Our AI ML course offers practical training and real projects, just like you'd work on in a tech job. It's a straightforward path to your dream career in technology.
AI/ML Engineer’s average salary
Source: Glassdoor
AI/ML Jobs to be Created in 5 Years
Source: Business Standard
Transform your curiosity into expertise with our structured live sessions, projects, and mock interviews.
Engage in extensive live interactions for an immersive learning experience tailored to your pace.
Work on a variety of projects that reflect the current demands of the tech industry.
Enhance your skill set with a series of targeted assignments designed for practical learning.
Experience the interview process with professionals to sharpen your responses and techniques.
Leverage insider know-how, build a stand-out resume, and work on projects that solidify your expertise.
Score tips and tricks from the tech pros of India. Our one-on-one mentoring puts you in touch with industry leaders ready to guide you in AI and ML.
Make your first impression count with a standout resume and LinkedIn profile. Our team helps you polish your professional story so you can shine in India's tech job market.
Jump into live projects from Indian tech companies and start solving real problems. It’s hands-on learning that proves you’ve got what it takes to succeed.
Show off your AI/ML skills with a certificate that tells employers you're job-ready. Complete projects that matter, and get the proof to back it up in your interviews.
Step up your game in tech with a focused, incremental learning plan designed for aspiring AI/ML professionals.
Fundamental SQL Statements, DML & Filtering, Ordering, Aggregate, Joins, Mathematical Functions, and Date - Time Functions
Introduction to Git, Common Git commands, Anaconda Installation, Jupyter Notebook Setup, and Google Collab
Python Basics, Python Functions and Packages Numpy, Pandas, Matplotlib, and Seaborn
Basic Statistics, Probability & Conditional Probability, and Hypothesis Testing
Encoding Techniques, Scaling, Normalization, Data imputation, and Outlier Analysis
Logistic Regression, KNN Classification, Linear Regression, Naive Bayes Classifiers, Decision Tree, and SVM
Boosting, and Bagging
Clustering, and PCA
Feature Engineering, Cross Validation, Grid Search CV, Random Search CV, and ML Pipeline
Popularity based recommendation system, Content Based Recommendation System, and Collobarative Filering
Introduction to Neural Networks, Activation and Loss functions, Backward and forward propagation, Gradient Descent Batch Normalization, TensorFlow & Keras for Neural Networks, and Hyper Parameter Tuning
Introduction to MLOps, and Deploying Machine Learning Models
Overview on AI tools
Capstone
A glance at the key career phases for aspiring AI/ML engineers.
Gain a competitive edge in the job market with our recognized certificate of AI/ML proficiency.
Our AI and ML courses provide foundational knowledge and programming skills for understanding, implementing, and applying machine learning models to real-world problems. Whether you’re a beginner or an experienced professional, our course covers vital concepts, advanced algorithms, and real-world applications. Gain practical training and experience through real projects, just like you’d work on in a tech job. It’s a straightforward path to your dream career in technology. Stand high at the top of the job market with our recognized AI/ML proficiency certificate to boost your career. Begin your AI/ML career now by joining our carefully curated course here
Individuals with both technical and non-technical backgrounds are eligible to enroll in the AI & ML course. While learning AI/ML can be challenging, our industry-led experts provide live class training, practical sessions, real-time projects reflecting the current demands of the tech industry, assignments, online test series, and mock interviews. These resources collectively enable you to easily master AI and ML, paving the way for your dream career in technology
Yes, AI and ML offer promising career opportunities for both freshers and professionals. For freshers, entering the field provides a chance to be part of cutting-edge technologies, with numerous entry-level positions and the potential for rapid career growth. As per the current market average Engineer salary is 6L-13Lakhs rupees per year.
Yes, AI and ML heavily involve mathematics, particularly concepts from linear algebra, calculus, probability theory, and statistics. These mathematical principles form the foundation for understanding algorithms, models, and data analysis techniques used in AI and ML applications
The duration of the course is 7 to 8 months with a weekend schedule on Saturday and Sunday, aimed at individuals aspiring to become AI/ML professionals. Start your AI/ML journey here