Agentic AI Course for Engineers

A fully remote, community-focued Agentic AI course for experienced engineers and developers.

Build the Future With Our Agentic AI Course

Qwasar’s Agentic AI course is a groundbreaking, fully hands-on course designed for learners ready to dive deep into the world of AI agents and intelligent systems. In this course, you’ll build multiple real-world projects using large language models, vector databases, autonomous agents, and cutting-edge AI frameworks.

Unlike lecture-based courses, our course is 100% project-driven. You’ll gain practical experience in designing, coding, and deploying agentic AI systems that mirror what’s being developed in industry labs today. From autonomous task agents to multi-agent orchestration, you’ll build a robust portfolio while mastering the tools shaping the future of work.

YOU WILL BUILD MULTIPLE SINGLE-AGENT AND MULTI-AGENT SYSTEMS FROM SCRATCH! This is not a lecture-based course!

The course reflects what engineers actually do on the job. If you are looking for a lecture-based course, please try a MOOC such as Coursera or Udemy.

This course is 100% remote.

What to Expect in Our Agentic AI Course

Build Agents and Agentic Systems

Develop autonomous agents, orchestration layers, and multi-agent systems using real code and AI frameworks.

Learn-by-doing Model

Learn by doing—no lectures, no tests. Complete projects that simulate real-world engineering tasks.    

Advanced AI Tools 

Work with tools such as LangChain, Crew.ai, LangFlow, Pinecone, GenAI APIs, mem0, synth, zep, PromptFlow, MLFlow, Grafanas, llamaindex, Gemini, AutoGen, and more.

Attendance at Program Meetings

Program meetings are like standup and pair programming sessions. We help you in the curriculum and participate in the cohort and community.

Agentic AI Course Cost

The total course cost is:

$100/mo part-time, $200/mo full-time

This course qualifies for professional development reimbursement through most employers. If you need documentation or paperwork to access your learning or development budget, we’re happy to provide whatever is required.

What Skills You Will Learn

Intensive Applied Agentic AI Program

Our project-based Agentic AI course is a new pathway into the rapidly growing field of applied AI and autonomous systems. Designed for real-world skill development, the course enables learners to gain hands-on experience with LLMs, agent frameworks, and multi-agent orchestration—skills that are increasingly in demand across industries.

Fundamentals

  • Agent architecture design

  • Logic model selection

  • Orchestration layer concepts

  • Autonomous task planning

  • Understanding memory systems

  • Retrieval-augmented generation (RAG)

  • Embedding-based reasoning

  • Major Agent platforms (Microsoft AutoGen, Google Gemini, etc.)

 

 

Technical Skills

  • API integration and usage
  • Prompt engineering for LLMs
  • Autonomous agent development
  • Multi-agent system planning, architecture, coordination, and communication
  • Credential and identity management for Agents
  • Working with vector databases, and shared Agent memory
  • System diagramming and documentation
  • Agent evaluation - performance on hardware, performance of tasks
  • Agent guardrails
  • Agent security and safety - leaks, access, manipulation, poisoning, etc.
  • Inter-agent communication and performance

Tools

  • LangFlow, LangChain, LangBase,
  • Gemini Platform or AutoGen platform
  • Crew.ai or similar
  • LlamaIndex, Haystack, or similar
  • Apache Airflow, Prefect, or similar
  • PromptBench, OpenAI Evals, NVIDIA Triton Inference Server, similar
  • HoneyFive, Fiddler, InvariantLabs, Langsmith, Coval, Agentops.ai, or similar
  • Calipso, Zenity, Lasso, Lakera, Cyberhaven, DeepKeep, Skyflow or similar
  • MCP, A2A, or other agent-to-agent communication
  • Kubernetes, Docker

Meet Our Program Managers

At the heart of our Agentic AI Course are the Program Managers: experienced engineers, mentors, and leaders dedicated to helping you grow as an AI professional. With diverse expertise across AI, software engineering, and industry applications, they guide you through the program, challenge your thinking, and support your learning every step of the way.
Gabriel

gabriel

An AI expert and software engineer with deep experience in applied machine learning, Gabriel built our Agentic AI curriculum, works on Agents within Qwasar, and loves the combination of software engineering with AI.

