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Generative AI and NLP in Python

Generative AI and NLP in Python

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Generative AI and NLP in Python Exam

Generative AI is a field of artificial intelligence focused on building systems that can produce new and original content, such as text, visuals, or speech. When paired with Natural Language Processing (NLP), it allows machines to not only understand human language but also generate responses or content that sound natural and useful. Python plays a central role in this because it provides easy-to-use tools and libraries like TensorFlow, PyTorch, and NLTK that help developers build AI-powered applications quickly.

In everyday terms, Generative AI with NLP in Python means teaching computers how to "understand" and "communicate" in human language. This could be through chatbots that answer customer questions, AI assistants that write reports, or systems that analyze social media trends. For professionals, mastering this area unlocks exciting possibilities in both research and industry, making it a valuable skill in today’s AI-driven world.

Who should take the Exam?

This exam is ideal for:

  • Data Scientists
  • AI/ML Engineers
  • Python Developers
  • NLP Engineers
  • Research Scientists
  • Chatbot Developers
  • Software Engineers in AI-driven companies

Skills Required

  • Basic to intermediate Python programming
  • Understanding of machine learning basics
  • Curiosity about AI and language processing
  • Problem-solving and logical thinking

Course Outline

  • Domain 1 - Introduction to Generative AI and NLP
  • Domain 2 - Python for AI and NLP
  • Domain 3 - Core Concepts of NLP
  • Domain 4 - Vectorization and Word Embeddings
  • Domain 5 - Generative Models in AI
  • Domain 6 - Building Text Applications
  • Domain 7 - Advanced Generative AI with NLP
  • Domain 8 - Tools and Frameworks
  • Domain 9 - Ethics and AI Responsibility

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Generative AI and NLP in Python FAQs

Basic ML concepts are helpful but not needed.   

Yes, chatbot building and conversational AI are part of the training.

Python libraries like TensorFlow, PyTorch, Hugging Face, spaCy, and NLTK.

It enhances your ability to analyze and generate insights from text data.

Developers, data scientists, and AI enthusiasts who want to specialize in Generative AI and NLP.

No, intermediate Python knowledge is enough; advanced concepts are explained.

It equips you with skills to build cutting-edge AI systems like chatbots, summarizers, and AI writers.

Yes, it’s highly valuable for academic and industrial AI research.

Yes, hands-on projects and coding exercises are included.

Healthcare, finance, e-commerce, education, and IT services.