GenAI Foundations and AI Agents Development

This advanced course transforms you into an autonomous AI architect who builds intelligent agents that operate like digital team members.

Ritesh Vajariya
Published: Oct 2025
Intermediate
Finance
6 hours
GenAI Foundations and AI Agents Development

Course Overview

Ready to move beyond reactive AI systems to autonomous agents that think, plan, and execute complex tasks independently? Most AI implementations remain limited to simple question-and-answer interactions, missing the transformative potential of truly autonomous AI workers that can reason, collaborate, and solve problems without constant human guidance. 

This advanced course transforms you into an autonomous AI architect who builds intelligent agents that operate like digital team members. You'll master the complete agent development lifecycle using cutting-edge frameworks like CrewAI, implement sophisticated tool integration that enables agents to interact with real-world systems, and design multi-agent orchestration where specialized agents collaborate to solve complex problems. Through intensive hands-on development, you'll create customer support agents with advanced reasoning capabilities, implement agent safety frameworks for production deployment, and build coordination systems that manage multiple autonomous agents working together. 

By the end of this course, you'll confidently deploy agent systems that can handle multi-step reasoning scenarios, coordinate complex workflows between multiple specialized agents, and create customer support automation that rivals human-level service quality. You'll have the expertise to build the next generation of AI workers that are revolutionizing business operations worldwide. 

Step into the future of autonomous AI and become the agent architect that organizations need to build truly intelligent, self-directed digital workers. 

Skills You Will Gain

RAG system development
Vector database implementation
Data pipeline GenAI
Knowledge base AI
Retrieval augmented generation

Course Includes

1k
STUDENTS*
98.9%
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Learning Outcomes (At the end of this program, you will be able to...)

  • Construct robust data processing pipelines that transform raw data into AI-ready formats 

  • Implement advanced RAG architectures with component integration and performance optimization 

  • Develop customer support RAG systems with domain-specific knowledge base management 

  • Apply advanced retrieval strategies including metadata filtering, reranking, and quality enhancement 

Prerequisites

Requires Python proficiency, understanding of databases and data processing, basic machine learning knowledge, and experience with APIs and web services.

Who Should Attend

Data engineers moving into AI, ML engineers focused on data pipelines, software engineers building knowledge systems, and AI/ML specialists implementing RAG solutions.

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

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Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

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Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

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Do you offer refunds?

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.