APG Learning Course Page

Data Engineer Bootcamp

Become a Data Engineer with this comprehensive training course

Data Engineer Bootcamp

Become a Data Engineer with this comprehensive training course

Duration

12 Weeks | 90 Days

Mode of Delivery

Online Live / Self-Paced

Fees

Rs 60,000/-

Courses Start Date

Coming Soon

Duration

12 Weeks | 90 Days

Mode of Delivery

Online Live / Self-Paced

Fees

Rs 60,000/-

Courses Start Date

Coming Soon

Programme Overview

APG Learning has been working towards up-skilling of professionals and farmers through various short and long-term courses. APG Learning has offered 250+ courses in various areas that cover technical skills, forward linkage opportunities, backward linkages, entrepreneurship and exports. At APG Learning, we run some of the most in-demand employability-related courses in the fields of technology, agriculture, management, and allied subjects.

Become a certified Data Engineer with this intuitive Bootcamp program! Get a holistic understanding of Data engineering by exploring topics like Data – Modeling, Warehousing, Lakes, Pipelines, Big Data, and introduction to Machine Learning

CAMP stands for Content Assignments Masterclass Projects completely contributed by the industry.

CONTENT

Our training content is contributed and vetted by industry leaders. You are readily equipped with the latest industry tools. Case studies and applications on trending topics

ASSIGNMENTS

You will get access to various current (‘as-is’) problems faced by the industry. This will provide contemporary industry exposure as part of the curriculum

PROJECTS

Industry always plans for future on innovative products and services to stay competitive in the market. You will havefirst-hand experience as an extended resource on various forecasted projects.

MASTERCLASS

Intuitive and interactive live sessions by eminent industry experts.

How will you benefit

Brush-up the prerequisites to learn AI. (Maths, Stats, Python, Optimization)

Understand all the concepts of Machine Learning, Deep Learning, Data Analysis.

Apply these concepts with the latest tools, platform to build end to end models and solutions.

Through Design thinking apply your new skills to solve case studies across verticals.

Manage the change involved in shifting toward an AI-driven business.

On successful completion of Preparatory AI Bootcamp will make students eligible to become an Azure/Google/AWS Certified AI Engineer.

How will you benefit

Brush-up the prerequisites to learn AI. (Maths, Stats, Python, Optimization)

Understand all the concepts of Machine Learning, Deep Learning, Data Analysis.

Manage the change involved in shifting toward an AI-driven business.

Apply these concepts with the latest tools, platform to build end to end models and solutions.

Through Design thinking apply your new skills to solve case studies across verticals.

On successful completion of Preparatory AI Bootcamp will make students eligible to become an Azure/Google/AWS Certified AI Engineer.

Journey of Student

Start your journey with APG Learning as a novice in the field of artificial intelligence & machine learning and end your career as an industry-certified expert. Learn from expert practitioners in Data Science with experience from Amazon, Flipkart, etc. Join the best industry-centric AI program offered by APG Learning with world class pedagogy!

Data Science
Preparatory
Bootcamp

Data Analyst
Bootcamp

Data Engineer
Bootcamp

Data Scientist
Bootcamp

Data Science
Preparatory Bootcamp

Data Analyst
Bootcamp

Data Engineer
Bootcamp

Data Scientist
Bootcamp

Build innovative AI applications with the strong foundation of our course and become an in-demand AI professional.

Build innovative AI applications with the strong foundation of our course and become an in-demand AI professional.

Why apg learning

It is no secret that the demands of the workplace are changing every day. Whether it’s adapting to a remote or offline setting, building more diverse, equitable, or finding a new way to enhance productivity, working in a state of constant flux is now accepted and expected. To excel in the new-age corporate setup, the necessity for new recruits to showcase multi-disciplinary skills is a need of the hour.

With the constant evolution of industry requirements, training content, faculty, and infrastructure; that does not meet the expected needs, and hence industries talk about ‘Lack of Talent.’ This gap in lack of quality training and ever changing industry requirements directly affects the productivity of recruits and professionals. To solve this problem, we at APG Learning have established an industry-centric training formula called CAMP.

