Explore Getting started with agentic AI: Harnessing automation with intelligent agents—covering key concepts, design principles, and a case study on building a billing statement generator! This is the latest community content asset created in collaboration with Dzone and written by Lahiru Fernando.
Lahiru Fernando is a globally recognized expert in automation and artificial intelligence with over 13 years of experience. As a UiPath MVP and AI Ambassador, he specializes in designing intelligent automation and AI solutions that transform business processes. A frequent speaker at global events, Lahiru is passionate about advancing the future of agentic AI and empowering organizations to innovate.
Why is agentic AI a game-changer for developers? It’s not just another buzzword – it’s a powerful fusion of advanced AI and traditional automation that’s going to make your code smarter.
Imagine creating autonomous agents that could tackle complex, unstructured tasks without constant handholding. That’s what agentic automation brings to the table. We’re talking about agents that can:
- Make decisions on their own
- Set and pursue goals
- Solve problems proactively
- Adapt to new situations on the fly
- Learn and improve continuously
Agentic AI and automation bring new ways to build more efficient, scalable systems. Here are some key components:
- Data sources and integration: Your agents will be data-hungry, so you’ll need to set up robust pipelines.
- Intent recognition and decision making: This is where the magic happens – your agents will understand and act on complex inputs.
- Memory and context management: No more stateless interactions. Your agents will remember and learn.
- Feedback loops and self-improvement: Build agents that get better over time.
- Dynamic task orchestration: Coordinate complex workflows with ease.
You can start experimenting with a practical case study: Building a billing statement generator that is covered in detail.
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