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Data Science + Gen AI

  • Expert-led Training
  • Real-time Projects
  • Career Transformation & Guidance
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4.5
Advanced
20 Weeks
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Data Science + Gen AI

Data Science and Generative AI are revolutionizing industries by enabling advanced analytics, automation, and intelligent decision-making. This course is designed to equip you with the essential skills to analyze complex data, build machine learning models, and leverage Generative AI for innovative applications.

You’ll learn fundamental Data Science concepts, including data preprocessing, statistical analysis, machine learning, and deep learning. Additionally, you’ll explore Generative AI technologies such as GPT, image generation models, and AI-driven automation. Hands-on projects with Python, SQL, and AI frameworks will help you apply these concepts in real-world scenarios.

Whether you’re an aspiring Data Scientist, AI Engineer, or looking to enhance your analytical skills, this course will empower you to unlock the full potential of data and AI-driven solutions. Join us and step into the future of intelligent computing!

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Careers

A career in Data Science and Generative AI opens up exciting opportunities in the rapidly evolving world of artificial intelligence and data-driven decision-making. With expertise in these fields, you can pursue roles such as Data Scientist, analyzing complex datasets to uncover insights, or Machine Learning Engineer, developing predictive models and AI-driven applications. You may also become an AI Researcher or Generative AI Engineer, working on cutting-edge technologies like large language models and AI-generated content. Other career paths include NLP Engineer, focusing on language-based AI solutions, or Computer Vision Engineer, specializing in AI-powered image and video analysis. These roles are in high demand across industries such as healthcare, finance, technology, and entertainment, offering endless possibilities for innovation and growth in AI-driven solutions.

Job Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • AI Researcher
  • Business Intelligence (BI) Analyst
  • Deep Learning Engineer
  • Generative AI Engineer
  • Natural Language Processing (NLP) Engineer
  • Computer Vision Engineer
  • AI Product Manager

What You will Learn

This course provides in-depth knowledge of Data Science and Generative AI, covering:

  • Data Science Fundamentals

    • Learn the basics of data collection, preprocessing, and exploratory data analysis.
    • Understand statistical methods and their role in data-driven decision-making.

  • Machine Learning and Predictive Analytics

    • Build machine learning models using supervised and unsupervised learning techniques.
    • Implement algorithms like regression, classification, clustering, and ensemble learning.

  • Deep Learning and Neural Networks

    • Explore neural networks, backpropagation, and optimization techniques.
    • Work with frameworks like TensorFlow and PyTorch for deep learning applications.

  • Generative AI and Large Language Models (LLMs)

    • Understand the architecture and working principles of Generative AI models like GPT.
    • Learn how to fine-tune and deploy AI models for text, image, and video generation.

  • Natural Language Processing (NLP)

    • Explore sentiment analysis, text summarization, chatbot development, and more.
    • Implement AI-driven automation for language-related tasks.

  • Computer Vision and Image Generation

    • Learn how AI models generate and manipulate images using GANs and diffusion models.
    • Apply AI techniques to real-world applications like medical imaging and content creation.

  • Big Data and AI in Cloud Computing

    • Work with large-scale datasets using cloud-based AI services.
    • Understand MLOps for deploying and maintaining AI models.

  • Ethics and Responsible AI

    • Learn about AI bias, fairness, and best practices for responsible AI development.

  • Real-World AI Projects

    • Apply your learning through hands-on projects in fraud detection, AI-generated content, and predictive analytics.

By the end of this course, you’ll be proficient in Data Science and Generative AI, enabling you to build AI-powered solutions and drive innovation in various domains.

 

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