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- Artificial Intelligence Course in New York USA
Artificial Intelligence Course in New York, USA
Develop an understanding of the advanced strategies and skills to leverage the strength of artificial intelligence, deep learning, and machine learning.
Online
Quick facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course overview
Artificial Intelligence Course in New York, USA online certification is offered by MindMajix Technologies Inc., that aims to provide candidates with an excellent opportunity to learn about and practice AI tools and technologies such as machine learning, natural language processing, deep learning, supervised and unsupervised learning models, neural networks, and much more. Artificial Intelligence Course in New York, USA online course is specifically designed to prepare applicants to become experts in the implementation of artificial intelligence solutions for real-world scenarios.
Artificial Intelligence Course in New York, USA online classes by MindMajix Technologies provide 50 hours of total learning resources In its self-paced video learning mode. Candidates can also enroll in the live online form of learning, in which sessions will be held live on Google Meet or Zoom, and in which candidates will be educated about various technical aspects of AI such as cloud computing, computer vision, AWS, Python, SAS, Tableau 10 and AWS Lambda through use cases and projects. After finishing the training, Mindmajix also provides a course completion certificate to demonstrate the mastered skillset.
The highlights
- Certificate of completion
- Certification oriented curriculum
- Lifetime self-paced video access
- Flexible schedule
- Project use cases
- 30 hours session
- 20 hours of labs
- Quizzes & Mocks
- Free demo on request
- One-on-one doubt resolution
- 100% money-back guarantee
- 24/7 lifetime assistance
Program offerings
- Certificate of completion
- Certification oriented curriculum
- Lifetime self-paced video access
- Flexible schedule
- Project use cases
- 30 hours session
- 20 hours of labs
- Quizzes & mocks
- Free demo on request
- One-on-one doubt resolution
Course and certificate fees
certificate availability
certificate providing authority
What you will learn
After completing the Artificial Intelligence Course in New York, USA certification course, candidates will develop a deep understanding of the core concepts of AI and machine learning. Candidates will explore the strategies for data management, data analytics, predictive analysis, using SAS, and statistical decision making. Candidates will learn study about programing which enables artificial intelligence technology such as Keras, and TensorFlow for deep learning, and python. Candidates will also study computer vision, cloud computing, and amazon web service as well as learn about AWS Lambda and tableau 10.
The syllabus
Foundation of AI & ML
Python for Artificial Intelligence
- Python Essentials
- Python Environment Setup
- Python Data Types
- Python Looping and Control Statements
- Object-Oriented Programming Concepts
- Database Connection
Python Libraries for Artificial Intelligence
- Numpy
- Scipy
- Pandas
- MatPlot
Data Management
- Data Acquisition
- Data Pre-processing and Preparation
- Data Transformation and Quality
- Handling Text Data
- Big Data Fundamentals
- Big Data Frameworks(Spark, Hadoop, NoSQL)
SAS-Data Analytics
- SAS Introduction
- SAS Functions
- SAS Operators
- SAS Procedures
- SAS Graphs
- SAS Macros
- SAS Format
Statistical Decision Making
- Data Visualisation
- Sampling and Estimation
- Inferential Statistics
Predictive Analytics
- Linear Regression
- Multiple Linear Regression
- Non-Linear Regression
- Forecasting Models
Machine Learning
- ML Foundations
- Clustering
- Classification(Naive Bayes Classifier, K-Nearest Neighbors)
- Association Rule Mining
Artificial Intelligence
- Foundations of AI
- Convolution Neural Networks
- Recurrent Neural Networks
Deep Learning with Keras and TensorFlow
- Deep Learning Libraries
- Keras API
- TensorFlow
- Deep Learning Algorithms
Advanced Deep Learning and Computer Vision
- Distributed and Parallel Computing
- Deploying Deep Learning Models
- Reinforcement Learning
- Generating Images with Neural Style
- Object Detection through Convolutional Neural Networks
Cloud Computing and AWS
- Introduction to Cloud Computing and AWS
- Storage Volumes and Elastic Compute
- Virtual Private Cloud
- Simple Storage Services
- AWS Lambda and Amazon Machine Learning
Tableau 10
- Introduction to Data Visualisation
- Tableau Architecture
- Working with Data Blending
- Creation of Sets
- Calculations, Expression, and Parameters.
- Dashboards, Stories, and Filters
- Tableau Prep
Instructors
Mr Abhishek 1
Instructor
Freelancer