Goal: To Advance Career Goal or Earn College Credits | Salary: ₹9-10 lakh | Professional Certificate | Prior Knowledge of Data Science Basics Needed | Taught by IBM Instructors | Duration: 2 Months
This program helps you launch your career as an AI engineer. You learn how to provide business insights from big data using machine learning and deep learning techniques.
Each course takes 4-5 weeks to complete if you spend 2-4 hours working through the course per week.
You can apply for jobs such as AI Developer, Machine Learning Engineer, Data Engineer, Data Scientist, etc. after this program.
Please note that you should know how Python is used for data science and should have mastered the teachings in the IBM Data Science Professional Certificate and IBM Applied AI Professional Certificate programs before you pick this program.
What You’ll Learn
- Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction
- Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn
- Deploy machine learning algorithms and pipelines on Apache Spark
- Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow
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 program will help you master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python.
You will apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.
You will gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You will also build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.
You can earn college credits from this program if you are pursuing a Master of Data Science degree from Illinois Tech or BSc in Computer Science degree from University of London.
Applied Learning Project
The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow.
In the in-depth Capstone Project, you will apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes.
