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[Web Browser Content] Multi AI Agent Systems with crewAI Course Syllabus: - Introduction (3m) - Overview (11m) - AI Agents (8m) - Create agents to research and write an article (15m) - Key elements of AI agents (11m) - Multi agent customer support automation (18m) - Mental framework for agent creation (3m) Welcome back, Michael Merlino! Transcript snippet: 'Welcome to Multi AI agent systems with CrewAI, built in partnership with CrewAI and taught by its founder and CEO, Joäo Moura. Multi agent workflows let you break down the complex tasks into subtasks that can be executed by agents, each of which plays a particular defined role.'

[SUGGESTED_QUERY] Joäo Moura crewAI agentic workflows

[SUGGESTED_QUERY] DeepLearning.AI Multi AI Agent Systems with crewAI course

Speaker 1: This is the last step. Speaker 2: This is the hardest. Speaker 3: As you know, the Oscars are this week and we have a wonderful opportunity. First of all, congratulations to the entire place first. This is going to be great. I'm so excited to...

description and to perform financial analysis and also to perform event planning.

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[Web Browser Content] Sign in with Google Choose an account to continue to DLAI - Learning Platform Michael Merlino (mike@merlinomarketing.com) Mikey Botz (mikeybotzmerlino@gmail.com) Michael Merlino (team@merlinomarketing.com) CTR Geeks (info@ctrgeeks.com) CTR Geeks DFY (dfyctr@ctrgeeks.com) Michael Merlino (mike@greengridgoblins.com) Kaboom SEO (mike@kaboomseo.com) Mike M (michaelmerlin02020@gmail.com) Kaboom SEO (support@kaboomseo.com) Use another account

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Speaker 1: Thinking about your career. Speaker 2: I'm just ready to have like more responsibility. Speaker 1: But we had already learned that the fashion industry had tough competition. She's not telling Emily what it takes to be a team leader. Speaker 3: And you can take the other girls down. They're going to go. Speaker 4: What do you really want to do?

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[Web Browser Content] Multi AI Agent Systems with crewAI - DeepLearning.AI Instructor: Joäo Moura What you'll learn: Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language. Use the open-source library, crewAI, to automate repeatable, multi-step tasks like tailoring a resume or event planning. Course Details: - Beginner level - 2 hours 41 mins - 18 Video Lessons - 7 Code Examples - 1 Graded Assignment Key Concepts: - Role-playing: Assign specialized roles to agents - Memory: Short-term, long-term, and shared memory - Tools: Assign pre-built and custom tools - Focus: Task breakdown and assignment - Guardrails: Handling errors and hallucinations - Cooperation: Series, parallel, and hierarchical task execution Course Syllabus: - Introduction - Overview - AI Agents - Create agents to research and write an article - Key elements of AI agents - Multi-agent customer support automation - Mental framework for agent creation

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[SUGGESTED_QUERY] Multi AI Agent Systems with crewAI course

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[Web Browser Content] Installation and Usage uv pip install crewai If you want to install the 'crewai' package along with its optional features that include additional tools for agents, you can do so by using the following command: uv pip install 'crewai[tools]' Troubleshooting Dependencies 1. ModuleNotFoundError: No module named 'tiktoken' - Install tiktoken explicitly: uv pip install 'crewai[embeddings]' - If using embedchain or other tools: uv pip install 'crewai[tools]' Getting Started with Installation Ensure you have Python >=3.10 <3.14 installed. CrewAI uses 'uv' for dependency management. Code Example: src/my_project/crew.py @CrewBase class LatestAiDevelopmentCrew(): @agent def researcher(self) -> Agent: return Agent(config=self.agents_config['researcher'], verbose=True, tools=[SerperDevTool()]) @agent def reporting_analyst(self) -> Agent: return Agent(config=self.agents_config['reporting_analyst'], verbose=True) Telemetry CrewAI uses anonymous telemetry to improve the library. Users can disable telemetry by setting the environment variable OTEL_SDK_DISABLED to true.

Tag: python-framework Source: CLOUD_LLM

Website: https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai

Website: https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/

Website: https://www.deeplearning.ai/courses/multi-ai-agent-systems-with-crewai

Website: https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai

Website: https://www.deeplearning.ai/courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai

Website: https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/

[Web Browser Content] CrewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. Repository: github.com/crewaiinc/crewai Key Features: - CrewAI Crews: Optimize for autonomy and collaborative intelligence. - CrewAI Flows: Enterprise and production architecture for building and deploying multi-agent systems. - Tracing & Observability: Monitor and track agents in real-time. - Unified Control Plane: Centralized platform for managing and scaling workflows. - Seamless Integrations: Connect with existing enterprise systems. Getting Started: - Setup and run your first CrewAI agents by following the tutorial. - Learn through courses at learn.crewai.com. About: - Fast and Flexible Multi-Agent Automation Framework. - Built from scratch, independent of LangChain. - Over 100,000 developers certified.

Website: https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-cre...

Website: https://github.com/crewaiinc/crewai#crew-control-plane-key-features