AI Career Residency: From Skills to Impact

20 Weeks

·

Cohort-based Course

This course is a comprehensive, hands-on journey into the world of AI, designed to equip learners with the skills to build & manage AI App

Experience building and lecturing at

HP
Accenture
Dell
Majid Al Futtaim
Microsoft

Course overview

Master AI tools, build real-world projects, and transform into an AI leader



In this course, students will gain hands-on experience with cutting-edge AI tools, frameworks, and methodologies, empowering them to build and deploy real-world applications. From mastering foundational concepts to implementing advanced generative AI models and MLOps pipelines, learners will develop practical skills that are in high demand across industries. With personalized mentorship, collaborative projects, and a strong focus on career outcomes, this course ensures students are fully equipped to excel in AI-driven roles and lead innovation in their fields.


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Who is this course for

01

Aspiring AI Professionals

This course is designed for students, recent graduates, and early-career professionals who want to break into AI a

02

Mid-Career Switchers

Ideal for professionals from adjacent fields such as software engineering, IT, or business analytics who are looking to

03

AI Enthusiasts and Entrepreneurs

Perfect for tech enthusiasts, startup founders, and business leaders who want to integrate AI into their ve

What you’ll get out of this course

Industry Experience: Gain hands-on experience through real-world projects

Gain hands-on experience through projects from top companies. Learn to build AI models, design solutions, and tackle industry challenges, equipping you with the expertise to excel in real-world AI applications.

One on One Mentorship

Work with expert mentors offering tailored feedback, career guidance, and technical advice. Overcome challenges with confidence and accelerate your growth with personalized mentorship throughout the program.

Project-Based Learning: Build a strong portfolio with projects from leading companies

Develop real-world AI projects, from generative AI models to retrieval-augmented systems. Showcase your expertise with a job-ready portfolio designed to catch the attention of top employers globally.

High Employment Rate: Secure jobs and internships with top companies globally.

Secure internships and jobs with global companies. Leverage our alumni network, job-focused training, and exclusive career resources to fast-track your path to a successful AI career.

What’s included

Mohammad Arshad Ahmad

Live sessions

Learn directly from Mohammad Arshad Ahmad 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

Week 1

Jan 17—Jan 18

    MC 00: Essential Prerequisite: Basic Python and What is Gen AI?

    4 items

    Understanding Generative AI

    3 items

    Python Basics

    3 items

    Setting Up Your Environment

    3 items

Week 2

Jan 19—Jan 25

    UI Design Principles

    3 items

    Version Control with Git

    3 items

    Collaborative Projects with GitHub

    3 items

Week 3

Jan 26—Feb 1

    Understanding GROQ

    3 items

    Working with APIs in Python

    3 items

    Building Your First Python App

    3 items

    Completing the 1st Project

    3 items

Week 4

Feb 2—Feb 8

    Understanding Large Language Models (LLMs)

    4 items

    Exploring the LLM Playground

    3 items

    Building Practical Understanding

    3 items

Week 5

Feb 9—Feb 15

    Basics of Generative AI Configuration

    3 items

    Comparing and Choosing LLMs

    3 items

    Hands-On LLM Project Development

    0 items

    Building and Presenting Your 2nd Project

    4 items

Week 6

Feb 16—Feb 22

    Introduction to LLM Wrappers

    3 items

    Managing Function Calls with LLMs

    3 items

    Data Integration Techniques

    3 items

    End-to-End Project: Building an Integrated LLM Solution

    3 items

Week 7

Feb 23—Mar 1

    Introduction to Hugging Face Ecosystem

    3 items

    Building Your Open-Source Project

    3 items

    Contributing to the Open-Source Community

    3 items

    Finalizing and Showcasing Your Project

    3 items

Week 8

Mar 2—Mar 8

    Understanding Retrieval-Augmented Generation (RAG)

    3 items

    Introduction to Llama Index

    3 items

    Building a RAG System with Llama Index

    3 items

    Finalizing and Presenting Your RAG Project

    3 items

Week 9

Mar 9—Mar 15

    Understanding Vector Embeddings

    3 items

    Introduction to Vector Databases

    3 items

    Integrating Vector Databases with Generative AI

    3 items

    Building and Deploying a Vector-Powered AI Solution

    3 items

Week 10

Mar 16—Mar 22

    Deep Dive into RAG Concepts

    3 items

    Advanced Tools and Techniques for RAG

    3 items

    Integrating Advanced RAG with Generative AI

    3 items

    Designing and Deploying an Advanced RAG Project

    3 items

Week 11

Mar 23—Mar 29

    Understanding Tokenization

    3 items

    Preprocessing Data for Fine-Tuning

    3 items

    Tools and Libraries for Tokenization and Preprocessing

    3 items

    Fine-Tuning Ready: Building and Validating the Dataset

    3 items

Week 12

Mar 30—Apr 5

    Introduction to Fine-Tuning LLMs

    3 items

    Parameter-Efficient Fine-Tuning (PEFT)

    3 items

    Exploring Quantized LoRA (QLoRA)

    3 items

    Hands-On Fine-Tuning Project

    0 items

Week 13

Apr 6—Apr 12

    What is Chain of Thought (CoT) Prompting?

