Loading...
+91 7222970731 info@careerinspire.in
New Batch Starting — Limited Seats

Best Machine Learning & AI Course in Indore [2026]
Python, Deep Learning & Generative AI with 100% Placement

Last Updated: May 2026 Career Inspire — Indore's Top IT Institute
4.9 (1,200+ student reviews) 600+ Students Placed

Career Inspire's Machine Learning & AI course in Indore is built for those who want to go beyond basic analytics and build intelligent systems. From classical ML algorithms to Deep Learning, NLP, Computer Vision, and the latest Generative AI models, this program equips you with the skills driving the fastest-growing salaries in the tech industry. Every module is grounded in Python and real-world projects — no fluff, no theory overload.

Machine Learning & AI Course in Indore — Career Inspire
Course Highlights
Enquire for current fee & EMI options
  • Instructor Industry Experts
  • Duration 6 – 9 Months
  • Mode Offline + Online
  • Projects 12+ Live Capstones
  • GenAI LLMs + LangChain
  • Internship Yes (Mandatory)
  • Placement 100% Assistance
  • Batch Size Max 18 Students
  • Certificate Industry Recognised
Call us: +91 72229 70731
What is Machine Learning & AI? Machine Learning enables computers to learn from data without being explicitly programmed. Artificial Intelligence is the broader discipline of building systems that simulate human reasoning. Together, they power everything from recommendation engines and fraud detection to self-driving cars and large language models like ChatGPT.

Machine Learning & AI Course in Indore — Program Overview

Career Inspire's ML & AI training in Indore is the most advanced programme in our portfolio. It takes students from Python fundamentals through classical ML algorithms, Deep Learning (CNN, RNN, LSTM), Natural Language Processing, Computer Vision, and into Generative AI with LangChain and fine-tuning techniques. Every concept is implemented in code immediately — you will have 12+ working project demos in your portfolio by the time you graduate.

Why Choose Career Inspire for Machine Learning & AI?

  • Advanced Yet Accessible: We start with Python from scratch — prior programming experience is useful but not required for most backgrounds.
  • Production-Ready Focus: Learn model deployment with Flask/FastAPI and MLOps basics so your models actually run in the real world.
  • Generative AI Integrated: The latest curriculum includes fine-tuning LLMs, RAG pipelines, and building AI assistants with LangChain — skills most ML courses in India still don't teach.
  • 12+ Live Capstones: Projects span healthcare prediction, stock forecasting, sentiment analysis, image recognition, and building conversational AI products.
  • Dedicated Placement Cell: Resume reviews, mock ML interviews (including coding rounds), and referrals to product-based companies and AI startups.

Career Opportunities & Expected Salaries

ML and AI engineers command some of the highest salaries in the Indian tech sector. Benchmarks for 2026:

Job Role Fresher (0–1 yr) Experienced (3+ yrs)
Machine Learning Engineer ₹6.0 – ₹9.0 LPA ₹14.0 – ₹25.0 LPA
AI / Deep Learning Engineer ₹7.0 – ₹10.0 LPA ₹16.0 – ₹30.0 LPA
NLP / Conversational AI Engineer ₹6.5 – ₹9.0 LPA ₹14.0 – ₹24.0 LPA
Computer Vision Engineer ₹7.0 – ₹10.0 LPA ₹15.0 – ₹28.0 LPA
GenAI / LLM Engineer ₹8.0 – ₹12.0 LPA ₹18.0 – ₹35.0 LPA

Career Inspire vs. Other ML & AI Institutes in Indore

Parameter Career Inspire Typical Institutes
Generative AI Coverage LLMs, RAG, LangChain, Fine-tuning Not covered or superficial
Model Deployment Flask, FastAPI, MLOps basics Training only, no deployment
Live Projects 12+ real-domain capstones 2–3 toy datasets
Batch Size Max 18 students 40 – 80 students
Interview Prep ML coding rounds + case studies Theory Q&A only

