Equipping Future Innovators with AI, ML, And Agentic Intelligence

Nomu Al Ghurair AI and Machine Learning with Agents Bootcamp

A comprehensive journey into the world of artificial intelligence; starting from data science and neural networks to the latest advancements in generative and agentic AI. This bootcamp equips learners with in-demand skills in Python programming, large language models, and memory-enhanced agentic frameworks like Defy and LangGraph, preparing them to build smart, responsive systems for real-world impact.

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THE IMPORTANCE OF
AI AND INTELLIGENT AGENTS

NO Thriving Business.

AI is at the heart of the UAE’s digital transformation, and talents with the right skills are in high demand. Here's why this program matters:

01

In-Demand Skills: AI and ML are driving innovation across key UAE industries.

02

Next-Gen Tech: Agentic AI is shaping the future of intelligent, autonomous systems.

03

Career Advantage: Build future-ready capabilities aligned with the UAE’s tech vision.

04

Local Impact: Contribute to national growth by becoming a leader in emerging technologies.

The UAE needs talent ready to lead in AI, and this is where your journey starts.

PROGRAM JOURNEY

Acquired Professional
Skills

01

Explain
the stages of the data-science life cycle and its key methods (collection, cleaning, modeling, evaluation).

02

Describe
core AI/ML concepts; supervised, unsupervised, and reinforcement learning—and common algorithms (e.g. linear regression, decision trees, Q- learning).

03

Identify
the architecture and components of transformers, neural networks (MLP, CNN, RNN), and embedding models.

04

Understand
NLP fundamentals: tokenization, embeddings (BoW, TF-IDF, Word2Vec), and evaluation metrics (BLEU, ROUGE).

05

Recall
Python language features: data structures, OOP principles, generators/iterators, and exception-handling patterns.

06

Summarize
Summarize REST vs. GraphQL principles, HTTP methods, status codes, and schema design.

07

Outline
prompt- engineering techniques (zero/few-shot, chain-of- thought, negative prompting) and evaluation strategies.

08

Define
the theory of agentic AI: agent types (reactive, goal-based, utility-based), perception- action loops, and RAG fundamentals.

09

Learn
how to build and deploy AI agents, even without a coding background, using low- code/no-code tools.

10

Understand
what an agent is, how it functions, and how to become an agent developer with or without technical experience.

13

Apply
deep learning techniques in specific projects, focusing on achieving defined objectives.

14

Apply
NLP techniques such as transformers and sequence models in practical applications.

15

Implement
generative models in projects to solve industry-relevant problems.

16

Develop
effective communication skills to work seamlessly with cross-functional teams.

Used Tools

Python

Numpy

Pandas

TensorFlow

LangGraph

Defy AI

Crew AI

Market Jobs

  • 1

    Generative AI Developer, or relevant titles

  • 2

    AI Solutions Architect, or relevant titles

  • 3

    Prompt Engineer, or relevant titles

Enrollment process

01

Click "Apply Now"

02

Complete the Registration Form

03

Take the Technical Assessment

04

Begin Your Free Learning Journey

Program Recap

8 weeks training program

120+ total learning hours

16 live interactive sessions

9+ hands-on tasks and assignments

10–12 hours weekly workload

Arabic delivery with English learning materials

Dedicated support by professional coaches

Employability readiness workshops

ELIGIBILITY CRITERIA

01

Age Range: 18-35 years

02

Nationality: Emirati nationals and
Arab nationalities that live in UAE

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