Does this sequence make sense for someone transitioning into AI Solutions Architecture?

Hi!

Does this sequence make sense for someone transitioning into AI Solutions Architecture?

Course 1: AI for Everyone

COURSE 2: Generative AI for Everyone

COURSE 3: ChatGPT Prompt Engineering for Developers

COURSE 4: LangChain for LLM Application Development

COURSE 5: LangChain: Chat with Your Data

COURSE 6: Building Systems with the ChatGPT API

COURSE 7: AI Agentic Design Patterns with AutoGen

COURSE 8: Building Agentic RAG with LlamaIndex

COURSE 9: Multi AI Agent Systems with CrewAI

COURSE 10: AI Agents in LangGraph

AWS AI Practitioner: Full Study Programme

Thanks!!!

Yes. It definitely does, I would recommend you Introduction to AI with Python, the Mcahine Learning Specialization before the AWS AI Practicioner, as most of the modern AI is built over ML.

Solid roadmap. You need hardcore hands on as well. You can get quick no-setup hands on with multi agent systems visually in a browser based canvas here at AgentSwarms, once done next step is to dive deep into cloud specific hands on workshops because to run agentic ai on production you need identity, runtime, observability and a bunch of other managed services : Amazon Bedrock Agentcore Workshop . Make sure to check failure mode labs and evaluation as these are the most important topics, you need to keep more control of the flow and let the agent/llm to the minimum work needed.

Thank you very much for your suggestions!

Thank you for your response!

Thanks, that is interesting.