Why this Program?

In a world where high-level digitization of processes is on the rise, the generation of data is in volumes, giving rise to the popularity of data science technology and its tools. Data science which is defined as the significant technology of current times has been a game-changer across various industries. There is a lot more data being generated than there was ever before and so as the scope in this field as well.

1. Certified Data Scientists are poised to scale new heights

2. There is a shortage of 250,000 data scientists currently

3. Artificial Intelligence market size is projected to reach USD 266.92 Billion by 2027

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1. The Bootcamp provides the entire toolbox you need to become a data scientist

2. Fill up your resume with in-demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, 2 and Seaborn, Advanced statistical analysis, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow

3. Impress interviewers by showing an understanding of the data science field

4. Learn how to pre-process data

5. Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)

6. Start coding in Python and learn how to use it for statistical analysis

7. Perform linear and logistic regressions in Python

8. Carry out cluster and factor analysis

9. Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn

10. Apply your skills to real-life business cases

11. Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlow Develop a business intuition while coding and solving 11 tasks with big data

12. Unfold the power of deep neural networks

13. Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and 13 how hyperparameters could improve performance

14. Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations

Why AI with us?

6 Hrs/Week Live InstructorLed Online Sessions

1 Weeks of Project Work

Top Python Industry’s Tools Covered

Industry and Academia Faculty

Active Q/A Forum

Program Syllabus

1. Overview of AI and Machine Learning Engineering Stack

2. Data Wrangling at Scale and Statistics for AI

3. Foundations of Machine Learning

4. A Deep Dive into Deep Learning

5. AI Case Study 1: Natural Language Processing

6. AI Case Study 2: Computer Vision

7. Building and Deploying Large-Scale AI Systems

8. Capstone project

Who can apply?

Only for University graduates

Make an initial deposit of $500 to secure your seat, then pay the remainder of your tuition in one lump sum before class begins.

Maximum tuition under this plan: $10,000