What Will You Learn?
Build agents that collaborate in complex workflows, integrating external tools and using different models to handle specific tasks efficiently. Learn to evaluate and enhance your agents by conducting performance tests and providing human feedback to train and optimize their performance. Create multi-agent systems to automate tasks, such as project planning, lead scoring, data reporting, and large-scale content creation."jjj"
About This Course
Provider: Coursera
Format: Online
Duration: 2 hours 43 minutes to complete [Approx.]
Target Audience: Beginner
Learning Objectives: In this course, you will build several practical apps like an automated project planning system, lead-scoring and engagement automation, support data analysis, and content creation at scale.
Assessment and Certification: NA
Instructor: Joe Moura
Course Prerequisites: Anyone who has basic Python knowledge and wants to build complex and practical multi-agentic systems.
Key Topics: Learn about Application Deployment, Tool Calling, Model Deployment, Large Language Modeling, AI Workflows, Automation, LLM Application, CrewAI, Generative AI Agents, Agentic Systems, AI Orchestration, Model Evaluation, and Agentic Workflows.
Topic Covered:
- The main building blocks—tasks, agents, crews—that go into creating these multi-agent systems, and all the different things that make them work, such as caching, memory, and guardrails.
- How to integrate your multi-agent application with internal and external systems.
- How to connect multiple agents in complex setups, including parallel, sequential, and hybrid setups, and how to create flows that involve multiple crews working together.
- How to test your crew by measuring key metrics and train it using human feedback to optimize its performance for better and more consistent results.
- How to work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task.
- How to start a project from scratch in your environment, and prepare it for deployment.
- Bonus Interview with Jacob Wilson, the Commercial GenAI CTO at PWC: Learn about deploying agentic workflows in real industry use cases.
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