI roles successfully.

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Working Professionals

Flexible batch timings including weekend batches allow you to upskill without disrupting your current job.

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Entrepreneurs & Business Owners

Understand AI fundamentals to drive data-driven decisions and implement AI solutions in your own business.

Complete Syllabus

AI & ML Course Curriculum β€” Beginner to Advanced

A structured 9-module path from Python basics to deploying real AI applications. Click any module to explore topics.

01
Python for AI & Data Science
10 Topics Β· Foundation Module
β–Ό
  • Python setup: Anaconda, Jupyter Notebook & VS Code
  • Variables, data types, operators & type casting
  • Control flow: if-else, loops, list comprehensions
  • Functions, lambda expressions & recursion
  • Data structures: Lists, Tuples, Sets, Dictionaries
  • File handling & exception handling
  • OOP: classes, objects, inheritance, polymorphism
  • Regular Expressions for text processing
  • Working with APIs and JSON data
πŸ— Mini Project: Automated Data Cleaner in Python
02
NumPy & Pandas β€” Data Manipulation
9 Topics Β· Core Data Skills
β–Ό
  • NumPy arrays: creation, indexing, slicing, broadcasting
  • Array math, aggregations & random number generation
  • Pandas Series and DataFrame fundamentals
  • Reading/writing CSV, Excel, and SQL data
  • Data cleaning: handling nulls, duplicates, outliers
  • Filtering, sorting, grouping & aggregation
  • Merge, join & concatenation of datasets
  • Exploratory Data Analysis (EDA) techniques
πŸ— Project: E-Commerce Sales EDA & Insights Report
03
Data Visualisation β€” Matplotlib, Seaborn & Power BI
8 Topics Β· Storytelling with Data
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  • Line, bar, scatter, histogram and pie charts in Matplotlib
  • Seaborn: heatmaps, pairplots, violin & box plots
  • Power BI interface and connecting data sources
  • Power Query for data transformation
  • DAX formulas for calculated columns and measures
  • Building interactive business dashboards
  • Publishing and sharing reports on Power BI Service
πŸ— Project: Business Performance Dashboard in Power BI
04
Machine Learning with Scikit-learn
13 Topics Β· Core ML Algorithms
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  • Supervised, unsupervised & reinforcement learning overview
  • Feature engineering, encoding & feature scaling
  • Train-test split, cross-validation & ML pipelines
  • Linear Regression & Logistic Regression
  • Decision Trees & Random Forests
  • Support Vector Machines (SVM)
  • K-Nearest Neighbours (KNN) & Naive Bayes
  • Clustering: K-Means, DBSCAN, Hierarchical
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Hyperparameter tuning with GridSearchCV
  • Saving & loading models with Pickle
πŸ— Project: Customer Churn Prediction ML Model
05
Deep Learning β€” TensorFlow & Keras
10 Topics Β· Neural Networks
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  • Neural Networks, Perceptron & activation functions
  • Forward & backpropagation explained with examples
  • Building ANNs with Keras Sequential API
  • Optimisers: Adam, SGD, RMSprop; loss functions
  • Regularisation: Dropout & Batch Normalisation
  • Convolutional Neural Networks (CNNs) for image tasks
  • Recurrent Neural Networks (RNNs) & LSTM for sequences
  • Transfer Learning with VGG16, ResNet, MobileNet
  • Model deployment with Flask / Streamlit
πŸ— Project: Image Classification with CNN (CIFAR-10)
06
Natural Language Processing (NLP)
8 Topics Β· Text AI
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  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words & TF-IDF vectorisation
  • Word embeddings: Word2Vec, GloVe
  • Sentiment analysis & opinion mining
  • Named Entity Recognition (NER)
  • Text classification pipelines with NLTK & spaCy
  • Introduction to Transformer models & BERT basics
  • Building a simple chatbot with NLP
πŸ— Project: Movie Review Sentiment Analyser
07
Computer Vision with OpenCV
7 Topics Β· Visual AI
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  • Image fundamentals: reading, resizing, colour spaces
  • Image transformations & geometric operations
  • Edge detection: Canny, Sobel operators
  • Face detection with Haar cascades
  • Object detection using YOLO
  • Real-time video processing with OpenCV
πŸ— Project: Real-Time Face Mask Detector
08
SQL & MySQL for AI Data Pipelines
7 Topics Β· Data Management
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  • Relational database concepts & SQL fundamentals
  • CREATE, INSERT, UPDATE, DELETE operations
  • JOINs, GROUP BY and aggregate functions
  • Subqueries and views
  • Python–MySQL integration with PyMySQL / SQLAlchemy
  • Loading ML datasets directly from SQL databases
πŸ— Project: Customer Data Pipeline β€” MySQL to ML Model
09
πŸš€ Capstone β€” End-to-End AI Application
4 Weeks Β· Portfolio-Ready Deliverable
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  • Problem statement selection & real-world data sourcing
  • End-to-end EDA and feature engineering
  • Model building, tuning and evaluation
  • Building a web interface using Streamlit or Flask
  • Cloud deployment on Render / Heroku
  • Final presentation with business insights & recommendations

Capstone Ideas: House Price Predictor Β· Fake News Detector Β· Crop Disease Classifier Β· Customer Lifetime Value Model

Industry Tools

Tools & Technologies Covered

Graduate with hands-on proficiency in every major AI/ML tool used by companies hiring today. All tools covered are industry-standard and free to use.