 

Jennifer
jennifer

 

Jennifer recently co-taught a course at UC Berkeley Haas School of Business on AI Strategy, Predictive and Generative AI. She also consults on the use of AI for small and medium-sized businesses and automates marketing processes in her spare time.

John
John-600x687

A seasoned software developer and educator, John specializes in helping learners connect technical concepts to real-world challenges. He built our course curriculum for embedded LLMs, RAGs, fine tuning, and applications with AI.

Program Meetings: Your Pathway to Learning and Real-World Readiness

We believe in learning by doing together. Our Agentic AI Course is designed with a dynamic schedule of live, instructor-led sessions, collaborative workshops, and hands-on coding labs that mirror how software engineers and AI professionals work in the real world. Depending on your program format (Full-time, Part-time Evenings, or Part-time Saturdays), you’ll engage in a mix of program meetings that build technical skills, foster collaboration, and ensure you’re ready for the AI-driven future.

Program Meetings Overview

Session Full-Time (Mon–Fri) Part-Time (Tues/Thurs) Part-Time (Saturdays)
Morning Standup Daily at 9:15 AM PST Tues/Thurs at 9:15 AM PST Saturday at 9:30 AM PST
Live Coding Tuesday at 9:30 AM PST Tuesday at 9:30 AM PST –
Qwasar Labs Tuesday at 11:00 AM PST Tuesday at 11:00 AM PST Saturday at 11:15 AM PST
Engineering Case Studies Tuesday at 12:00 PM PST Tuesday at 12:00 PM PST –
Collaborative Coding (Pair Programming) Thursday at 9:30 AM PST Thursday at 9:30 AM PST Saturday at 9:45 AM PST

Why These Sessions Matter

These program meetings aren’t just calendar events, they’re where you’ll practice skills, build confidence, and grow as an AI professional. From live coding sessions that bring theory to life, to collaborative workshops that simulate team environments, every session is designed to help you think like an engineer and build like an innovator.

Whether you choose full-time or part-time, you’ll complete the Agentic AI Course with practical experience, a strong professional network, and the ability to apply AI concepts in real-world scenarios.

Software Engineering Certificate Program

Why Choose This Project-Based Agentic AI Course?

Actually Build Agents & Multi-Agent Systems
No other course actually treats you like an engineer and makes you build stuff - that is the only way to really learn how to build Agents and Agentic systems.

Get Peer Reviewed By Our Team
All projects are peer reviewed (you can peer review stuff too if you want!), just like on the job, so you get feedback on how your system could improve, what could be done differently, etc. This is SUPER valuable feedback.

Earn a Certificate of Completion
Showcase your skills and commitment with a credential backed by Qwasar’s Silicon Valley–standard training.

Build a Real-World AI Portfolio
Complete a series of advanced projects—autonomous agents, orchestration systems, and more—that demonstrate your ability to build complex AI systems.

Gain Deep Technical Proficiency
Develop both breadth and depth in key technologies: LLMs, APIs, RAG pipelines, multi-agent design, secure architecture, and more.

How Can I Be Successful?

This is a hands-on, project-based course that requires consistent, focused time each week. Plan to dedicate 15–20 hours/week part-time or up to 40 hours/week full-time.

The course takes anywhere from 3 to 12+ weeks, depending on your engineering background. Experienced engineers complete projects faster, while newer developers may need more time.

We offer three cohort options:

  • Full-time: Monday–Friday

  • Part-time: Tuesday/Thursday mornings (Pacific time)

  • Part-time: Saturday mornings (Pacific time)

Whichever pace you choose, success comes from showing up, coding regularly, and fully engaging with the course’s real-world agentic AI projects.

Requirements

Learner Requirements
  • Proficiency in Python or a similar programming language
  • Experience with Git, GitHub, and version control
  • Knowledge of object-oriented programming (OOP)
  • Understanding of APIs, protocols
  • Familiarity with containers (Docker, Kubernetes, etc.)
  • Some experience with web scraping

 

Technical Requirements
  • Computer with compatible web browser (Google, Chrome, Firefox, or Microsoft Edge)
  • Stable Internet connection (video interaction is not available offline)
  • Speakers/headphones, microphone, and web-camera to hear audio from a computer
    (videos have subtitles as an alternative)

Why an Agentic AI Course That Makes You Build?

