Agentic AI Course

Agentic AI Brochure Course

Welcome to the Agentic AI Course, a transformative learning experience designed to empower you with the skills and knowledge needed to navigate the rapidly evolving landscape of artificial intelligence.

This course is tailored for individuals who are eager to architect, build, deploy, and monitor agents and agentic systems using engineer-focused tools.

Throughout the course, you will engage in hands-on projects that simulate real-world challenges, allowing you to apply theoretical concepts in practical settings.

Our project-based learning approach ensures that you not only learn the fundamentals of AI but also gain valuable experience that will set you apart in the job market.

Conditions préalables :
  • Avoir une connexion Internet stable.
  • Avoir un ordinateur ou une tablette.
Profitez Maintenant!

Course Highlights

Strong Portfolio

Build a professional-quality technical portfolio - for your boss or for a recruiter or yourself!

Get Peer Reviewed

Take confidence in your work and learn from others through peer reviews.

Choose Your Tools

Unlike corporate courses that push their tools, we let you choose whatever you want to use.

Fully Hands-on

Engineers like coding, not 40 hours of lectures, so in this course, you will spend 90% of your time building agents!

Duration

  • Full-time: Complete the course in just 3 weeks. This intensive format is ideal for those who can commit 40 hours per week to their studies.
  • Part-time: Balance your studies with other commitments over 6-8 weeks, requiring 15-20 hours per week. This format is perfect for working professionals or students who wish to further their education without sacrificing their current roles. The part-time option allows you to absorb the material at a manageable pace while still engaging in meaningful projects.

Format

  • This course is run fully on-site, fully remotely, or in a hybrid manner. Please check online or with your local Qwasar partner for options available.

Workload

  • 4 Small Projects: These projects are designed to reinforce your understanding of key concepts and force you to plan your agent(s) before you begin building. You will work individually or in small groups, fostering collaboration and peer learning.
  • 3-5 Larger Projects: These comprehensive projects involve building multiple single- and multi-agent systems. Projects building upon each other, starting simple then growing in size and complexity. These tend to be portfolio projects to show recruiters.

Curriculum

The curriculum is split into two parts :

  • Single agents.
  • Multi-agents.
This course is tailored for individuals who are eager to architect, build, deploy, and monitor agents and agentic systems using engineer-focused tools.

We focus on various aspects of building a single agent, before increasing the complexity to multi-agent systems. First we cover agent tools, access and permissions, monitoring, evaluation, performance, and more.

Then we add multiple agents, increasing the complexity of all of the above.

Tools You Can/Will Use

Agent Building

Google Vetex, Microsoft AutoGen, Relevance.ai, Crew.ai, LangChain, LangBase, NVIDIA, Apache AirFlow, Zalipso, Zenity, DeepKeep, PineCone and other vector DBs, Docker, Kubernetes, Kafka, RabbitMQ, AWS Cognito, HuggingFace Transformers, Weaviate.

Agent Monitoring

Prometheus, Grafana SumoLogic, ELK Stack, etc....

Agent Evaluation

LangChain Benchmarks, PromptBench, OpenAI Evals, AutoGen Evaluation Suite, etc...

Agent Performance

Coval, Arize, LangSmith, Agentops.ai, InvariantLabs, HoneyHive, Fiddler, etc...

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