Description
Grokking AI Applications, Video Edition. This course is an illustrated, hands-on guide that teaches programmers and enthusiasts how to build their own AI applications and systems. The course shows participants how to create AI applications such as chatbots, agents, and personalized systems based on personal data, even without prior experience. Using visual diagrams, concrete examples, and practical implementations, instructor Andrea Di Mauro guides learners through system design and mental models, allowing them to focus on the core structure rather than getting bogged down in basic code and fixing syntax errors. Learners quickly learn how to manage prompts, data, and various application components in a way that achieves desired results. The learning path begins with building a simple chatbot, then moves on to writing standard prompts and improving system accuracy using Retrieval Additive Manufacturing (RAG) technology. To prepare the programs for real-world use, they explore how to connect them to document collections, structured databases, and customer engagement tools. Participants then build their own custom agents, equipping them with tools for data analysis and complex reasoning. Julian Poh, a reviewer at TutWorks, says that the emphasis on multi-agent coordination is in line with modern engineering best practices. Step-by-step instructions, rich diagrams, and process summaries help people navigate even the most advanced topics. To emphasize conceptual and design thinking, projects start with the LangFlow low-code development tool, and for those interested in delving deeper, all examples are provided with complete, annotated Python code. Learners see the behind-the-scenes code, libraries, APIs, and data of each application, and learn practical advice on how to deploy and monitor them. This comprehensive program is tightly structured and uses concrete, real-world scenarios to elevate people’s thinking from a simple chatbot to designing multi-agent AI teams with specialized roles.
What you will learn
- Implementing low-code examples using LangFlow and Kname tools
- Understanding the main mechanisms of additive manufacturing technology, recovery, agent structures, and prompt engineering
- Building applied artificial intelligence projects including various chatbots and reasoning agents
- Effectively manage data and application components to achieve optimal results
This course is suitable for people who:
- Programmers and developers who want to learn how to build AI applications
- Curious people at all levels who are interested in learning about AI technologies
- Those who want to build intelligent systems without the need for advanced Python knowledge and with the help of visual and low-code tools.
- Engineers and professionals seeking to master the design of multi-agent systems and artificial intelligence architecture
Grokking AI Applications, Video Edition Course Details
- Publisher: Oreilly
- Instructor: Andrea De Mauro , Ines Schweigert
- Training level: Beginner to advanced
- Training duration: 6 hours and 55 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.0 GB