Learn by doing live projects
AI & Machine Learning Course in Chennai
Become an AI & Machine Learning Engineer by mastering Python, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, and AI-powered development tools. Build industry-level AI projects, gain internship experience, certification, and placement assistance in just 3 Months.
- Duration
- 3 Months Course
- Mode
- Online/Offline
- Level
- Beginner to Advanced
Preparing You for Opportunities at Leading Companies
Real Learning. Real Experience. Real Results.
Course Overview
The AI & Machine Learning Course at ARYU Academy is a comprehensive 3-month industry-focused program designed for freshers, college students, graduates, working professionals, career switchers, and aspiring AI Engineers.
Learn Python programming, data preprocessing, machine learning algorithms, deep learning fundamentals, Natural Language Processing (NLP), Computer Vision, Generative AI, and model deployment. Work on real-world AI projects, build a strong portfolio, and become job-ready with internship experience, certification, and placement assistance.
What You'll Learn In This Course
Industry-aligned modules with hands-on lab sessions designed for both beginners and professionals.
- AI Fundamentals
- Machine Learning Overview
- Deep Learning Basics
- AI Applications
- AI Career Opportunities
- Industry Trends
- Python Basics
- Variables & Data Types
- Operators
- Loops
- Functions
- File Handling
- Classes & Objects
- Constructors
- Inheritance
- Polymorphism
- Exception Handling
- Modules
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Data Visualization
- Data Cleaning
- Probability
- Mean & Median
- Standard Deviation
- Correlation
- Linear Algebra Basics
- Calculus Basics
- Data Collection
- Missing Values
- Feature Engineering
- Data Scaling
- Label Encoding
- Train-Test Split
- Students will build:
- Data Analysis Dashboard
- Student Performance Prediction
- Sales Analysis
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Model Training
- Model Evaluation
- ML Workflow
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- KNN
- Support Vector Machine
- Neural Networks
- TensorFlow Basics
- Keras
- Activation Functions
- Loss Functions
- Model Training
- Text Processing
- Tokenization
- Sentiment Analysis
- Text Classification
- Chatbot Basics
- Language Models
- Image Processing
- OpenCV Basics
- Image Classification
- Object Detection
- Face Recognition
- OCR Basics
- Prompt Engineering
- ChatGPT
- AI Assistants
- Image Generation
- LLM Basics
- AI Productivity Tools
- Students will build:
- Movie Recommendation System
- Spam Email Classifier
- Customer Churn Prediction
- Flask API
- FastAPI Basics
- Streamlit
- Model Deployment
- API Integration
- Cloud Deployment
- Git & GitHub
- Model Versioning
- ML Pipelines
- Docker Basics
- Deployment Workflow
- Monitoring
- AI Agents
- AI Workflows
- AI Automation
- LangChain Basics
- MCP Introduction
- AI Integrations
- Client Communication
- AI Project Planning
- Proposal Writing
- Portfolio Building
- Freelancing Platforms
- Project Pricing
- Students will develop:
- House Price Prediction
- Face Recognition System
- AI Chatbot
- Resume Screening System
- Medical Diagnosis Prediction
- Customer Churn Prediction
- Stock Price Prediction
- Recommendation System
- Loan Approval Prediction
- Fake News Detection
- Image Classification Model
- Sentiment Analysis Application
- Resume Building
- LinkedIn Optimization
- GitHub Portfolio
- AI Interview Questions
- Machine Learning Interview Preparation
- Mock Interviews
- Internship Experience
- Certification
- Placement Assistance
Tools You Master
- Python
- Numpy
- Pandas
- Metasploit
- Tensor FLow
- Keras
- Open CV
- steamlit
- VS Code
- Git
- Github
- Chatgpt
Career Opportunities
Prepare for high-impact, premium roles across global technology infrastructure and modern design ecosystems.
- Role 01
AI Engineer
- Role 02
Machine Learning Engineer
- Role 03
Deep Learning Engineer
- Role 04
NLP Engineer
- Role 05
Computer Vision Engineer
- Role 06
AI Application Developer
- Role 07
Data Scientist
- Role 08
AI Research Associate
- Role 09
Python AI Developer
- Role 10
Generative AI Engineer
How Does This Training Work?
Our Training Offers A Genuine Corporate Experience, Unlike Other Institutes And Training Companies. You'll Work On Real Tasks And Projects, Simulating A Professional Work Environment.
Daily Reporting
You'll submit daily reports detailing your tasks and progress, just like in a corporate setting. This daily reporting helps you stay organized and prepares you for real-world job responsibilities.
Real-Time Experience
You'll address actual challenges enhancing your skills and gaining the confidence needed to step into professional roles through active involvement and immediate feedback.
Personalized Coaching
Offers personalized one-on-one guidance, tailored to your goals, helping you overcome challenges, refine skills, and achieve personal and professional growth.
Average Salary
- ₹ 5 - 8 LPA
- Freshers
- ₹ 10 - 18 LPA
- 2-5 Years
- ₹ 20+ LPA
- Experienced Professionals
- ₹60,000 – ₹3,50,000/month
- Freelancing Income
Who Can Join
College Students
Build industry-ready skills while studying and prepare for your career.
Freshers
Gain practical experience and improve your chances of landing your first job.
BE / B.Tech Students
Enhance your engineering curriculum with practical AI and machine learning skills.
BCA / MCA Students
Build a strong foundation in AI and data science to complement your computer applications degree.
BSc / MSc Students
Apply your scientific knowledge to real-world AI applications and research opportunities.
Working Professionals
Upskill with in-demand AI technologies to accelerate your career growth.
Career Switchers
Start a new career in AI confidently with hands-on projects and expert guidance.
Aspiring AI Engineers
Master artificial intelligence, machine learning, and deep learning to launch your career as an AI engineer.
Certificate
Get Your Certificate
Earn an industry-recognized certification upon successful course and project completion.
Course FAQs
By the End
of This Course,
You'll Be Able To
Gain production-ready expertise and engineering frameworks required by global tech teams.
- Build Machine Learning models from scratch
- Develop Deep Learning applications
- Create NLP and Computer Vision solutions
- Build AI chatbots and intelligent applications
- Deploy AI models to the cloud
- Use Generative AI tools to improve productivity
- Build a professional AI project portfolio
- Work on real client projects confidently
- Start freelancing or launch your career as an AI & Machine Learning Engineer
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