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Professional GenAI with Automation – Professional

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AV
Ananya Verma
/
September 19, 2026

Professional GenAI with Automation – Professional

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Generative AI

This advanced course teaches you how to combine Generative AI with automation tools to build intelligent, production-ready systems for real-world business use cases. Covering advanced prompt engineering, AI model integration, workflow automation, and deploying AI-powered agents, this course is designed for professionals who already have foundational AI/automation knowledge and want to build job-ready, enterprise-level GenAI solutions. By the end, you’ll be able to design, build, and deploy sophisticated AI automation systems that solve real business problems.

 

What Will I Learn?

  • Apply advanced prompt engineering techniques including structured outputs and chain-of-thought reasoning
  • Integrate LLM APIs like OpenAI and Anthropic into real applications
  • Manage context, memory, and function calling for stateful AI interactions
  • Design and build autonomous AI agents capable of multi-step reasoning
  • Integrate generative AI into automation platforms like n8n, Zapier, or Make
  • Build complete, end-to-end automated AI workflows for business use cases
  • Deploy and monitor AI automation systems in production environments
  • Apply responsible AI practices to manage bias, hallucinations, and reliability risks
  • Design, build, and present a complete GenAI automation capstone project

Course Content

Advanced Generative AI Concepts
This topic reviews and deepens students' understanding of generative AI at a professional level, setting the foundation for advanced automation work ahead.

  • Recap of LLMs and Generative AI Fundamentals
  • Understanding Model Capabilities, Limitations, and Costs

Advanced Prompt Engineering
This topic goes beyond basic prompting to teach professional techniques for reliably controlling AI model outputs in production systems.

Integrating LLMs into Applications
This topic teaches students how to connect generative AI models into real software systems and workflows using APIs.

Building AI Agents
This topic covers how to design AI agents that can reason, make decisions, and complete multi-step tasks autonomously.

Automation Platforms and AI Integration
This topic teaches students how to combine AI capabilities with automation platforms to build practical, business-ready workflows without extensive custom coding.

Enterprise Use Cases and Deployment
This topic covers how GenAI automation systems are deployed and used in professional, enterprise contexts, including reliability and monitoring considerations.

Ethics, Safety, and Responsible AI
This topic addresses the responsibilities that come with deploying powerful AI automation systems in professional and business settings.

Capstone Project
This final topic lets students demonstrate professional-level skills by designing and building a complete GenAI automation system from scratch.

About the instructor

AV

Ananya Verma

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6 Courses

0 students

Free
Free access this course
  • Intermediate
Durations: 10 hours
Lectures: 19
Students: Max 0
Level: Intermediate
Language:
Certificate:

Material Includes

  • 10 hours on-demand video
  • 1 article
  • 8 downloadable resources
  • Full lifetime access
  • Certificate of completion

Requirements

  • Prior experience with basic AI concepts or automation tools (recommended)
  • Basic understanding of APIs and how they work
  • An API key from an LLM provider (OpenAI/Anthropic) for hands-on practice
  • Willingness to build and test AI automation workflows alongside the lessons

Tags

Audience

  • Professionals who have completed foundational AI or automation courses and want to advance
  • Developers and automation specialists looking to build production-grade AI systems
  • Entrepreneurs and business professionals wanting to build AI-powered automation for their organization
  • AI/ML practitioners looking to specialize in applied GenAI and agent development
  • Anyone seeking a comprehensive, career-ready skill set in AI automation