Artificial Intelligence

Big Data Analytics Generative AI Business Analytics Training Bootcamp

Comprehensive, hands-on training to build your professional competence and accelerate your career.

16 Weeks
all_levels
Online
Next Batch: August 24, 2026
|
Only 8 seats remaining
|
35 students enrolled this month

Course Overview

This advanced 16-week bootcamp covers the complete Big Data ecosystem — from data ingestion and storage to real-time processing and AI-driven business analytics. You will work with enterprise-grade tools like Apache Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, GCP) while integrating Generative AI for intelligent data querying and report automation.

What You Will Learn

  • Apache Hadoop ecosystem — HDFS, MapReduce, Hive, HBase
  • Apache Spark for real-time and batch processing
  • Apache Kafka for streaming data pipelines
  • Cloud Big Data services — AWS EMR, Azure HDInsight, Google BigQuery
  • Business Analytics with Generative AI (LLM-powered querying)
  • Data warehousing concepts and architecture
  • ETL pipeline design and optimization

Who Is This For?

  • Data Engineers wanting to scale to Big Data
  • Analytics professionals working with large datasets
  • Cloud architects and ETL developers

Prerequisites

Basic Python or Java programming. Familiarity with SQL and databases recommended.

Course Highlights

  • ⏱ Duration: 16 Weeks
  • 📜 portfolio of Completion
  • 💼 Job placement support
  • ☁️ Hands-on cloud labs (AWS / Azure / GCP)

Ready to Transform Your Career?

Our expert trainers are ready to guide you. Leave your details and we will get back to you shortly.

What's Included

📚
32 Live Sessions
32 sessions over 16 Weeks
🎦
Lifetime Recordings
All sessions recorded for lifetime replay
📝
Study Material
Notes, templates and cheat sheets included
🎯
Mock Interviews
2 full panel mock interviews with feedback

Course Curriculum

Phase 1: Big Data Foundations (Weeks 1-3)

Understand the Big Data ecosystem and set up your Hadoop and Spark environment.

  • Big Data: Volume, Velocity, Variety, Veracity
  • Hadoop ecosystem: HDFS, MapReduce, YARN
  • Apache Spark: RDDs, DataFrames, Spark SQL
  • Hive for SQL-on-Hadoop analytics
  • Cloud data lakes: AWS S3, Azure Data Lake
Phase 2: Business Analytics Core (Weeks 4-7)

Apply analytical thinking to real business problems using Excel, SQL, and Python.

  • Business analytics frameworks and KPI design
  • Advanced Excel: pivot tables, VLOOKUP, scenario analysis
  • SQL for business reporting and cohort analysis
  • Python: Pandas, data cleaning and wrangling
  • Statistical hypothesis testing for business decisions
Phase 3: Machine Learning for Business (Weeks 8-10)

Build predictive models that solve real business problems like churn prediction, demand forecasting, and pricing.

  • Customer segmentation with K-Means
  • Churn prediction with classification models
  • Sales forecasting with time series
  • Price optimization with regression
  • Model explainability for business stakeholders
Phase 4: Generative AI for Business (Weeks 11-13)

Leverage Generative AI to automate reporting, generate insights, and build AI-powered business tools.

  • LLMs for automated report generation
  • Prompt engineering for business use cases
  • AI-powered data summarization with GPT APIs
  • Building AI chatbots for business data Q&A
  • Responsible AI and bias in business decisions
Phase 5: BI Dashboards & Visualization (Weeks 14-15)

Present big data insights through professional dashboards using Power BI and Tableau.

  • Power BI: DAX, data modelling, executive dashboards
  • Tableau: calculated fields, LOD expressions
  • Storytelling with data for C-suite presentations
Phase 6: Capstone Project (Week 16)

End-to-end business analytics project from raw data ingestion to AI-powered executive dashboard.

  • Dataset selection and problem framing
  • Big Data pipeline with Spark
  • ML model for business prediction
  • AI-generated narrative insights
  • Executive dashboard and presentation

Skills You Will Gain

Problem Solving Communication Critical Thinking Leadership Time Management Teamwork

Career & Salary Outcomes

Average salaries after completing this training

Junior Professional ₹4–08 LPA
Mid-level Professional ₹8–16 LPA
Senior Professional ₹15–28 LPA
Course Fee
$1,299
One-time · Lifetime access
35 students enrolled this month
What You Get
  • 16 Weeks program
  • Online format
  • Real Projects for portfolio
  • Interview Prep sessions
  • Lifetime recording access
🔥 Limited Seats
Next batch fills up fast. Secure your spot now.

What Our Students Say

Real feedback from real professionals who completed this program

★★★★★

“The Big Data Analytics Generative AI Business Analytics Training Bootcamp course at Astrikcoders was exactly what I needed to upskill. The hands-on projects were incredible.”

A
Amit V.
Recent Graduate
★★★★★

“I was able to transition into a new role thanks to this Big Data Analytics Generative AI Business Analytics Training Bootcamp program. The instructors are very knowledgeable.”

S
Sneha R.
Working Professional
★★★★★

“Highly recommend the Big Data Analytics Generative AI Business Analytics Training Bootcamp training. It covers everything from basics to advanced topics with real-world examples.”

K
Karthik N.
Tech Enthusiast

Frequently Asked Questions

Everything you need to know before enrolling

What is the difference between Big Data and regular Data Analytics?

Regular data analytics works with structured, manageable datasets. Big Data analytics handles massive, unstructured datasets using distributed computing tools like Hadoop and Spark.

What tools will I learn in the Big Data program?

You will learn Apache Hadoop, Apache Spark, Hive, Kafka, Google BigQuery, AWS Redshift, and Generative AI integration with large datasets.

How long is the Big Data Analytics program?

This is a 16-week comprehensive bootcamp with live sessions, lab access to cloud clusters, and a real-world capstone project.

What kind of companies hire Big Data professionals?

Banks, insurance companies, e-commerce giants (Amazon, Flipkart), healthcare firms, and telecommunications companies are the biggest hirers of Big Data engineers.

What salary can I expect after completing the Big Data training?

Entry-level Big Data engineers in India earn u20b96u201310 LPA. Experienced professionals with 3+ years can earn u20b920u201340 LPA in top tech companies.