Deep Learning & Generative Ai – Level 3

Program Duration

55 Hours


Level 3

Prerequisite Course

Advanced Machine Learning & Data Visualization – Level 2

Course Objective

If you have been considering getting into Generative AI & Deep Learning and if you are curious what this field is all about, now is the time to start. Generative AI & Deep Learning jobs are becoming increasingly in demand as ChatGPT  and related technology industries grow. Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data. On the other hand, Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.

With a background in machine learning, you can get a high-paying job as Deep Learning Engineer, NLP Data Scientist, Generative AI expert, OCR expert and various other profiles.

Targeted Audience

  • This course is structured for any undergraduate or job seeker who wants to start his career in Deep learning and NLP, who has some basic understanding of python programming, Machine Learning field.
  • Any working professional with experience in the IT domain
  • Any Fresh graduate or post-graduate looking to secure a career in the IT domain.

Why Join Us

  • Learn Real-Time Natural Language Processing & Image Processing Solutions.
  • Learn Deep Learning & Generative AI in an industrial environment with practical demonstrations and live scenarios.
  • Learn from our experienced and skilled Data Scientists who will be providing training systematically.
  • High-Quality Standard Maintenance in each session delivery.
  • Train on real projects to enhance your skills and make yourself industry-ready.
  • Learn corporate ethics and moral code of conduct.
Sr. No. Topics
  1. Deep Learning introduction
  2. Deep Learning concepts
  3. Deep Learning concepts for generative AI
  4. Generative Learning
  5. Generative Learning Technical concepts
  6. Large Language Models (LLM)
  7. Large Image Model (LIM)
  8. Video and Speech tools
  9. Prompt Engineering
  10. NLP fundamentals
  11. Basic Text Processing with NLTK
  12. SpaCy Overview
  13. Tensor Flow
  14. Fundamentals of Image Processing
  15. Object character detection
 16. Libraries used for OCR

Learning Outcome

  • This Course will make you a Proficient Generative AI Expert and a Deep Learning Engineer.
  • At the end of this course, you will have a solid understanding of Natural Language Processing, Deep Learning, Statics & Generative AI concepts used on Real Projects.
  • You will be able to write PyOCR script to detect objects..
  • Complete understanding of different types of Deep Learning Algorithms with practical demonstration.
  • Practical exposure to various projects to hone hands-on expertise.