Learn End-to-End Generative AI with Real-Time Projects

Categories: Featured, Generative AI, LLM
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About Course

This course is meticulously designed to delve into the practical aspects of Generative AI and NLP through hands-on real-time projects. Each session seamlessly integrates theory with practical exercises, ensuring a holistic learning experience. Throughout the course, you’ll explore essential NLP concepts, various models including LLM open-source models, and implementation using the Hugging Face library. Additionally, you’ll delve into advanced techniques such as RAG, Prompt Engineering, Fine-Tuning, API development, testing, and Cloud deployment. Gain a comprehensive understanding of these emerging technologies and their applications in the real world.


Why choose this course? 

Tailored Learning: Designed for all levels, this course simplifies complex topics for beginners while offering valuable insights for those with prior knowledge.

Hands-On Experience: Engage in practical exercises, like building your own Generative AI chatbot, to gain real-world skills applicable across industries.

Industry-Relevant Content: Explore how Generative AI impacts various sectors through real-world case studies, staying updated on current trends.

Expert Guidance: Benefit from the instructor’s deep expertise in AI and Generative AI, receiving personalized guidance throughout the course.

Ethical Focus: Delve into the ethical considerations of AI and anticipate future trends, empowering responsible decision-making.

Continuous Support: Enjoy lifetime query support, ensuring prompt assistance whenever needed, even after course completion.



You should have basic knowledge of Python and deep learning basics.

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What Will You Learn?

  • Gain proficiency in fundamental NLP and LLM concepts
  • Implement LLM open source models effectively
  • Utilize the Hugging Face library for AI projects
  • Master advanced techniques like RAG and Prompt engineering
  • Fine-tune models for specific tasks
  • Develop and test APIs for AI applications
  • Understand cloud deployment strategies for AI solutions

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