16+ Core Skills You Will Master

  • Python — Advanced OOP & Functional Programming
  • NumPy, Pandas, Matplotlib, Seaborn
  • Supervised Learning — Regression, Classification, Ensembles
  • Unsupervised Learning — Clustering, Dimensionality Reduction
  • Neural Networks — ANN, CNN, RNN, LSTM
  • TensorFlow & Keras for Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision with OpenCV & PyTorch
  • Generative AI — GPT, Diffusion Models
  • Prompt Engineering & LangChain
  • RAG (Retrieval-Augmented Generation)
  • Time Series Forecasting — ARIMA, Prophet, LSTM
  • Model Evaluation — Cross-Validation, ROC, AUC
  • Feature Engineering & Hyperparameter Tuning
  • Model Deployment — Flask, FastAPI
  • MLOps Basics — MLflow, Model Versioning

Frequently Asked Questions

Basic mathematics (12th-level algebra and statistics) is sufficient. The program covers all the statistical and mathematical concepts required — linear algebra, probability, and calculus foundations — as part of the curriculum before applying them to ML algorithms.

The Data Science course covers the complete data lifecycle — analytics, SQL, visualisation, ML, and AI. The ML & AI course goes deeper into algorithms, model architecture, deployment, and Generative AI, with more projects in Deep Learning, NLP, and Computer Vision. It is better suited for those targeting engineering roles at product companies.

Yes. Model deployment using Flask and FastAPI is a dedicated module. You will build REST APIs that serve your ML models and understand basic MLOps practices like experiment tracking with MLflow and model versioning.

Yes — it is one of the flagship modules. We cover the architecture of Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning open-source LLMs, and building AI assistants with LangChain. This is updated every batch to stay current with the rapidly evolving GenAI space.

Projects include: customer churn prediction, stock price forecasting, sentiment analysis on social data, image classification (CNN), object detection, NLP chatbot, recommendation engine, fraud detection, demand forecasting, and a full Generative AI assistant built with LangChain and a vector database.

Our graduates have been placed at service companies (TCS, Infosys, Wipro), product-based firms, fintech startups, healthcare AI companies, and e-commerce platforms in Indore, Pune, Bangalore, Hyderabad, and beyond.

Yes. Live online batches are available for outstation students and working professionals. All sessions are recorded for revision. Offline classes at our Bhawarkua campus in Indore give you access to lab systems and direct face time with instructors.

The fee is competitive for the depth of training offered, with flexible EMI options. Call +91 72229 70731 or fill the enquiry form for the current fee structure and any scholarship availability.

18+ Years • 600+ Placed • 4.9 ★ from 1,200+ Reviews

Join the Next Batch

2026 AI-Integrated Curriculum

  • Python OOP — Classes, Inheritance, Decorators
  • NumPy — Vectorised Operations, Broadcasting, Linear Algebra
  • Pandas — Advanced Data Manipulation & Pipelines
  • Matplotlib & Seaborn for ML Visualisation
  • Jupyter Notebooks & Google Colab Setup

  • Descriptive Statistics, Probability Distributions
  • Hypothesis Testing, Confidence Intervals
  • Linear Algebra Essentials — Matrices, Eigenvectors
  • Calculus Intuition — Gradients & Backpropagation

  • Handling Missing Values, Outliers & Imbalanced Data
  • Feature Scaling — Min-Max, Standardisation, Robust
  • Encoding — One-Hot, Label, Target, Binary
  • Feature Selection — RFE, Mutual Information, VIF
  • Scikit-learn Pipelines & ColumnTransformer

  • Linear & Polynomial Regression
  • Logistic Regression, Decision Trees, Random Forest
  • Support Vector Machines (SVM)
  • KNN, Naive Bayes
  • Gradient Boosting — XGBoost, LightGBM, CatBoost
  • Model Evaluation — Accuracy, Precision, Recall, F1, AUC-ROC

  • K-Means, Hierarchical & DBSCAN Clustering
  • Gaussian Mixture Models
  • PCA, t-SNE, UMAP for Dimensionality Reduction
  • Association Rules — Apriori & FP-Growth
  • Anomaly Detection Techniques

  • Artificial Neural Network Architecture & Forward Pass
  • Backpropagation, Gradient Descent Variants
  • TensorFlow & Keras — Building & Training ANNs
  • Regularisation — Dropout, Batch Normalisation, L1/L2
  • Hyperparameter Tuning — Learning Rate, Epochs, Batch Size

