Creating Production Ready AI Agents
4 weeks
·Cohort-based Course
Build agents using the latest llm's - solve business problems e.g. build agentic rag system or build hyperpersonalisation marketing agent
Creating Production Ready AI Agents
4 weeks
·Cohort-based Course
Build agents using the latest llm's - solve business problems e.g. build agentic rag system or build hyperpersonalisation marketing agent
Course overview
Instant transformation to become an effective data scientist.
Drastically improve your marketability - to get the best AI job in the market applies to both students and seasoned professionals.
Make an impact in your current work streams and organisations by automating with agents - we will discuss bunch of use cases applicable across various industries.
Be at the forefront of the innovation - latest and greatest of what's happening in Gen AI / Agentic AI.
Broaden your network with like minded people from the industry.
This course is for aspiring / experienced data scientist / data engineers / programmers - who want to be at the forefront of building agents
01
Technical expert : Data Scientist, engineers and programmers
02
Marketers / Use case owners
03
Director / Head of Data Science / Managers
Prerequisites
Passion for building agents and applying Gen AI
Foundational knowledge of Math and Statistics is useful
Core concepts of data science and programming
What you’ll get out of this course
Review the fundamental concepts of LLM's, Gen AI and Agentic AI.
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Building a context aware - search engine to help you do hyper personalisation
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Building an agentic rag system to access internal documents instantly with expernal search capabilities
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
Industry applications / use cases implementation and role in responsible ai
Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.
What’s included
Live sessions
Learn directly from Bilal Farooq in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
7 live sessions • 2 lessons
Week 1
Oct
7
Week - 1
Tue 10/77:00 AM—8:30 AM (UTC)
The foundational knowledge for llms/gen ai/ agentic ai
Week 2
Oct
14
Week 2
Tue 10/147:00 AM—8:30 AM (UTC)
Building your first Agent + Lets Learn about Prompt Engineering
Week 3
Building a full stack search engine
Oct
21
Context Engineering + Travel Agent
Week 4
Building a reAct agent, with RAG and memory
Oct
28
Session 4
Week 5
Industry application / use case implementation and our role in Res AI
Nov
4
final session
What students are saying
What people are saying
Author name
Author name
Meet your instructor
Bilal Farooq
Bilal Farooq
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Creating Production Ready AI Agents
Course schedule
4-6 hours per week
Tuesdays
6:00pm - 7:00pm AEST
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Julyl 29, 2025
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Weekly projects
2 hours per week
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Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
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