12

Months

6

Core Modules

20+

Projects

100%

Placement Support

What You'll Master

A comprehensive curriculum designed to take you from beginner to industry-ready AI professional.

Python for Data Science

Master Python programming with focus on NumPy, Pandas, Matplotlib, and data manipulation techniques essential for AI development.

NumPy Pandas Matplotlib

Machine Learning Fundamentals

Build strong foundations in supervised and unsupervised learning, regression, classification, and model evaluation techniques.

Scikit-learn Regression Classification

Neural Networks & Deep Learning

Deep dive into artificial neural networks, backpropagation, optimization algorithms, and modern deep learning frameworks.

TensorFlow PyTorch Keras

Natural Language Processing

Learn text processing, sentiment analysis, language models, transformers, and build applications like chatbots and translators.

BERT GPT Transformers

Computer Vision

Master image processing, CNNs, object detection, image segmentation, and state-of-the-art architectures for visual intelligence.

OpenCV YOLO ResNet

MLOps & Deployment

Learn to deploy, monitor, and maintain ML models in production using Docker, Kubernetes, and cloud platforms.

Docker AWS MLflow

12-Month Learning Journey

A structured path from fundamentals to production-ready skills, designed for optimal learning outcomes.

01

Months 1-3: Foundation & Core Concepts

Build a strong base in programming, mathematics, and the fundamental principles of machine learning that will underpin your entire AI journey.

Key Focus Areas:

  • Python programming essentials and data structures
  • Statistics, probability, and linear algebra for ML
  • Introduction to machine learning algorithms
  • Data preprocessing and exploratory analysis
02

Months 4-6: Advanced Machine Learning

Dive deeper into complex algorithms, model tuning, and feature engineering. Start working on real-world datasets and competitive projects.

Key Focus Areas:

  • Ensemble methods: Random Forests, XGBoost, LightGBM
  • Hyperparameter tuning and model optimization
  • Feature engineering and selection techniques
  • Real-world Kaggle competitions and projects
03

Months 7-9: Deep Learning Specialization

Master neural networks, computer vision (CV), and natural language processing (NLP). Implement cutting-edge architectures and work on specialized projects.

Key Focus Areas:

  • CNNs, RNNs, LSTMs, and Transformer architectures
  • Computer vision: object detection, segmentation, GANs
  • NLP: BERT, GPT, and language model fine-tuning
  • Capstone projects in CV or NLP domains
04

Months 10-12: MLOps & Career Prep

Learn to deploy, monitor, and manage models in production. Focus on resume building, mock interviews, and portfolio development for placements.

Key Focus Areas:

  • Model deployment with Docker, Flask, and FastAPI
  • Cloud platforms: AWS, Azure, Google Cloud
  • Portfolio development and GitHub showcase
  • Interview preparation and placement support

Why Choose DronAI?

We're not just another online course. We're building India's AI future.

Industry Expert Mentors

Learn from professionals working at top tech companies and leading AI research labs.

Hands-On Projects

Build 20+ real-world projects that demonstrate your skills to potential employers.

Industry-Recognized Certificate

Earn a certificate valued by employers across the AI and tech industry.

Placement Assistance

Dedicated career support including resume reviews, mock interviews, and job referrals.

Ready to Start Your AI Journey?

Join hundreds of students who are already building their future in Artificial Intelligence.

Limited seats available for the next batch starting soon.