Post Graduate Program in AI and Machine Learning
4.0 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Post Graduate Program in AI and Machine Learning at Simplilearn Overview
Duration | 12 months |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Post Graduate Program in AI and Machine Learning at Simplilearn Highlights
- 8X higher live interaction with 200+ hours of live online classes by industry experts
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Ranked #1 AI and Machine Learning course by TechGig
- Purdue Post Graduation Program certification and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- Capstone from 3 domains and 25+ Projects with Industry datasets from Twitter, Wikipedia, Zomato etc.
Post Graduate Program in AI and Machine Learning at Simplilearn Course details
- IT professionals
- Software developers
- Data analysts
- Analytics managers
- Business analysts
- Data engineers
- Data scientists
- Beginners or recent graduates with a bachelor?s or master?s degree
- Simplilearn?s AI and Machine Learning course will help you learn a dozen of top skills and tools including, Python, Keras, Tensorflow, Django, and so much more.
- Not just that, you also get access to capstone in 3 domains and over 25 hands-on industry projects to implement and practice the skills you have learned during the program.
- Artificial intelligence (AI) and machine learning are among the most sought after and highly compensated digital economy skills. Accelerate your career with our acclaimed Post Graduate Program in AI and Machine Learning in partnership with Purdue University and in collaboration with IBM. This program features the perfect mix of theory, case studies, and extensive hands-on practice in artificial intelligence education, leveraging Purdue?s academic excellence and Simplilearn?s partnership with IBM.
- Course Fee: INR 2,30,000
- EMI Start at INR 7635 per month
Post Graduate Program in AI and Machine Learning at Simplilearn Curriculum
Introduction to Artificial Intelligence
Lesson 1 - Decoding Artificial Intelligence
Lesson 2 - Fundamentals of Machine Learning and Deep Learning
Lesson 3 - Machine Learning Workflow
Lesson 4 - Performance Metrics
Statistics Essential
Lesson 1 - Introduction
Lesson 2 - Sample or Population Data?
Lesson 3 - The Fundamentals of Descriptive Statistics
Lesson 4 - Measures of Central Tendency, Asymmetry, and Variability
Lesson 5 - Practical Example: Descriptive Statistics
Lesson 6 - Distributions
Lesson 7 - Estimators and Estimates
Lesson 8 - Confidence Intervals: Advanced Topics
Lesson 9 - Practical Example: Inferential Statistics
Lesson 10 - Hypothesis Testing: Introduction
Lesson 11 - Hypothesis Testing: Let?s Start Testing!
Lesson 12 - Practical Example: Hypothesis Testing
Lesson 13 - The Fundamentals of Regression Analysis
Lesson 14 - Subtleties of Regression Analysis
Lesson 15 - Assumptions for Linear Regression Analysis
Lesson 16 - Dealing with Categorical Data
Lesson 17 - Practical Example: Regression Analysis
Python for Data Science
Lesson 1 - Python Basics
Lesson 2 - Python Data Structures
Lesson 3 - Python Programming Fundamentals
Lesson 4 - Working with Data in Python
Lesson 5 - Working with NumPy Arrays
Data Science with Python
Lesson 1 - Data Science Overview
Lesson 2 - Data Analytics Overview
Lesson 3 - Statistical Analysis and Business Applications
Lesson 4 - Python Environment Setup and Essentials
Lesson 5 - Mathematical Computing with Python (NumPy)
Lesson 6 - Scientific Computing with Python (SciPy)
Lesson 7 - Data Manipulation with Pandas
Lesson 8 - Machine Learning with Scikit?Learn
Lesson 9 - Natural Language Processing with Scikit Learn
Lesson 10 - Data Visualization in Python using Matplotlib
Lesson 11 - Web Scraping with BeautifulSoup
Lesson 12 - Python Integration with Hadoop MapReduce and Spark
Machine Learning
"Lesson 1 - Introduction to Artificial Intelligence and Machine Learning
Lesson 2: Data Preprocessing
Lesson 3: Supervised Learning
Lesson 4: Feature Engineering
Lesson 5: Supervised Learning-Classification
Lesson 6: Unsupervised Learning
Lesson 7: Time Series Modelling
Lesson 8: Ensemble Learning
Lesson 9: Recommender Systems
Lesson 10: Text Mining
Deep Learning with TensorFlow and Keras
Lesson 1 - AI and Deep Learning Introduction
Lesson 2 - Artificial Neural Network
Lesson 3 - Deep Neural Network and Tools
Lesson 4 - Deep Neural Net Optimization, Tuning, and Interpretability
Lesson 5 - Convolutional Neural Net (CNN)
Lesson 6 - Recurrent Neural Networks
Lesson 7 - Autoencoders
Advanced Deep Learning and Computer Vision
Lesson 1 - Course Introduction
Lesson 2 - Prerequisites for the course
Lesson 3 - RBM and DBNs
Lesson 4 - Variational AutoEncoder
Lesson 5 - Working with Deep Generative Models
Lesson 6 - Applications: Neural Style Transfer and Object Detection
Lesson 7 - Distributed & Parallel Computing for Deep Learning Models
Lesson 8 - Reinforcement Learning
Lesson 9 - Deploying Deep Learning Models and Beyond
Reinforcement Learning
"Lesson 1 - Introduction to Reinforcement Learning
Lesson 2 - Reinforcement Learning Framework and Elements
Lesson 3 - Multi-Arm Bandit
Lesson 4 - Markov Decision Process
Lesson 5 - Solution Methods
Lesson 6 - Q-value and Advantage Based Algorithms
Post Graduate Program in AI and Machine Learning at Simplilearn Entry Requirements
- A bachelor?s degree with an average of 50% or higher marks
- Basic understanding of programming concepts and mathematics
- Working Professionals with 2+ years of experience are preferred to apply for this program
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