Course Overview:

Large Language Models (LLMs), built on Transformer architectures, have transformed natural language processing (NLP). With the rise of generative AI applications such as chatbots and virtual assistants, understanding how to use LLMs to analyse and generate text is essential. This course introduces the fundamentals of Transformer-based models and demonstrates their application in solving key NLP tasks. Learners will gain practical experience in using pre-trained models to build intelligent, human-like language systems. 

After completing this course, participants will be able to:

  • Describe how Transformers function as the core of modern LLMs.
  • Understand how LLMs manipulate, analyse, and generate text data.
  • Apply pre-trained LLMs to NLP tasks such as: Text classification, Named-entity recognition (NER), Author attribution, Question answering.

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Key Features:

  • Self-paced, hands-on learning.

  • Real-world NLP use cases.

  • Access to NVIDIA Deep Learning Institute (DLI) resources.

  • Certificate of completion from NVIDIA DLI.

Who should Attend?

  • Beginners in NLP and AI
  • Developers and data scientists exploring LLMs
  • AI enthusiasts interested in generative AI
  • Students and professionals transitioning into NLP roles

Prerequisites:

  • Basic understanding of deep learning concepts
  • Basic knowledge of language modeling and Transformers

    • Why choose CloudThat as your training partner?

    • Specialized NLP and LLM Focus: CloudThat offers expert-led training specifically designed for modern NLP and large language model (LLM) applications, ensuring learners gain relevant and up-to-date skills in generative AI.
    • Industry-Recognized Trainers: Our instructors are certified professionals with hands-on experience in deploying Transformer-based models and building real-world NLP solutions.
    • Hands-On Learning Approach: The course includes practical labs and exercises that allow learners to apply Transformer models to tasks like text classification, NER, and question answering.
    • Customized Learning Paths: Whether you're a beginner or transitioning into NLP from another domain, our training is structured to meet your learning needs and pace.
    • Interactive Learning Experience: Engage in live sessions, discussions, and mentorship opportunities that enhance understanding and retention of complex NLP concepts.
    • Placement Assistance and Career Support: We provide resume reviews, interview preparation, and connect learners with job opportunities in AI and NLP domains.
    • Continuous Learning and Updates: Our course content is regularly updated to reflect the latest advancements in Transformer architectures and LLM applications.
    • Positive Reviews and Testimonials: Trusted by thousands of learners and enterprises, CloudThat is known for delivering high-quality, impactful AI training.

    Course Outline: Download Course Outline

    Certification Details:

      Participants who complete the course will receive an official NVIDIA Deep Learning Institute Certificate of Completion for Introduction to Transformer-Based NLP.

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    Course ID: 26339

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    FAQs:

    No, but a basic understanding of deep learning and Transformers is recommended.

    The course uses pre-trained Transformer-based LLMs and provides access to NVIDIA DLI resources.

    Yes, upon successful completion, you will receive an NVIDIA DLI Certificate of Completion.

    The course is priced at $30.

    This course is a great starting point for roles in NLP engineering, AI development, and data science with a focus on language models.

    Enquire Now