    2 items

    Introduction to ReACT Prompting

    3 items

    Understanding and Building AI Agents

    3 items

    Hands-On Project: Building a ReACT Agent

    3 items

Week 14

Apr 13—Apr 19

    Introduction to LangChain

    0 items

    Using Chains for AI Workflows

    0 items

    Agents and Their Applications in LangChain

    0 items

    Building and Deploying Your LangChain Application

    0 items

Week 15

Apr 20—Apr 26

    Introduction to Multi-Agent Systems

    3 items

    Getting Started with CREW AI

    3 items

    Building and Deploying a Multi-Agent System

    3 items

Week 16

Apr 27—May 3

    Building Agent Workflows with LangGraph

    2 items

Week 17

May 4—May 10

    Langchain Advanced

    3 items

    Working on Capstone Project

    0 items

Week 18

May 11—May 17

    Building and Using GitHub

    3 items

    Working on Capstone Project

    0 items

Week 19

May 18—May 24

    Working on Capstone Project

    0 items

    Portfolio Creation and Presentation

    3 items

Week 20

May 25—May 30

    Submission of Final Capstone Project

    0 items

Post-course

    Career and Job Applications

    3 items

What AI Residents are saying

        The AI Residency program has provided me with an incredible opportunity to explore and master AI in a hands-on, practical way. From foundational concepts to advanced models, the journey has been both challenging and rewarding, with real-world applications and personalized mentorship at its core.
Shukri Alnajjar

Shukri Alnajjar

Development Team Lead @ Balanceia Intelligent Applications DMCC | Developing Modules
        The AI Residency Program offers a remarkable opportunity to enhance one's AI expertise, covering everything from foundational concepts to advanced applications. Its carefully crafted curriculum, focused on state-of-the-art AI tools and technologies, combined with immersive hands-on workshops, makes this program truly exceptional.
Safni Usman

Safni Usman

AI Engineering | Machine Learning | Natural Language Processing | Generative AI | LLM
        An unparalleled learning journey! The AI Residency Program gave me a deep understanding of generative AI. The structured curriculum, combined with real-world projects, helped me grasp complex concepts like RAG and fine-tuning with eas
Parvez Alam

Parvez Alam

Data Analytics + Generative AI | Manager Data Analytics | Performance Manager
        Perfect blend of theory and hands-on practice! This program goes beyond lectures—it’s all about applying what you learn. The mentorship and project-based approach made mastering tools like Hugging Face and Deployment an exciting and rewarding experience.
Enrico Rampazzo

Enrico Rampazzo

Senior Software / AI Engineer

Meet your instructor

Mohammad Arshad Ahmad

Mohammad Arshad Ahmad

A Globally recognized expert in AI


With nearly two decades of experience, Mohammad Arshad has successfully enabled businesses to monetize their data and AI products. His technical and strategic expertise has helped 5 of the largest companies in the world, 10 SMEs, and 3 startups build effective Data and AI Strategies.


He founded Decoding Data Science in 2020, a successful AI Strategy consulting practice, and expanded into education in 2022 with the launch of DDS Academy.


Accenture, HP, Dell, LinkedIn, MAF, and other leading companies have recognized Mohammad as a Data Science and Strategy expert since 2005.


Mohammad Arshad has been teaching technical and non-technical audiences since 2008, making him a seasoned mentor and coach in the industry. He has helped 3000+ individuals get their Dream jobs.


Linkedin: 58K + Followers

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Join an upcoming cohort

AI Career Residency: From Skills to Impact

Cohort 9

$2,999

Dates

Jan 17—May 30, 2026

Payment Deadline

Jan 16, 2026

Don't miss out! Enrollment closes in 3 days

Get reimbursed

Course schedule

4-6 hours per week

  • Saturday

    2:00pm - 4:00pm GST

    If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

  • Jan 18, 2025

    Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

  • Weekly projects

    2 hours per week

    Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Learning is better with cohorts

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

A pattern of wavy dots

Join an upcoming cohort

AI Career Residency: From Skills to Impact

Cohort 9

$2,999

Dates

Jan 17—May 30, 2026

Payment Deadline

Jan 16, 2026

Don't miss out! Enrollment closes in 3 days

Get reimbursed

$2,999

USD

3 days left to enroll