BICARD AI & Data Science Bootcamp (Generative AI Focus)

BICARD AI & DS Bootcamp Course Overview

BICARD proudly presents its AI & Data Science Bootcamp with Generative AI specialization, designed for aspiring professionals who want to become industry-ready in the rapidly growing field of Artificial Intelligence and Machine Learning.

This 6-month (500 hours) intensive program includes 250 hours of theory and 250 hours of hands-on training, covering everything from AI foundations to deep learning, generative AI, data engineering, and business applications. Students will gain real-world experience through capstone projects, ensuring they are job-ready by the end of the course.

The program comes with placement assistance and prepares learners for top roles in AI-driven industries.

Prerequisites

  • Basic understanding of programming (preferably Python)
  • Knowledge of mathematics (linear algebra, probability, statistics)
  • No prior AI/ML experience is required – course starts from foundations

Course Modules

1. Foundations of AI & ML

  • Python for data science
  • Linear algebra & probability basics
  • Machine Learning algorithms (regression, classification, clustering)

2. Deep Learning & Generative AI

  • Neural networks, CNNs, RNNs
  • Generative AI models (LLMs, diffusion models)
  • Responsible AI & ethics

3. Data Engineering & Visualization

  • SQL & ETL pipelines
  • Big data frameworks (Spark, Hadoop basics)
  • PowerBI, Tableau, Looker dashboards

4. AI for Business & Edge

  • Cloud & Edge deployment
  • Case studies in healthcare, fintech, automation

5. Capstone Project & Placement Preparation

  • End-to-end AI/ML project execution
  • Resume building, mock interviews, employer connects

Job Profiles After the Course

  • AI/ML Engineer
  • Data Scientist / Analyst
  • Generative AI Specialist / Prompt Engineer
  • Business Intelligence Analyst
  • Data Engineer

Job Sectors Hiring AI Professionals

  • Healthcare (AI-driven diagnostics, medical image processing)
  • Finance & FinTech (fraud detection, predictive analytics)
  • E-commerce & Retail (recommendation systems, personalization)
  • IT & Cloud Companies (automation, AI services)
  • Manufacturing & Automation (AI-powered robotics, edge AI)

Salary & Package Expectations

According to Glassdoor & AmbitionBox (India data 2025):

  • Entry-level AI/ML Engineer: ₹6–8 LPA
  • Mid-level Data Scientist: ₹12–18 LPA
  • Generative AI Engineer: ₹15–25 LPA
  • Global Opportunities (US/Europe): $90,000 – $130,000 per year

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