July 1st Mon-Fri | Timing 09:00 AM - 11:00 AM | |
Aug 1st Mon-Fri | Timing 09:00 AM - 11:00 AM | |
Sep 1st Mon-Fri | Timing 09:00 AM - 11:00 AM | |
Light Package For Advanced | Full Package For Beginners |
Below, you will find comprehensive details of the Artificial Intelligence Training course, covering all the essential aspects you will be exposed to throughout the program.
At RisingStar Technologies, our Artificial Intelligence course content is thoughtfully designed by industry experts to ensure a comprehensive understanding of the essentials of Artificial Intelligence. Our curriculum covers advanced concepts and keeps you updated with the latest trends in the Artificial Intelligence domain. Explore our carefully crafted course curriculum to enhance your artificial intelligence skills and stay at the forefront of this rapidly evolving field. Join Rising Star Technologies to gain in-depth knowledge and expertise in Artificial Intelligence.
This foundation of the AI & ML module is designed to help the learners decrypt Artificial Intelligence and Machine Learning Uncertainty. This module provides an outline of Artificial Intelligence, Machine Learning Concepts, and R programming.
Learning Outcomes: By the end of this module, you will get a basic knowledge of Artificial Intelligence, Machine Learning, and Data Science Fields. Along with this, you will be familiar with R programming and Statistical Analysis.
In this module, you will learn the Python programming fundamentals like Python Environment Setup, Python Data Types, Object-Oriented Programming Concepts, Python Operators, Python Control, and Looping Statements.
Learning Outcomes: By the end of this module, you will be able to configure the Python Environment and perform different logical and mathematical calculations through Python Programs.
This Module discusses different Python Libraries like Numpy, MatPlotlib, Pandas, and Scipy.
Learning Outcomes: At the end of this module, you will acquire real-time experience of working with Python libraries to perform different tasks like mathematical computing, Data Visualisation, Data analytics, and Scientific Computing.
This module deals with the fundamentals of probability and statistics. It also covers concepts like Data acquisition, Data Quality, Data Transformation, Big Data Frameworks, etc.
Learning Outcomes: At the end of this module, you will acquire real-time experience of how to gather information from other systems, how to handle the text data, how to do the Data Transformation and Big Data.
The SAS Module gives you a detailed look at SAS Installation, SAS Functions, SAS Data Sets, SAS Procedures, SAS Graphs, SAS Macros, SAS Format, etc.
Learning Outcomes:By the end of this module, you will acquire hands-on knowledge of SAS Installation, Performing different operations through SAS Functions, Format a Variable. Along with this, you will get practical knowledge of Creating SAS Data Sets and Plotting Graphs through PROC GPLOT.
This module deals with implementing and designing verbal and visual representations of patterns, Different Visualisation Types, Sampling, Test for Hypotheses, etc.
Learning Outcomes: By the end of this module, you will achieve hands-on knowledge of Data Visualisation, Sample versus Population, and Inferential Statistics.
In this module, you will learn concepts like Regression Basics, Hypothesis of testing, Relationship between Multiple Variables, Polynomial regression, Logit function, and interpretation, Forecasting Models, etc.
Learning Outcomes:At the end of this module, you will get a real-time experience of predicting behavior patterns, trends, and outcomes. Along with this, you will gain an in-depth understanding of Non-Linear and Multiple Linear Regression.
This module discusses topics like Machine Learning Techniques, Different Clustering Methods, Probability estimation, K-Nearest Neighbour Algorithm, Support Vector Machines, Decision Trees, Association Rule Mining, etc.
Learning Outcomes:By the end of this module, you will acquire hands-on knowledge of Machine Learning Techniques, how to construct a hierarchical cluster, how to deal with categorical, continuous values in K-Means, Mathematical Model for Association Analysis.
In this module, we will learn about famous NN Architectures for getting different cognitive functions like Natural Language Processing, Object recognition. Later, you will study and implement different Artificial Intelligence Applications.
Learning Outcomes:At the end of this module, you will achieve practical knowledge of Neural Networks, Image Classification, Building Recurrent Neural Networks.
This Module discusses topics like Deep Learning Libraries, Keras, Tensorflow, Deep Learning Algorithms, etc.
Learning Outcomes: By the end of this module, you will get real-time experience on Deep Learning Models through Keras and Tensorflow Frameworks. Also, you will be able to implement Deep Learning Algorithms.
This Module discusses Advanced Deep Learning Concepts like Generating Images, Parallel Computing, Reinforcement Learning, Deploying Deep Learning Models.
Learning Outcomes: At the end of this module, you will get hands-on knowledge of Parallel Computing in Tensorflow, Architecture of Deep Neural Networks, Deploying Deep Learning Models in Serverless environments. Also, you will acquire an in-depth understanding of Tensorflow Serving.
This module deals with concepts like Cloud Computing, AWS Basics, AWS Architecture, AWS S3, EC2, ELB, EBS, AMI, VPC.
Learning Outcomes: By the end of this module, you will achieve real-time experience of creating AWS Account, launching EC2 Instance, Creating AMI for Launched Instance, AWS Storage, Creating VPC. Along with this, you will get extensive knowledge of AWS Lambda, and Amazon ML.
In this Module, you will explore the concepts like Introduction to Data Visualisation, Tableau Installation, Tableau Architecture, Tableau Interface, Creation of Sets, Tableau Filters, etc.
Learning Outcomes: At the end of this module, you will get a real-time Tableau Installation experience, sharing the existing work, Creating the Sets, Working with the Filters, etc.
By enrolling in the Big Data training program offered by our company, you can unlock a range of benefits that will enhance your career prospects in the field of Big Data. Our expert instructors provide in-depth knowledge and practical insights into working with Big Data technologies such as Hadoop, MapReduce, Spark, and more. You will learn how to process, analyze, and extract valuable insights from massive datasets, enabling you to make data-driven decisions and solve complex business problems. Additionally, our training includes hands-on projects and real-world case studies, allowing you to gain practical experience and showcase your skills to potential employers. With our comprehensive Big Data training, you will be well-equipped to pursue lucrative opportunities in the rapidly growing field of Big Data and drive innovation in various industries.
Timing 07:00 AM to 09:00 AM
Timing 07:00 AM to 09:00 AM
Timing 07:00 AM to 09:00 AM
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