AI, Data Science & Generative AI Program

This comprehensive program is designed to build expertise in Data Science, Machine Learning, Deep Learning, and Generative AI with real-world applications. It covers the complete journey from Python programming and statistics to advanced AI, LLMs, cloud, and MLOps.

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About Us

I am Irfan Khan, a seasoned software development professional with over 15 years of experience, specializing in the Hire, Train, and Deploy (HTD) model.

I have successfully trained over 20,000 candidates and helped them secure positions at top MNCs such as ATOS Origin, Zensar, Amdocs, Deloitte, Cerner, Persistent Systems, Nucleus Software, Intellect Design Arena, 3i Infotech, Emphasis, MetricStream, Samsung, and Accenture.

With 17+ years of industry experience, our expert trainer brings deep knowledge and real-world expertise across multiple cutting-edge technologies. Having worked on diverse projects and trained numerous professionals, the trainer is passionate about transforming beginners into confident, job-ready developers.

Key Learning Areas

Programming & Data Foundations

  • Python for Data Science (NumPy, Pandas, Visualization)
  • SQL for data analysis and reporting
  • Statistics & probability for decision-making

Data Analysis & Visualization

  • Exploratory Data Analysis (EDA)
  • Data cleaning, preprocessing & feature engineering
  • Data visualization and storytelling

Machine Learning & AI

  • Supervised learning (classification & regression)
  • Unsupervised learning (clustering, anomaly detection)
  • Model evaluation, tuning & optimization

Deep Learning & Neural Networks

  • ANN, CNN, RNN, LSTM
  • Computer Vision & real-world AI applications

Generative AI & LLMs

  • Prompt engineering & ChatGPT
  • RAG (Retrieval-Augmented Generation)
  • Building AI applications & chatbots
  • Agentic AI & automation

Cybersecurity & AI Governance

  • AI security, data protection & compliance
  • Ethics, fairness, and responsible AI

Cloud & MLOps

  • Cloud computing for AI (AWS/Azure/GCP)
  • Model deployment, CI/CD pipelines
  • Monitoring, versioning & automation

Capstone Project & Internship

  • Real-world AI/ML project implementation
  • End-to-end solution development
  • Industry-oriented internship experience

Career Outcomes

  • Data Scientist
  • AI/ML Engineer
  • Generative AI Engineer
  • Data Analyst