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NumPy
Numerical computing
🐼
Pandas
Data manipulation
πŸ“Š
Matplotlib
Visualisation
🌊
Seaborn
Statistical plots
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Keras
Neural net API
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NLTK / spaCy
NLP libraries
πŸ—„οΈ
MySQL
SQL databases
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Power BI
BI dashboards
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Jupyter
Notebooks
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Streamlit
ML web apps
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Excel
Spreadsheet analytics
Career Outcomes

High-Demand Job Roles After This Course

The AI job market is expanding rapidly across India. CyberGrow's placement team helps you land roles at top companies. See open roles on Naukri and LinkedIn Jobs.

Machine Learning Engineer
β‚Ή6 – 18 LPA avg.
Data Scientist
β‚Ή7 – 20 LPA avg.
AI / Deep Learning Engineer
β‚Ή8 – 22 LPA avg.
Data Analyst
β‚Ή4 – 12 LPA avg.
NLP Engineer
β‚Ή7 – 18 LPA avg.
Computer Vision Engineer
β‚Ή8 – 20 LPA avg.
Business Intelligence Analyst
β‚Ή5 – 14 LPA avg.

πŸ“Š AI / ML Job Market India 2025–26

β‚Ή8.5 LPA
Average starting salary for ML Engineers in India

Job Growth (2024–2026)+45%
Open AI Roles in India50,000+
CyberGrow Placement Rate250+ placed
Start Your AI Career β†’
Student Reviews

What Our Students Say

Rated 4.9β˜… based on 282 reviews on Justdial. Here's what students who completed our AI & ML course in Indore have to say.

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"The hands-on approach at CyberGrow is unmatched. I built 5 real ML projects during the course and landed a Data Analyst role within 2 months of completing. The small batch size meant I got personal attention every class."

RS
Rahul S.
Data Analyst Β· Placed in Indore
β˜…β˜…β˜…β˜…β˜…

"I had zero coding background. The trainers started from Python basics and took me all the way through TensorFlow and Deep Learning. Now I'm working as a Junior ML Engineer. Truly the best institute for AI course in Indore."

PJ
Priya J.
Junior ML Engineer Β· Placed in Pune
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"Best value AI training in Indore. The capstone project I built β€” a real-time object detector β€” became my most-visited GitHub repo. The placement team at CyberGrow helped me crack 3 interviews back to back!"

AM
Amit M.
Computer Vision Engineer Β· Placed in Bengaluru
Find Us

Visit CyberGrow Institute in Indore

We have 3 branches across Indore and Ratlam. Walk in for a free demo class β€” no appointment needed.

πŸ“ Contact & Address

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CyberGrow β€” Bhawarkua, Indore
2nd Floor, Prem Plaza, 204, Indore – Khandwa Rd, Near ICICI Bank, Bhawarkua, Ashok Nagar, Indore, Madhya Pradesh – 452001
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Phone / WhatsApp
βœ‰οΈ
πŸ•˜
Working Hours
Monday – Saturday  |  9:00 AM – 7:30 PM
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Rating
4.9 / 5 based on 282 verified reviews Β·
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1
Bhawarkua Branch
2nd Floor, Prem Plaza, 204, Indore–Khandwa Rd, Near ICICI Bank, Bhawarkua, Ashok Nagar, Indore – 452001
CyberGrow Institute β€” Bhawarkua, Indore

2nd Floor, Prem Plaza, 204
Indore–Khandwa Rd, Near ICICI Bank
Bhawarkua, Ashok Nagar, Indore – 452001

πŸ—Ί Open in Google Maps
FAQ

Frequently Asked Questions

Everything you need to know before enrolling in our AI & Machine Learning Course in Indore.

What is the duration of the AI & ML course at CyberGrow Indore? β–Ό
The AI & Machine Learning course at CyberGrow is a 4–6 month programme with flexible batch timings. It covers Python, Data Science, Machine Learning, Deep Learning, NLP, and Computer Vision with hands-on projects.
Do I need prior programming experience to join the AI ML course? β–Ό
No prior programming experience is required. The course begins from Python fundamentals and progressively advances to ML, Deep Learning, and real-world AI projects. Freshers and working professionals can both join comfortably.
What is the batch size for the AI & ML course? β–Ό
CyberGrow keeps batches intentionally small β€” only 6 to 7 students per batch β€” ensuring every student receives dedicated personal attention, rapid doubt resolution, and a customised learning pace.
Does CyberGrow Indore provide placement assistance? β–Ό
Yes. CyberGrow has facilitated 250+ student placements. Dedicated placement support includes resume building, mock technical interviews, HR guidance, and direct referrals to partner companies across Indore, Pune, Bengaluru and other cities.
Where is CyberGrow Institute located in Indore? β–Ό
CyberGrow's main Indore branch is at 204, 2nd Floor, Prem Plaza, Khandwa Road, Near ICICI Bank, Bhawarkua, Indore – 452001.
Can I attend a free demo class before enrolling? β–Ό
Absolutely. CyberGrow offers 3 completely free demo classes before you enrol β€” zero obligations, zero fees. Experience the teaching style, classroom environment, and trainer expertise before making any decision.
What certificate will I receive after completing the AI ML course? β–Ό
You will receive an industry-recognised certificate from CyberGrow Institute, verifiable online through our Certificate Verification Portal. This certification is trusted by recruiters across the IT industry.
πŸŽ“ New Batch Starting Soon β€” Limited Seats

Start Your AI & ML Career in Indore Today

Join CyberGrow β€” Indore's most trusted AI & ML institute since 2018. Attend 3 free demo classes, no fees, no commitment. New batches forming now at Bhawarkua

πŸ“ 204, Prem Plaza, Near ICICI Bank, Bhawarkua, Indore – 452001  |  cybergrowindore@gmail.com