  • CNN Architecture — Conv Layers, Pooling, Flatten
  • Image Classification with TensorFlow/PyTorch
  • Transfer Learning — ResNet, VGG, EfficientNet
  • Object Detection — YOLO Basics
  • OpenCV for Image Pre-processing

  • Text Pre-processing — Tokenisation, Stemming, Lemmatisation
  • TF-IDF, Word2Vec, GloVe, FastText
  • Sentiment Analysis & Topic Modelling (LDA)
  • Sequence Models — RNN, LSTM, GRU
  • Transformer Architecture & BERT Basics
  • Building Chatbots with NLTK & spaCy

  • Time Series Decomposition — Trend, Seasonality, Residual
  • ARIMA, SARIMA, SARIMAX Models
  • Facebook Prophet for Business Forecasting
  • LSTM for Sequential Time Series Prediction
  • Project: Stock Price & Sales Demand Forecasting

  • LLM Architecture — GPT, Gemini, Claude, Mistral
  • Prompt Engineering — Zero-Shot, Few-Shot, Chain-of-Thought
  • Retrieval-Augmented Generation (RAG) with Vector Databases
  • Fine-Tuning Open-Source LLMs (LoRA, QLoRA)
  • Building AI Assistants with LangChain & LlamaIndex
  • Image Generation — Stable Diffusion Basics

  • Building ML APIs with Flask & FastAPI
  • Containerisation Basics with Docker
  • MLflow for Experiment Tracking & Model Registry
  • Deploying to Cloud — AWS SageMaker / GCP Vertex AI Basics
  • CI/CD for ML Projects

  • Customer Churn Prediction (End-to-End with Deployment)
  • Image Classification Web App (CNN + Flask)
  • NLP Sentiment Dashboard
  • Demand Forecasting System (LSTM + Prophet)
  • RAG-based Document Q&A Assistant (LangChain)
  • Full ML Portfolio Presentation & GitHub Setup

What Our Students Say

"The depth of the curriculum is unlike any other institute I visited in Indore. By Module 4 I was building and evaluating ensemble models on real datasets. The trainer's industry experience shows in every session — not just textbook explanations."

Vivek Rathore
ML Engineer, Persistent Systems — Pune

"The GenAI module with LangChain and RAG was genuinely advanced. I've seen similar content only in expensive US-based online courses. Getting this as part of a local Indore programme at this price is remarkable value."

Nidhi Agarwal
AI Engineer, Fractal Analytics — Bangalore

"I came from a mechanical engineering background. Six months later I deployed my first ML model as a Flask API and had it reviewed during a job interview. That portfolio project got me the offer at an analytics startup."

Sumit Yadav
Data Scientist, Zomato Tech — Gurugram

"Computer Vision was my primary interest and Career Inspire delivered beyond expectations. We built a real-time object detection demo using YOLO — something I've been trying to learn independently for a year. The structured guidance made all the difference."

Riya Deshmukh
Computer Vision Engineer, Bosch India — Indore

"The placement team here is genuinely committed. They didn't just share my resume — they prepped me for the specific company's ML interview format, including a coding round in Python. Cracked the interview in my second attempt after their mock rounds."

Ankit Gupta
ML Engineer, Mu Sigma — Bangalore

"What I appreciated most was that the curriculum keeps getting updated. Midway through the batch they added a session on the latest open-source LLMs — that's something no recorded online course can do. The live, instructor-led format here is irreplaceable."

Pooja Tiwari
NLP Engineer, PhonePe — Bangalore
Explore More

Trending Courses

Data Science & AI

The complete data lifecycle — analytics, ML, AI and Generative AI in one comprehensive programme.

Data Analytics

Excel, SQL, Python, Power BI and Tableau — the complete analytics toolkit for business intelligence roles.

Full Stack Development

Build complete web applications with HTML, CSS, React, and Node.js — front-end to back-end.

Ready to build intelligent systems? Join Career Inspire's ML & AI programme and turn data into decisions.