Goal: To Get a Job or Advance Career | Salary: ₹9-10 lakh | Nanodegree | Basic Programming Skills Needed | Taught by Udacity Instructors | Duration: 3 Months
A job-oriented program that teaches you Python, NumPy, pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra. These learnings form the foundations for building your own neural network.
Note: This program is meant for beginners have a bit of coding knowledge in any programming language and who want to look at a career in advanced software development or machine learning.
What You’ll Learn
- How to start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly
- How to use key tools for working with data in Python such as Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib
- Foundational linear algebra such as vectors, linear transformations and matrices needed for AI development and foundational calculus to understand how to train a neural network
- Build a strong foundation neural networks, deep learning and PyTorch
What You’ll Earn
- ₹9-10 lakh per year is the average starting salary for an AI engineer in India (Source: glassdoor.co.in, ambitionbox.com)
- $120,000+ per year is the average salary for an AI engineer in the US (Source: Lightcast™ US Job Postings)
Details
This nanodegree program teaches you in-demand skills and basic AI programming tools such as Python, NumPy, PyTorch and essential math skills such as linear algebra and calculus. The course intends to help you build your own AI applications in just three months.
Here are the skills the program will teach you:
- Python: NumPy, MatPlotLib, Python Operator, Python Data Type, Pandas, AI Algorithms in Python
- Computer Science and Programming: Control Flow, Variable Scope, User Input Handling, Loops, Lambda Expressions, Iterators, Generators
- Data Structures and Algorithms: Gradient Descent
- Neural Networks and Deep Learning: Backpropagation
- Data Presentation: Vector Visualization
- Software Monitoring and Troubleshooting: Code Debugging
- Object-Oriented Programming: Classes
Applied Learning Project
The course comprises of five modules that cover topics in-depth. You will have hands-on training on real-world problems.
After the first module on Introduction to Python, you will use a pre-trained image classifier to identify dog breeds.
After the final module on Neural Networks, you will create your own image classifier.
