TRAINING + INTERNSHIP PROGRAM
AI & Machine Learning
Step into the future of technology. Master data science, machine learning algorithms, deep learning, and build intelligent applications with Python.
6 MonthsDuration
5+Industry Projects
100%Placement Assistance
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Technologies & Libraries You Will Master
Python
NumPy
Pandas
Matplotlib
Scikit-learn
TensorFlow
Keras
Jupyter
Detailed Weekly Syllabus
- Python Fundamentals for Data Science.
- Data Analysis with NumPy and Pandas.
- Data Cleaning and Preprocessing techniques.
- Data Visualization with Matplotlib and Seaborn.
- Introduction to Machine Learning with Scikit-learn.
- Supervised Learning: Linear & Logistic Regression.
- Decision Trees, Random Forest, and SVM.
- Unsupervised Learning: K-Means Clustering & PCA.
- Introduction to Neural Networks and Deep Learning.
- Building Models with TensorFlow and Keras.
- Convolutional Neural Networks (CNNs) for Image Recognition.
- Building and training your first CNN model.
- Recurrent Neural Networks (RNNs) for Sequence Data.
- Introduction to Natural Language Processing (NLP).
- Capstone Project: Build an end-to-end ML model.
- Career Prep, Mock Interviews, and Internship.
Learn From Industry Experts
Our trainers are industry professionals with 5 to 10+ years of experience. You will work under their guidance and get direct mentorship. If you have any doubts, you can connect with them anytime.
PM
Priya Mehta
Lead Data Scientist
RK
Rohan Khanna
Machine Learning Engineer
SA
Dr. S. Anand
AI Research Scientist
Frequently Asked Questions
Do I need a strong math background for this course?+
While a background in linear algebra and probability is helpful, it is not mandatory. We cover all the necessary mathematical concepts from a practical perspective as they are needed for the algorithms.
What kind of projects will we work on?+
You will work on real-world datasets to build a variety of projects, such as spam email detectors, image classifiers for medical diagnosis, and sentiment analysis models for social media data.
What job roles can I get after this course?+
You will be prepared for high-demand roles like Data Scientist, Machine Learning Engineer, AI Engineer, and Data Analyst in top tech companies and innovative startups.