Introduction to Data Industry Learning Path

Our Data Learning Path has been designed to enable our students to build a career in Data proficiency track and build their skill set to fit industry job opportunities for the following roles:
Data Engineer
Data Analyst
Data Modeler or
Database developer
MLOps Engineer

There are two Learning Packages offered under Data Learning Path which are as follows: Data Foundation Package, Data Advanced Learning Package

  1. Data Foundation Learning Package
  2. Data Advanced Learning Package
1. Data Industry Foundation Package

Data Foundation Package is suitable for students who are at the beginning of undergraduate education and are willing to build a skill base over Data Engineering related proficiency skill.  

Pre-Requisites : Entry to Data Foundation Learning Package requires our student to have fulfilled following pre-requisites:

  1. Completing BTech / MTech / MCA / BCA degree OR

  2. Alphabetz Elementary certified with strong Python Programming skills

The list of Learning Modules offered under Data Foundation Learning Package are as follows:

  1. DBMS concept and ANSI SQL Workshop
  2. Python Programming Workshop
  3. Introduction to Cloud Computing and Distributed system
  4. Introduction to Data Engineering on Cloud & Azure Services
  5. Deep Drive into Big Data platform architecture and ETL with DataBricks
  6. Introduction to AI and Machine Learning
  7. Overview of Data Analytics
  8. Introduction to NumPy and Pandas with Lab
  9. Introduction to Exploratory Data Analysis (EDA)
  10. Data Pre-processing and EDA techniques with Visualization Lab
    • Effort120 – 150  hours
    •  
      Duration6 months without a break or can be done stepwise over a period of 4 quarters
    •  
      Number of Learning Modules10 and Data Analytics Project on Sandbox Lab
    •  
      Target Industry RolesData Engineer, Data Migrator, Data Modeler or Database developer
    •  
      PriceINR 40,000 (Domestic) OR USD $1000 (International) plus all applicable taxes
  •  
    Payment Plan25% during Registration , Rest 75% in three instalments
2. Data Industry Advanced Learning Package

Data Advanced Learning Package is suitable for students who are willing to build specialization on Machine Learning beyond Data Pre-Processing

Pre-Requisites : Entry to Data Advanced Learning Package requires our student to have fulfilled following pre-requisites:
  1. Completing BTech / MTech / MCA / BCA degree
  2. Alphabetz Data Foundation Certified with strong Python programming skills and Python library knowledge

The list of learning Modules offered under Data Advanced Learning Package are as follows:

  1. Introduction to Machine Learning and ML Prediction Algorithms
  2. Evaluation and Model Selection
  3. Introduction to Model Life Cycle Management and MLOps
  4. Introduction to Deep Learning and Neural Networks Architecture
  5. Introduction to Natural Language Processing
  6. Introduction to Sequence Models and Their Architectures
  7. Introduction to Generative AI
    •  
      Effort60 – 90 hours
    •  
      Duration3 months
    •  
      Number of Learning Modules7 and Machine Learning Project on Sandbox Lab
    •  
      Target Industry RolesData Analyst, MLOps Engineer
    •  
      PriceINR 40,000 ( Domestic ) OR USD $1000 ( International ) plus all applicable taxes
  •  
    Payment Plan25% during Registration , Rest 75% in three instalments

Our AI/ML Data Industry Engineering Lab

Data Engineering Sandbox Lab built on Microsoft Azure with Azure Cloud

A cloud based environment where students will have a simulated end to end Data Engineering ecosystem showcasing journey of data all the way from Ingestion to Reporting.

Students will be completing hands on assignments built on industry use cases very similar to what they will be expected to do after joining the industry.

The picture depicts a Physical Agile Lab where students will have option to come and collaborate with other students to complete assignments following Scrum Methodology.