Machine Learning Course with Placement Support
From Linear Regression to Deep Neural Networks. Master the algorithms that power modern AI.
Why Learn Machine Learning?
Automate the future. Build systems that learn from experience.
Master the Core Algorithms
Don't just use libraries. Understand the math. We cover Regression, Classification, Clustering, and Dimensionality Reduction in depth, so you know exactly which model to choose.
Beyond Basics
Step into the world of Deep Learning. Build Neural Networks with TensorFlow and PyTorch to solve complex problems like Image Recognition.
Optimization
A model is only as good as its tuning. Learn Hyperparameter Tuning, Cross-Validation, and Feature Selection to squeeze every % of accuracy.
End-to-End Projects
You won't just fit models. You'll build complete ML pipelines. From data ingestion to deployment using Docker and FastAPI.
The Machine Learning Curriculum
Structured path from Python basics to Advanced AI.
Fundamentals
- Problem Solving & Logic Building
- Python Programming
- Data Structures Basics
- Git & Command Line Basics
Math Skills
- Linear Algebra
- Probability & Statistics
- Calculus Basics
- Optimization Techniques
Python Libs
- NumPy
- Pandas
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization (Matplotlib, Seaborn)
Introduction
- Introduction to Machine Learning
- Types of ML (Supervised, Unsupervised, Reinforcement Learning)
- ML Workflow
- Model Evaluation Metrics
- Overfitting & Underfitting
Algorithms
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- K-Nearest Neighbors (KNN)
Cluster Analysis
- Clustering (K-Means, Hierarchical)
- Dimensionality Reduction (PCA)
- Anomaly Detection
Advanced Tech
- Ensemble Methods (Boosting, Bagging, XGBoost, LightGBM)
- Feature Engineering
- Feature Selection Techniques
- Hyperparameter Tuning
- Model Optimization
DL Basics
- Neural Networks Basics
- TensorFlow / PyTorch
- CNN Overview
- RNN / LSTM Overview
NLP Intro
- Text Preprocessing
- Sentiment Analysis
- Text Classification
Deployment
- Model Serialization
- Building APIs (Flask / FastAPI)
- Docker Basics
- CI/CD for ML
- Model Monitoring
Big Data
- SQL for ML
- Big Data Basics (Spark MLlib)
- Working with Large Datasets
Cloud Services
- AWS / Azure / GCP ML Services
- Using Cloud GPUs
- Deploying ML Models on Cloud
Master the Tools of the Trade
Get hands-on experience with the practical tools and platforms used by top engineering teams worldwide.
Scikit-Learn
ML LibraryTensorFlow
Deep LearningPandas
Data PrepJupyter
EnvironmentHugging Face
GenAISlack
CommunicationJira
Project MgmtGitHub
Version ControlGit
Version ControlOpenAI
AI AssistantGemini
AI AssistantZoom
CommunicationYour 5-Month Journey to Success
A structured, intense, and outcome-oriented roadmap designed to take you from novice to professional.
Advanced Python
Advanced Python for AI: Decorators, Generators, and Async IO.
Deep Learning Base
Neural Networks, TensorFlow/PyTorch basics.
Generative AI
LLMs, RAG Pipelines, and Vector Databases.
AI Agents
Building autonomous agents and multi-agent systems.
Placement Phase
Preparing for high-end AI Engineering roles.
Real-World ML Scenarios
Don't just learn theory. Build production-grade AI applications.
Stock Price Predictor
Predict future stock prices using LSTM (Long Short-Term Memory) neural networks on historical time-series data.
Customer Segmentation
Group customers into distinct segments using K-Means Clustering to target marketing campaigns effectively.
Spam Classification
Build a robust email spam filter using Naive Bayes and NLP techniques like TF-IDF Vectorization.
Earn a Certificate that
Proves Your Expertise
Upon successful completion of the course and capstone project, you will receive an industry-recognized certification from Aideas Academy.
We Don't Just Teach.
We Get You Hired.
Resume Building
Craft a world-class resume that stands out. We help you highlight your skills and projects effectively.
- ATS Optimized
- Project Highlighting
- Keyword Strategy
Mock Interviews
Practice with industry experts. Get real-time feedback to crack technical and HR rounds with confidence.
- Technical Rounds
- HR Questions
- Confidence Building
Career Mentorship
1-on-1 guidance from seniors in top MNCs. Map out your career path and meaningful growth strategies.
- 1-on-1 Sessions
- Industry Insights
- Growth Roadmap
Job Alerts
Get exclusive access to our hiring network. We connect you directly with startups and MNCs hiring now.
- Exclusive Openings
- Direct Referrals
- Interview Scheduling
"The project-based approach was exactly what I needed. I built a Churn Prediction System that got me hired at a top analytics firm."
Don't Just Take Our Word.
See Their Offer Letters.
Join 1,200+ students who have transformed their careers with our Machine Learning program.
Siddharth M.
The RAG and LLM modules are world-class. I built a document chat bot for my final project which impressed the hiring manager immensely.
Ishita Rao
This course bridges the gap between traditional coding and AI. Learning how to integrate OpenAI API and Vector DBs opened so many doors for me.
Varun K.
Practical, hands-on, and futuristic. We didn't just learn theory; we built autonomous agents. Truly advanced content.
Riya Sen
If you want to stay ahead of the curve, this is the course. I'm now leading the AI initiative at a funded startup thanks to the skills I gained here.
Related Courses
Expand your skills with these complementary certification programs.
Frequently Asked Questions
Everything you need to know about the course and certification.
Is this course different from Data Science?
What projects will I build?
Do you provide job support?
Do I need strong math skills?
Which language do you use?
Ready to Upgrade Your Skills?
Join the next batch and become a certified Machine Learning Engineer.