Course Curriculum

Fundamentals of Artificial Intelligence

Introduction to Data Analysis
  • Data Exploration And Preprocessing
  • Data Wrangling
    1. INTRO TO DATA WRANGLING
    2. GATHERING DATA
    3. ASSESSING DATA
    4. CLEANING DATA
  • Data Visualization
    1. Data formatting and analysis for data graphics
    2. Creation of data graphics
    3. Refinement of data graphics
    4. Data visualization case studies and examples
Main Program  |   8 + 8 Hrs
Data Modeling
  • Introduction to Data Modeling
  • Relational Data Models
  • NoSQL Data Models
Main Program  |   4 + Hrs
Introduction to the Data Warehouses
  • Introduction to the Cloud with AWS
  • Implementing Data Warehouses on AWS
Main Program  |   4 + 4 Hrs
Data Lakes
  • The Power of Spark
  • Data Wrangling with Spark
  • Introduction to Data Lakes
Main Program |   4 + 4 Hrs
Data Pipeline with Apache Airflow
  • Data Pipelines
  • Data Quality
  • Production Data Pipelines
Main Program  |   4 + 4 Hrs
Introduction to Machine Learning
  • Learning from Data
  • Introduction to Bayesian Learning
Main Program  |   5 + 5 Hrs
Big Data Analytics
  • Big Data Stack
  • Functional Programming in Scala
  • Design Thinking and Storytelling
Main Program  |   5 + 5 Hrs
Industry Projects
  • Network Intrusion detection
  • Weather Forecasting
Case Studies

Assessment Exam, Project Submission

Python, R
Tools & Platform
Theory + Lab : Covered in the Labs

Course Curriculum

Fundamentals of Artificial Intelligence Duration
Main Program
Introduction to Data Analysis
  • Data Exploration And Preprocessing
  • Data Wrangling
    1. INTRO TO DATA WRANGLING
    2. GATHERING DATA
    3. ASSESSING DATA
    4. CLEANING DATA
  • Data Visualization
    1. Data formatting and analysis for data graphics
    2. Refinement of data graphics
    3. Data visualization case studies and examples
8 + 8 Hrs
Data Modeling
  • Introduction to Data Modeling
  • Relational Data Models
  • NoSQL Data Models
4 + Hrs
Introduction to the Data Warehouses
  • Introduction to the Cloud with AWS
  • Implementing Data Warehouses on AWS
4 + 4 Hrs
Data Lakes
  • The Power of Spark
  • Data Wrangling with Spark
  • Introduction to Data Lakes
4 + 4 Hrs

Data Pipeline with Apache Airflow

  • Data Pipelines
  • Data Quality
  • Production Data Pipelines
4 + 4 Hrs
Introduction to Machine Learning
  • Learning from Data
  • Introduction to Bayesian Learning
5 + 5 Hrs
Big Data Analytics
  • Big Data Stack
  • Functional Programming in Scala
  • Design Thinking and Storytelling
5 + 5 Hrs
Case Studies
  • Network Intrusion detection
  • Weather Forecasting
Assessment Exam, Project Submission Theory + Lab
Tools & Platform
Python, R, Tableau, SQL, Apache Cassandra, Spark
Covered in the Labs
Python Libraries
Numpy, Pandas, MLlib
Google Cloud
Tensorflow, Big Query, Big Table, Dataflow
Amazon AWS
Amazon Redshift, S3, ESR, Ethena, Apache Airflow

Assessment Exam, Project Submission

Industry Projects

Tools

How to apply

Eligibility Criteria

Should have basic knowledge of Python Programming language, AI, ML and Mathematics.

Pre-Requisite

Participants should have invested the mentioned number of hours into the pre-requisites before joining the program. A prior assessment test will conducted to validate the student’s eligibility criteria.

Admission Process

  • Step 1 – Participants click on Apply Now.
  • Step 2 – Participants will have to fill the online application form, and submit the signed form.

FAQs

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