AI & Machine Learning

Aevoriq Academy's AI & Machine Learning course is a comprehensive 4-month bootcamp designed to take you from fundamentals to industry-ready expertise. You will master Python, NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch through hands-on labs and real-world capstone projects under the guidance of senior AI engineers.

Aevoriq Academy � Course

AI & Machine Learning

A comprehensive 4-month bootcamp that takes you from Python basics to deploying production-grade ML models. Learn through hands-on labs, real datasets, and industry capstone projects mentored by senior AI engineers.

Enroll Now 4 Months  •  Live + Recorded  •  Certificate
4
Months Duration
200+
Hours of Training
10+
Live Projects
Online
Learning Mode

What You Will Learn

Course Curriculum

Python for AI & Data Science

Master Python programming, NumPy, Pandas, and Matplotlib � the essential toolkit for every AI/ML engineer.

Data Preprocessing & EDA

Learn to clean, transform, and explore real-world datasets to extract meaningful insights before modelling.

Supervised Learning

Regression, classification, decision trees, SVMs, and ensemble methods using scikit-learn with real datasets.

Unsupervised Learning

K-Means, DBSCAN, PCA, dimensionality reduction, and anomaly detection for unlabelled data problems.

Deep Learning & Neural Networks

Build CNNs, RNNs, LSTMs, and Transformers with TensorFlow and PyTorch for image, text, and time-series data.

Model Deployment & MLOps

Deploy ML models as REST APIs using FastAPI and Flask. Containerise with Docker and monitor in production.

Modules

Course Breakdown

01
Python & Data Foundations

Python basics, Numpy, Pandas, Matplotlib, Seaborn, SQL fundamentals

02
Exploratory Data Analysis

Data cleaning, feature engineering, statistical analysis, visual storytelling

03
Classical Machine Learning

Linear/logistic regression, KNN, SVM, Random Forest, XGBoost, model evaluation

04
Unsupervised & Reinforcement

Clustering, dimensionality reduction, PCA, Q-Learning basics

05
Deep Learning Fundamentals

ANNs, CNNs, RNNs, LSTM, attention mechanisms using TensorFlow & PyTorch

06
NLP & Computer Vision

Text classification, sentiment analysis, object detection, image segmentation

07
Model Deployment & APIs

FastAPI, Flask, Docker containers, REST API development, Streamlit dashboards

08
Capstone Project & Placement

End-to-end ML project, portfolio building, mock interviews, job connect

Tech Stack

Tools & Technologies

PythonTensorFlowPyTorchscikit-learnPandasNumPyMatplotlibFastAPIDockerSQLJupyterGit

Ready to Master AI & Machine Learning?

Join the next batch and build real ML models from day one. Limited seats available.

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