AI & Machine Learning Course with Placement Support
Go beyond simple models. Master Deep Learning, Computer Vision, and Generative AI (LLMs & Diffusion Models).
Why AI & ML?
Traditional software is dead. The future is probabilistic, generative, and adaptive.
Generative AI (GenAI)
Learn to fine-tune Large Language Models (LLMs) like Llama and GPT. Build RAG (Retrieval Augmented Generation) pipelines to chat with your own data.
Deep Learning
Understand the magic behind the curtain. Build Neural Networks from scratch. Master Backpropagation, CNNs for Vision, and RNNs/LSTMs for Text.
NLP & Vision
Teach computers to see and read. Build Face Recognition systems and Sentiment Analysis engines using PyTorch and TensorFlow.
Production Grade AI
Models in notebooks are useless. We teach you MLOps: How to deploy models as APIs using FastAPI, Dockerize them, and monitor them in production.
The AI & ML Curriculum
From Neural Networks to Large Language Models.
Fundamentals
- Problem Solving & Logic Building
- Python Programming
- Data Structures Basics
- Git & Command Line Basics
Math Skills
- Linear Algebra
- Probability & Statistics
- Calculus Basics
- Optimization Concepts
Python Libs
- NumPy
- Pandas
- Data Preprocessing
- Data Cleaning & Transformation
- Exploratory Data Analysis (EDA)
Core ML
- Introduction to Machine Learning
- Supervised Learning
- Regression Algorithms
- Classification Algorithms
- Unsupervised Learning
- Clustering
- Dimensionality Reduction
- Model Evaluation Metrics
- Overfitting & Underfitting
Optimization
- Ensemble Methods (Random Forest, XGBoost)
- Feature Engineering
- Hyperparameter Tuning
- Model Optimization Techniques
DL Basics
- Neural Networks Basics
- TensorFlow / PyTorch
- CNN (Computer Vision)
- RNN / LSTM (Sequence Models)
- Transfer Learning
NLP
- Text Preprocessing
- Sentiment Analysis
- Named Entity Recognition
- Topic Modeling
- Transformers & LLM Basics
CV Basics
- Image Processing
- Object Detection
- Image Classification
- OpenCV
GenAI
- Introduction to Generative Models
- Prompt Engineering
- Large Language Models (LLMs)
- Text & Image Generation
- Retrieval-Augmented Generation (RAG)
- Vector Databases
Ops
- Model Deployment (Flask / FastAPI)
- Docker Basics
- CI/CD for ML
- Model Monitoring
Ethics
- Bias & Fairness
- Data Privacy
- Ethical Considerations
- Security in AI
Cloud
- AWS / Azure / GCP ML Services
- Using Cloud GPUs
- Deploying AI 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.
TensorFlow
FrameworkPyTorch
FrameworkKeras
LibraryScikit-learn
LibraryHugging Face
ModelsSlack
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 AI Scenarios
Don't just learn theory. Build production-grade AI applications.
Custom RAG Chatbot
Build a chatbot that knows your company data using RAG (Retrieval Augmented Generation) with OpenAI and Pinecone.
Face Recognition System
Create a secure attendance system using Computer Vision (OpenCV and FaceNet) to detect and recognize employee faces.
Netflix-style Recommendations
Build a movie recommendation system using Collaborative Filtering and Deep Learning embeddings.
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
Don't Just Take Our Word.
See Their Offer Letters.
Join 1,200+ students who have transformed their careers with our AI & 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.
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Frequently Asked Questions
Everything you need to know about the course and certification.
Do I need to know Python?
What hardware do I need?
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Join the AI Revolution
Don't watch the future happen. Build it.