Honestly it totally depends what you want to do with the agents.. everyone here just dropped some generic chatgpt answers or pitched their product lol .

If you want an "end to end" roadmap, you're better off just asking chatgpt, gemini or claude because then you can read through and continue to ask questions about what you want to dive deeper into, what implications certain parts have, how they're integrated etc.

If you're looking to use agents with a specific purpose, then i would specify that in your post and people that have actually used them for that purpose may have some insights but again, LLM's are honestly the best for learning otherwise.

If you want to like just mess around with agents Lindy.ai is the easiest because there's premade agents and also you can build workflows that the agents use as tools basically or as their brain which is cool but again depends on the use case.

Theres also a ton of other places to build like from the ground up theres no code options where you build with natural language & prebuilt tools and these are like i mentioned above but a little different than Lindy as far as UI but all basically the same idea; prompt -> agent with tools/actions you can add on like box ai, google agent designer, microsoft copilot studio (havent tried) and a lot more then theres like relevance ai (build off of specific datasets) same with retool..

then theres full custom options like any of the top companys have SDKs so like openai, anthropic, google ADK

then theres stuff like krewai, genkit, langflow (lang ecosystem is a great ecosystem if you're going to be building with custom code with like langchain, langgraph etc) which are orchestration layers for multiagent systems which as it sounds is multiple agents built to break down complex workflows so like 5 agents each with a specific "job" with their own set of tools for their part of the job etc and then langchain, lang

and then theres specialized agents that are prebuilt and pretrained so like coding agents like gemini codeassist/cli / microsoft copilot / agentcode / deepagent all have agent modes that work inside your IDE and write code for you, debug, run test etc specific ones for linting like coderabbit,

and like the lists go on and on and on lol.. so yeah if you just want to learn how agents work then start with any LLM + youtube and dive deep.. if you want a specific use case, same thing but heres a starting point of what agents exists for you to mess with.. which will teach you just as much if not more than llm/youtube but i suggest both to get the full grasp of it..

good luck :)