AI & Machine Learning Training in Salem

Dev Technology Solutions offers AI & Machine Learning training in Salem, with classroom sessions at our centre in RBT Mall, Meyyanur Byepass Road, Salem, and live online classes. The 16-module syllabus covers Python Programming for AI & ML, Mathematics for Machine Learning, Data Handling with NumPy & Pandas and Exploratory Data Analysis & Visualization, with hands-on practice in every module and real-time project work at the end of the course.

The course suits students, graduates and professionals interested in AI; the course starts with Python and the mathematics you need. It prepares you for roles such as Machine Learning Engineer, AI Developer and Data Scientist. Placement training (resume building, mock interviews and coding tests) is part of the course, and you can book a free demo class before you enrol. For project experience, continue with our internship programs in Salem; related courses include Data Science Training in Salem and Gen AI & Agentic AI Training in Salem.

AI & Machine Learning training course in Salem

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+91-74021-01006

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AI & ML Course Overview

The AI & ML Training Course at Dev Technology Solutions, Salem is designed to help students and professionals build expertise in one of today’s fastest-growing and future-ready technology domains — Artificial Intelligence and Machine Learning. This comprehensive program covers everything from Python programming fundamentals to advanced machine learning and deep learning concepts, enabling learners to create intelligent systems and solve real-world business problems using AI-driven approaches.

This course is carefully structured to support learners of all levels — from beginners with no prior programming experience to professionals looking to transition into AI and Machine Learning roles. Training begins with Python fundamentals, mathematics for AI, statistics, and data handling techniques. Students also gain practical exposure to modern AI tools and platforms such as Jupyter Notebook, TensorFlow, Scikit-learn, Keras, and Google Colab.

As the course progresses, learners dive into the core areas of Artificial Intelligence and Machine Learning such as supervised learning, unsupervised learning, deep learning, natural language processing (NLP), computer vision, predictive analytics, and AI model deployment. Students work on real-time projects to develop intelligent applications, recommendation systems, AI chatbots, and automation solutions using modern AI frameworks and technologies.

AI & ML Syllabus

Introduction to Artificial Intelligence +
  • What is Artificial Intelligence?
  • History & Evolution of AI
  • AI, Machine Learning & Deep Learning
  • Types of AI
  • Real-World Applications of AI
  • AI Development Lifecycle
Python Programming for AI & ML +
  • Python Basics & Syntax
  • Variables, Data Types & Operators
  • Conditional Statements & Loops
  • Lists, Tuples, Dictionaries & Sets
  • Functions, Modules & Packages
  • Jupyter Notebook & Virtual Environments
Mathematics for Machine Learning +
  • Linear Algebra Basics
  • Vectors & Matrices
  • Probability Fundamentals
  • Statistics for Machine Learning
  • Calculus Basics
  • Optimization Concepts
Data Handling with NumPy & Pandas +
  • NumPy Arrays & Operations
  • Indexing, Slicing & Broadcasting
  • Pandas Series & DataFrames
  • Data Manipulation & Transformation
  • Handling Missing Values & Duplicates
  • Data Type Conversion & Cleaning
Exploratory Data Analysis & Visualization +
  • Introduction to Exploratory Data Analysis (EDA)
  • Univariate, Bivariate & Multivariate Analysis
  • Matplotlib Visualization
  • Seaborn Visualization
  • Distribution, Scatter & Correlation Plots
  • Identifying Patterns, Outliers & Insights
Machine Learning Fundamentals +
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Supervised, Unsupervised & Reinforcement Learning
  • Training, Validation & Test Data
  • Model Evaluation & Performance Metrics
  • Overfitting, Underfitting & Generalization
Supervised Learning Algorithms +
  • Linear & Multiple Linear Regression
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Decision Trees & Random Forest
  • Support Vector Machines (SVM)
  • Model Evaluation & Comparison
Unsupervised Learning Algorithms +
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Dimensionality Reduction
  • Anomaly Detection
  • Cluster Evaluation & Interpretation
Machine Learning Preprocessing & Model Optimization +
  • Data Preprocessing Pipeline
  • Feature Scaling & Normalization
  • Categorical Encoding
  • Feature Selection & Engineering
  • Cross-Validation
  • Hyperparameter Tuning
Deep Learning Fundamentals +
  • Introduction to Neural Networks
  • Neurons & Network Architecture
  • Activation Functions
  • Forward & Backpropagation
  • Loss Functions & Optimizers
  • TensorFlow & Keras Model Training
Advanced Deep Learning +
  • Convolutional Neural Networks (CNN)
  • Image Classification with CNN
  • Recurrent Neural Networks (RNN)
  • Sequence Data & Time Series Basics
  • Model Regularization
  • Deep Learning Model Evaluation
Natural Language Processing (NLP) +
  • Introduction to NLP
  • Text Preprocessing & Tokenization
  • Feature Extraction & Text Representation
  • Sentiment Analysis
  • Text Classification & Chatbot Basics
  • Language Models Overview
Computer Vision with OpenCV +
  • Introduction to Computer Vision
  • Image Processing Fundamentals
  • Image Transformations & Filtering
  • Image Classification
  • Object Detection Basics
  • OpenCV Fundamentals
AI Model Deployment & Cloud Basics +
  • Machine Learning Model Deployment
  • REST APIs for AI/ML Applications
  • FastAPI Basics
  • Docker for Model Deployment
  • Cloud Deployment - AWS, Azure & GCP
  • Model Monitoring & AI Security
Real-Time AI & ML Projects +
  • Data Analysis & EDA Project
  • Machine Learning Prediction Project
  • Classification & Recommendation Project
  • NLP / Sentiment Analysis Project
  • Computer Vision Project
  • End-to-End AI/ML Capstone Project
AI & ML Interview & Practical Assessment +
  • Python & Machine Learning Coding Challenges
  • ML Algorithm Implementation Tasks
  • Data Preprocessing & EDA Challenges
  • Model Evaluation & Optimization Tasks
  • Real-Time AI/ML Problem Solving
  • AI & ML Scenario-Based Assessment

