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Advanced Certificate in Machine Learning and Cloud 

  • Offered byupGrad
  • Private Institute
  • Estd. 2015

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Overview

An in-depth exploration of the cutting-edge intersection of machine learning and cloud computing

Duration

9 months

Total fee

2.00 Lakh

Mode of learning

Online

Credential

Certificate

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Highlights

  • Earn a certificate after completion of course
Details Icon

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Course details

Who should do this course?

Programmers and developers looking to specialize in machine learning and cloud technologies

Professionals with a background in data analysis who want to advance their skills in machine learning and cloud-based solutions

What are the course deliverables?

Introduction to Machine Learning

Deep Learning and Neural Networks

Natural Language Processing (NLP)

Cloud Computing Fundamentals

Cloud-Based Machine Learning

Big Data and Data Engineering

ML Model Deployment and Optimization on the Cloud

More about this course

The Advanced Certificate in Machine Learning and Cloud is an intensive, hands-on program designed to equip professionals with the advanced skills required to leverage machine learning (ML) techniques and cloud computing platforms in real-world applications

This program covers the core concepts of machine learning algorithms, data processing, model building, and model evaluation, as well as the integration of these technologies with popular cloud platforms like AWS, Microsoft Azure, and Google Cloud

Participants will learn to design, deploy, and scale machine learning models using cloud resources, gaining practical experience in both machine learning and cloud infrastructure management

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Curriculum

PRE-PROGRAM PREPARATION

INTRODUCTION TO PYTHON

Get acquainted with Data Structures and Object Oriented Programming

PYTHON FOR DATA SCIENCE

Learn how Python is used for Data Manipulation

DATA VISUALIZATION USING PYTHON

Learn how Python is used for Data Visualization

EXPLORATORY DATA ANALYSIS

Learn how to summarize data and derive initial insights

 

INTRODUCTION TO MACHINE LEARNING AND CLOUD

INTRODUCTION TO MACHINE LEARNING

Learn Machine Learning and its applications

INTRODUCTION TO CLOUD

Learn virtualization, public and private clouds

CLOUD INFRASTRUCTURE USING AWS

Learn elastic provision services and how to set up cloud

 

DATA WAREHOUSING AND DATA MANAGEMENT

INTRODUCTION TO HDFS

Understand the distributed file system and Hadoop architecture

INTRODUCTION TO SQL

Learn the basic SQL queries to read, write and manage data in a database

ADVANCED SQL

Learn the advanced SQL queries and gain mastery over this programming language

HIVE QUERYING

Learn to access or modify large datasets stored in a distributed file system

 

BIG DATA PROCESSING USING SPARK

INTRODUCTION TO SPARK

Understand the architecture and functionality of spark

PYSPARK PROGRAMMING

Learn the fundamentals and different libraries of pyspark

DATASET PROCESSING USING PYSPARK

Learn to implement the data analysis using pyspark

 

MACHINE LEARNING - 1

INFERENTIAL STATISTICS AND HYPOTHESIS TESTING

Learn Probability Distribution Functions, Random Variables, Sampling Methods,Central Limit Theorem and more to draw inferences. Understand how to formulate and test hypotheses to solve business problems

LINEAR REGRESSION

Learn to implement Linear Regression and predict continuous data values

LOGISTIC REGRESSION

Learn how supervised learning is used for classification

 

MACHINE LEARNING - 2

DECISION TREE

Tree-based models that are simple and easy to use learn the fundamentals on how to implement them
CLUSTERING

Learn how to create segments based on similarities using K-means and hierarchical clustering

REGRESSION + MODEL SELECTION ON SAGEMAKER

Learn to use the AWS services like sagemaker to implement the machine learning models

Faculty Icon

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Faculty details

S. Anand
An alumnus of IIT Madras, IIM Bangalore, and LBS London. Anand is among the top 10 data scientists in India with 20 years of experience.
Dr.Janakiram D.
Dr. Janakiram D., a PhD, at IIT Madras heads and coordinates the research activities of the Distributed & Object Systems Lab.
Ujjyaini Mitra
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Mirza Rahim Baig
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Placements

ParticularsStatistics (2021)
Highest SalaryINR 73.00 Lakh
Lock IconTop Recruiters for upGrad
Accenture
Adobe
Amazon
American Express
AZB and Partners
CapGemini
Deloitte
Flipkart
Genpact
HCL
HSBC
IBM
ICICI
IDFC
Infosys
JP Morgan Chase
Khaitan & Co
Kotak Bank
Make My Trip
McKinsey
Mind Tree
Myntra
Ola Cabs
Oracle
PayTM
pwc
SalesForce
Standard Chartered bank
Star Plus
TATA Consultancy Services
TCS
Trilegal

Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 
Entry Requirements

General
GraduationUp Arrow Icon
  • 50%
  • Mandatory Courses : B.E. / B.Tech
Online Eligibility TestUp Arrow Icon
  • N/A
Work ExperienceUp Arrow Icon
  • Minimum: 24 months

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Advanced Certificate in Machine Learning and Cloud
 at 
upGrad 

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