Most Agentic AI content out there explains concepts or shows architectural diagrams—but rarely gets into actually building systems. Yet in real-world software engineering, building is the hard part.

There’s no step-by-step manual for developing complex, multi-agent systems with shared memory, secure credentials, performance optimization, and real-time monitoring. And the biggest blockers? They’re often the undocumented quirks and edge cases that experienced engineers learn by doing.

This is exactly why we created a hands-on course. Companies need engineers who have built real Agentic AI systems—not just read about them. This course gives you the experience to do just that.

Software Engineering Certificate Program

Course Options Available

Remote Part-time Weekday

Tuesdays and Thursdays

6-14 weeks depending on experience

Start Date

 

Remote Part-time Saturdays

Saturdays

6-14 weeks depending on experience

Start Date

 

Remote Full-time Weekdays

Monday - Friday

2-8 weeks depending on experience

Start Date

 

How To Apply

 To apply to our Agentic AI Course, expect the following steps:
 

Step 1: Submit your application online.

Step 2: We review your application.

Step 3: You will be invited to schedule a virtual interview.

Step 4: Following the interview, if accepted, you will be invited to enroll.

Step 5: You will receive an email with a link to the enrollment contract and payment.

Step 6: You complete the enrollment contract.

Step 7: You complete payment.

Following a successful application and enrollment, you will be expected to attend orientation, virtually of course!

 

 

FAQs

What’s the time commitment for this course?
For part-time learners, expect to dedicate 15–20 hours per week. Full-time participants should plan for up to 40 hours per week. This is a hands-on course, and success requires consistent, focused time spent coding and building systems.

How long does the course take to complete?
The course duration varies based on your experience and schedule:

Experience Level Full-Time Duration Part-Time Duration
Staff Engineer (8+ yrs) 2–3 weeks 6 weeks
Senior Engineer (3–5 yrs) 4–5 weeks 8–9 weeks
Junior Engineer (1–2 yrs or strong portfolio) 6–8 weeks 13–14 weeks
Recent Grad (little/no real-world dev experience) 12 weeks 20 weeks

What are the meeting times?
Meetings depend on your chosen track:

  • Full-Time Track: Daily morning standups at 9:15 a.m. PT

  • Part-Time Weekday Track (Tues/Thurs):

    • Standups: 9:15 a.m. PT

    • Live Coding: Tuesdays at 11:45 a.m. PT

    • Pair Programming: Thursdays at 9:45 a.m. PT

    • Engineering Case Studies: Thursdays at 4:00 p.m. PT

  • Part-Time Saturday Track: All sessions start at 9:30 a.m. PT

Can I enroll if I work full-time?
Yes—if you choose the right schedule. The Saturday track is ideal for working professionals. You’ll need to set aside 15–20 hours per week outside your job. We don’t recommend this course if you’re also enrolled in another class or have heavy weekday obligations.

Are scholarships available?
No. This course is designed for working professionals and not currently offering scholarships. However, many learners use professional development budgets from their employers to cover the $1,499 tuition. We can provide any documentation required to support reimbursement or direct employer payment.

Do you support employer-paid enrollment?
Yes. If your employer is funding your participation, we’re happy to work directly with them and provide invoices, course descriptions, or verification documents to support payment through professional development channels.

Do I need to buy textbooks or software?
No. All required tools and learning materials are included in the tuition. You don’t need to purchase any additional software or textbooks.

What kind of computer do I need?
A standard laptop or Chromebook with a reliable internet connection is sufficient. No specialized or high-end hardware is required.

Do I need prior experience in coding or AI?
You should have some programming experience or have completed a fundamentals season in software engineering. This is not a beginner course—it’s designed for learners who are ready to start building real-world AI agents.

 

Questions?

We are here to help! Contact us for assistance or more questions about the Agentic AI course.