Course / Course Details

Generative AI applications

  • Gayathri Perumal image

    By - Gayathri Perumal

  • 0 students
  • N/A
  • (0)

Course Description

  • This course provides a practical introduction to Generative AI applications and how they are transforming industries. Learners will explore how Generative AI creates text, images, audio, video, code, and intelligent conversational experiences. The course covers popular AI tools, real-world use cases, prompt engineering basics, automation workflows, ethical considerations, and hands-on application development. It is designed for beginners, professionals, creators, and business users who want to leverage Generative AI for productivity, creativity, and innovation.

Course Outcomes

  • Understand the fundamentals of Generative AI and its core concepts
  • Identify different types of Generative AI applications and use cases
  • Create AI-generated content including text, images, audio, and code
  • Use prompt engineering techniques for better AI outputs
  • Build AI-powered chatbots and virtual assistants
  • Apply Generative AI tools for business automation and productivity
  • Explore AI applications in marketing, education, healthcare, and software development
  • Understand ethical AI practices, limitations, and responsible usage
  • Integrate Generative AI tools into daily workflows and projects
  • Develop practical Generative AI solutions for real-world problems

Course Curriculum

  • 1 chapters
  • 40 lectures
  • 0 quizzes
  • N/A total length
Toggle all chapters
1 BioGPT 360DigiTMG
23.24 Min


2 LLM and Benchmarks Part 1 360DigiTMG
28.07 Min


3 LLM and Benchmarks Part II 360DigiTMG
29.09 Min


4 Evaluating the Performance of LLMs 360DigiTMG
23.41 Min


5 Fine Tuning Large Language Models LLMs 360DigiTMG
38.05 Min


6 Optimizing Large Language Models Tuning Parameters 360DigiTMG
26.45 Min


7 LLM Inference 360DigiTMG
24.2 Min


8 LLM Dataset Collection 360DigiTMG
21.38 Min


9 https://www.youtube.com/live/JVEN92-uY6E?si=GCiICfuN2GstHoPY
25.31 Min


10 Frameworks for Building LLM Applications 2 360DigiTMG
30.14 Min


11 Frameworks for Building LLM Applications 1 360DigiTMG
29.44 Min


12 AI Powered Image Generation Part 5 360DigiTMG
10.39 Min


13 AI Powered Image Generation Part 4 360DigiTMG
34.34 Min


14 AI Powered Image Generation Part 3 360DigiTMG
30.4 Min


15 AI Powered Image Generation Part 2 360DigiTMG
31.24 Min


16 AI Powered Image Generation Part 1 360DigiTMG
31.36 Min


17 Multi Modality Models 360DigiTMG
31.18 Min


18 Model Compression Techniques Part 2 360DigiTMG
30.07 Min


19 Model Compression Techniques 360DigiTMG
31.14 Min


20 LLM Hallucination II 360DigiTMG
29.49 Min


21 LLM Hallucination 360DigiTMG
29.5 Min


22 Hands On with LLMs II 360DigiTMG
34.5 Min


23 Hands On with LLMs 360DigiTMG
31.55 Min


24 LLM foundation models III 360DigiTMG
24.43 Min


25 LLM foundation models II 360DigiTMG
32.25 Min


26 LLM foundation models 360DigiTMG
35.28 Min


27 GPT and BERT 360DigiTMG
29.27 Min


28 History of Chatbots 360DigiTMG
22.43 Min


29 Advance Prompt Engineering III 360DigiTMG
20.21 Min


30 Advance Prompt Engineering II 360DigiTMG
30.1 Min


31 Advance Prompt Engineering 360DigiTMG
29.42 Min


32 Basic Prompt Engineering 360DigiTMG
30.1 Min


33 Vector Database II 360DigiTMG
30.23 Min


34 Vector Database 1 360DigiTMG
30.18 Min


35 Generative AI on AWS Intro 360DigiTMG
32.01 Min


36 Understanding Foundation Models 360DigiTMG
30.19 Min


37 Generative AI Project Lifecycle 360DigiTMG
28.02 Min


38 Generative AI Applications II 360DigiTMG
30.05 Min


39 Gen AI Applications 360DigiTMG
26.56 Min


40 Gen AI Introduction 360DigiTMG
30.38 Min


Instructor

0 Rating
0 Reviews
1 Students
137 Courses

Course Full Rating

0

Course Rating
(0)
(0)
(0)
(0)
(0)

No Review found

Sign In or Sign Up as student to post a review

Student Feedback

You must be enrolled to ask a question