Generative AI

Generative AI

Teacher
saran kumar
Category
Regular Track
Duration Time
30 weeks

about the course

Artificial intelligence stands out for its ability to revolutionise businesses by automating tasks, optimising processes and unlocking new possibilities for innovation. As AI evolves and integrates into our daily lives, understanding its potential and limitations is important for individuals and businesses.

LearninGT by Grant Thornton Bharat is pleased to launch its ‘Certificate in Generative AI’ to equip professionals working in different domains with a deep understanding of generative AI and its practical applications in the modern business landscape.



Why join the Generative AI course?

  • ✓ To master the art of prompt engineering and effectively communicate with AI systems
  • ✓ To apply generative AI tools within Microsoft 365 to enhance productivity and creativity
  • ✓ To leverage artificial intelligence for planning and advanced analytics
  • ✓ To integrate artificial intelligence into existing systems and automate routine tasks





Who should attend?

  • ✓ Business professionals
  • ✓ Tech enthusiasts
  • ✓ CXOs, managers and team leaders
  • ✓ HR and administrative staff
  • ✓ Marketing and creative professionals




Certificate


Duration: 16 hours
Number of Question: 80-100
Format: Multiple choices

Prerequisites


Anyone having interest in Web Designing.
Knowledge of using computer.
Basic internet skills.

Training - Deliverables


Training
Books
CD's
Participation Certificate

Software training duration


Regular Track: 30 weeks
Exam Duration: 3 Hours

Topics Covered


Basics of generative AI:

Module 01: Introduction to generative AI
Module 02: Fundamentals of generative and large language models
Module 03: Applications of generative AI in business


Prompt engineering and ChatGPT:

Module 01: Understanding prompt engineering
Module 02: Advanced prompt engineering strategies
Module 03: Fine-tuning and customisation techniques


Task automation and productivity improvement using generative AI:

Module 01: Overview of workflow automation
Module 02: Creating task bots using UiPath StudioX
Module 03: Document management using generative AI


Building content with generative AI:

Module 01: Creating presentations, process maps and managing workflow
Module 02: Campaign creation, optimisation and lead generation
Module 03: Using Copilot for use cases beyond text generations


Generative AI in software engineering:

Module 01: Introduction to generative AI in software development
Module 02: Automated code generation
Module 03: Testing and debugging with generative AI


Generative AI in job hunting, resume building and LinkedIn profile optimisation:

Module 01: Building applicant tracking system (ATS)-friendly resume
Module 02: Enhancing LinkedIn profile
Module 03: Leveraging generative AI in job search


Ethics of using generative AI:

Module 01: Understanding ethical considerations of using generative AI
Module 02: Privacy and security implications
Module 03: Responsible use and mitigating bias