Goal: To Advance Your Career | Salary: ₹10-12 lakh | Professional Certificate | Python, Statistics, Linear Algebra Knowledge Needed | Taught by IBM Staff | Duration: 2 Months
A job-oriented 6-course series that helps you prepare for a career in machine learning. The program will teach you to use high-demand Machine Learning techniques in real world data sets. You will be able to derive and communicate insights from data using Exploratory Data Analysis, Supervised Learning, Unsupervised Learning, Deep Learning, Time Series Analysis, and Survival Analysis.
What You’ll Learn
- Master the most up-to-date practical skills and knowledge machine learning experts use in their daily roles
- Learn how to compare and contrast different machine learning algorithms by creating recommender systems in Python
- Develop working knowledge of KNN, PCA, and non-negative matrix collaborative filtering
- Predict course ratings by training a neural network and constructing regression and classification models
What You’ll Earn
- ₹10-12 lakh per year is the average starting salary for a Machine Learning professional in India (Source: careers360.com, glassdoor.co.in)
- $112,000+ per year is the average salary for a Machine Learning professional in the US (Source: ziprecruiter.com)
Details
This 6-course beginner-friendly program teaches you in-demand skills like AI and Machine Learning to get job-ready in less than 3 months.
This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement Learning.
On completion, you will have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You will also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.
Applied Learning Project
This Professional Certificate program has a strong emphasis on developing real-world skills that help you advance a career in Machine Learning and Deep Learning.
All courses include a series of hands-on labs and final projects that help you focus on a specific project that interests you. You will gain exposure to a series of tools, libraries, cloud services, datasets, algorithms, assignments, and projects that will provide you with practical skills to use on Machine Learning jobs.
These skills include:
- Tools such as Jupyter Notebooks and Watson Studio
- Libraries such as Pandas, NumPy, Matplotlib, Seaborn, ipython-sql, Scikit-learn, ScipPy, Keras, and TensorFlow.
- Algorithms such as Supervised and Unsupervised Learning, Regression, Classification, Clustering, Linear Regression, Ridge Regression, Machine Learning (ML) Algorithms, Decision Tree, Ensemble Learning, Survival Analysis, K-means clustering, DBSCAN, Dimensionality Reduction
