Applied AI Agent Engineer
Completed by Venkata Satya Praneeth Tamvada on September 15, 2025
Verified learner ·
Badge ID: PTwfG6ZxSum8HxumcWrpUw
About this Badge
Gain practical skills to design, build, and deploy intelligent agents using cutting-edge frameworks and techniques. Learn to create AI-powered applications that can automate tasks, analyze data, and interact with the world.
Learning objectives
- Develop Python-based AI agents using core architectural principles and GAME components for efficient problem-solving and real-world system interaction.
- Implement agentic RAG frameworks to build research agents capable of tool use, reasoning, and decision-making across multiple documents.
- Create multi-agent systems using AutoGen to enable collaboration and role differentiation for complex task accomplishment.
- Apply LangChain and RAG technologies to develop AI agents with advanced prompt engineering and in-context learning for LLM-based applications.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI Agents
- Large Language Modeling
- Natural Language Processing
- Artificial Intelligence
- Software Design Patterns
- Generative AI
- Software Development Tools
- Agentic systems
- Prompt Engineering
- ChatGPT
- Interoperability
- OpenAI
- Debugging
- Prototyping
- Design Strategies
- Application Development
- Software Documentation
- Systems Integration
- Document Management
- File Management
Learning content completed
Some of the content and skills presented have been contributed by the content provider.