Upcoming AI & Machine Learning Batch Schedule in Salem

Dev Technology Solutions provides flexible batch timings for all students in Salem. Choose a daily evening batch or a weekend batch, in the classroom or online. If this schedule doesn’t match your timing, please let us know — we’ll arrange one that suits your convenience.

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Mon - Sun
TODAYS BATCH
06:00 PM (IST)
(Class 1Hr 30Min) / Per Session
--
Sat (Sat - Sun)
WEEKEND BATCH
10:00 AM (IST)
(Class 3Hrs) / Per Session
--
Sun (Sat - Sun)
WEEKEND BATCH
05:00 PM (IST)
(Class 2Hrs) / Per Session

Can’t find a batch that fits your timing?

AI & Machine Learning Trainer Profile

Our AI & Machine Learning trainers at Dev Technology Solutions teach artificial intelligence, machine learning and Python through practical sessions: each topic is explained, demonstrated and then practised on real examples, with doubt-clearing and reviews of your work.

Sessions are led by trainers with 10+ years of hands-on experience in artificial intelligence, machine learning and Python. Read about our trainers on the About Us page.

Alongside the technical modules, trainers help you prepare for interviews for roles such as Machine Learning Engineer, AI Developer and Data Scientist, using the projects you build during the course.

AI & Machine Learning Course Certificate

After you complete the AI & Machine Learning training and its project work, Dev Technology Solutions issues a course completion certificate. Employers can check it on our certificate verification page.

The certificate records the AI & Machine Learning skills you practised, including Python Programming for AI & ML, Mathematics for Machine Learning and Data Handling with NumPy & Pandas, and you can add it to your resume and LinkedIn profile together with the code of your course project.

Placement training is included, so you also practise presenting your certificate and project work in interviews, with resume reviews and mock interviews before you apply for jobs.

Sample Dev Technology Solutions course completion certificate

Key Features of Our AI & Machine Learning Training

Online Training
Practical Coding and Implementation
Structured Learning Path to Ensure Mastery
Experienced Instructor-Led Sessions
Get Trained in Real Industry Environment
Make Yourself Job Ready
Certificate and Placement Support
Hands-on Training in Live Projects
Virtual Learning Portal
Free Demo Classes and Lab Access
Classroom and Industrial Training
Build Reliable and Scalable Applications
Guest Lectures from Industry Experts
Cover Coding in Masterclass
Core + Advanced + Frameworks Training
Master Coding with Live Classes

How We Prepare Students for IT Jobs

Training-to-placement steps: requirement analysis, software training, deployment, communication, resume preparation, mock assessment and placement assistance

AI & Machine Learning Training in Salem: FAQs

What does the AI & Machine Learning course in Salem cover?

The syllabus has 16 modules: Introduction to Artificial Intelligence, Python Programming for AI & ML, Mathematics for Machine Learning, Data Handling with NumPy & Pandas, Exploratory Data Analysis & Visualization, Machine Learning Fundamentals, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Machine Learning Preprocessing & Model Optimization, Deep Learning Fundamentals, Advanced Deep Learning, Natural Language Processing (NLP), Computer Vision with OpenCV, AI Model Deployment & Cloud Basics, Real-Time AI & ML Projects and AI & ML Interview & Practical Assessment.

Can I take AI & Machine Learning training online, or only in the classroom?

Both. You can attend classroom sessions at our centre in RBT Mall, Meyyanur Byepass Road, Salem, or join live online classes.

What are the AI & Machine Learning batch timings?

A daily batch (Monday to Sunday) runs at 6:00 PM IST, 1 hour 30 minutes per session. Weekend batches run on Saturday at 10:00 AM IST (3 hours) and Sunday at 5:00 PM IST (2 hours). If none of these suit you, we can arrange a batch at a time that works for you.

Who can join the AI & Machine Learning course?

The course suits students, graduates and professionals interested in AI; the course starts with Python and the mathematics you need.

Will I get a certificate after the AI & Machine Learning course?

Yes. After you finish the training and project work, you receive a Dev Technology Solutions course completion certificate, which employers can check on our certificate verification page.

Do you provide placement support?

Yes. Placement training and assistance include resume building, mock interviews, coding tests and job referrals, to prepare you for roles such as Machine Learning Engineer, AI Developer and Data Scientist.

What is the AI & Machine Learning course fee, and can I pay in EMI?

Fees depend on the course and batch, so call +91-74021-01006 or contact us for the current fee. You can pay by card, net banking or UPI, digital wallet, EMI or cash.

Can I attend a free demo class before joining?

Yes. Book a free demo class on this page or call +91-74021-01006.

More questions? See our general FAQs or contact our Salem team.