Artificial Intelligence and Applied Gen AI Certification in Dubai

90 hours of Full-Stack AI, Gen AI & Agentic Systems training program

Globally recognised industry-standard AI certification

Neural networks expertise using Automation Sandboxes

30+ Modules | Capstone Projects | Real-World Deployment

Flexible learning options with easy instalments

4.8/5

3245 Enrolled

Overview

What will you learn from us:

Mastering Python, LangChain, RAG and TensorFlow for deep learning model development in 90 hours training
Building natural language processing models for real-world applications like chatbots
Implementing reinforcement learning techniques using Q-learning and policy optimisation
Developing Generative AI projects using GANs, Transformers, and diffusion models
Applying AI to business scenarios with tools like Power BI and Flask
Optimising complex neural network architectures through advanced backpropagation and hyperparameter tuning for maximum accuracy
Designed to prepare professionals for production-ready AI roles
Consists of 5 learning levels: Foundation → ML → DL → GenAI → Agentic AI

Learning Objectives

Upon finishing the training, you will be able to:

Master deep learning techniques using TensorFlow, Keras, and Python for advanced AI applications

Design and deploy NLP models using Python for real-world tasks like sentiment analysis

Build and optimise Generative AI models using GANs, Transformers, and diffusion models

Implement reinforcement learning algorithms for problem-solving and decision-making in complex scenarios

Develop AI-driven business solutions with Power BI, Flask, and machine learning model integration

Gain hands-on experience with real-world projects, from chatbots to predictive models

Ready to get started?

Overall ratings by our students

Upcoming sessions

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

Python syntax, variables, data types
Conditional statements and loops
Functions and lambda functions
Lists, tuples, dictionaries, sets
Automating data workflows

Jupyter/Colab usage
NumPy arrays and indexing
Vectorized operations
Matrix transformations
Numerical computation workflows

Data loading and cleaning
Handling missing values
Data merging
Data transformation
Dataset preparation workflows

Statistical measures
Distribution analysis
Probability rules
Normal and binomial distributions
Business data interpretation

Central Limit Theorem
Confidence intervals
t-tests, chi-square, ANOVA
A/B testing
Decision-making using statistics

Histograms and bar charts
Boxplots and heatmaps
Correlation analysis
Visualization best practices
Dashboard-ready charts

Feature engineering
Scaling and encoding
Outlier detection
Data exploration workflows
Pattern identification

ML types and workflows
Model training and evaluation
Performance metrics
Model validation
Business ML applications

Linear regression
Logistic regression
Model interpretation
ROC-AUC and confusion matrix
Prediction systems

Decision trees
Random forests
KNN algorithm
Model tuning
Predictive modeling use cases

K-means clustering
Hierarchical clustering
PCA
Feature reduction
Segmentation models

Data integration
Power Query transformations
DAX calculations
Dashboard building
Business reporting

Model export and integration
Dashboard automation
Predictive analytics visualization
Business intelligence workflows
Data storytelling

ANN concepts
Activation functions
Forward and backward propagation
Keras implementation
Model design

TensorFlow and Keras
Loss functions and optimizers
Overfitting and underfitting
Model tuning
Trainer workflows

Text preprocessing
Tokenization and lemmatization
Vectorization techniques
NLP workflows
Sentiment analysis

Logistic regression and Naive Bayes
Word embeddings
Classification models
Text categorization
Model evaluation

Image processing
CNN architecture
Transfer learning
Model storage
Deployment basics

Flask and FastAPI
REST API development
Model deployment
Integration workflows
Production considerations

RL concepts
Q-learning
Agent-environment interaction
Exploration vs exploitation
Simulation models

Self-attention mechanisms
Transformer architecture
BERT vs GPT
Positional encoding
Text generation

GAN architecture
Generator and discriminator
GAN variants
Image generation
Model training

Diffusion process
DDPM
Tools like Stable Diffusion
Image generation workflows
Model comparison

GPT and LLM concepts
Prompt engineering
Fine-tuning techniques
Domain-specific models
Chatbot development

LangChain architecture
Retrieval-augmented generation
Knowledge integration
AI pipelines
LangChain architecture

Vision-Language Models
Media generation
Multimodal systems
AI creativity tools
Application design

Multi-agent systems
Autonomous workflows
Decision agents
Task orchestration
AI assistants

Copilot Integration:

Generate agent workflows

Multi-agent collaboration
LangChain dynamic decision agents
Build a simple autonomous assistant

Copilot Integration:

Generate orchestration logic

Task decomposition & planning
Reflex vs learning agents
CrewAI orchestration
Multi-agent workflows

Copilot Integration:

Generate planning logic

LangChain tools (Search, APIs, Zapier)
Agent memory (vector, long-term, summary)
Context retention strategies
Web-aware chatbot systems

Copilot Integration:

Generate tool workflows

Function calling
ReAct prompting
Toolformer concept
Tool-based reasoning

Copilot Integration:

Generate reasoning workflows

Prompt → tools → output orchestration
Guardrails and observability
Evaluation metrics
Production workflows

Copilot Integration:

Generate production workflows

Ethics and bias
Model governance
Deployment platforms
Monitoring and evaluation
Public hosting

Copilot Integration:

Generate governance insights

Participants will build end-to-end AI solutions including data pipelines, predictive models, generative AI systems, and autonomous agents. Projects include employee attrition prediction, sentiment analysis systems, and building autonomous chatbots using LangChain.

The Automation Sandbox enables participants to apply the knowledge gained during the training to their own professional responsibilities and everyday work processes.
This activity encourages participants to examine their existing workflows and identify opportunities to improve efficiency, streamline tasks, and enhance operational outcomes.
Through guided exercises, participants review and analyze their current workflows, identify opportunities for improvement, and redesign processes using structured approaches. They translate their expertise into well-defined workflow structures outlining key steps, decision points, and expected outcomes.
These structured workflows are designed to be easily understood by technical teams, enabling effective automation implementation while bridging the gap between business processes and technical execution.

Frequently asked questions

The Artificial Intelligence and Applied Gen AI Certification in Dubai is a training program that builds skills across Python, data analysis, machine learning, deep learning, NLP, reinforcement learning, and Generative AI.

It empowers you to develop AI-driven solutions for real-world challenges. With hands-on projects using tools like Python, TensorFlow and Power BI, this certification boosts your career by preparing you for high-demand roles in AI, applied GenAI and machine learning across various industries.

After completing the Artificial Intelligence and Applied Gen AI Certification in Dubai, you can pursue the following career paths:

Data Scientist: Analyse complex data to drive business insights
Machine Learning Engineer: Develop and optimise machine learning models.
AI Solutions Architect: Design and implement AI strategies for businesses.
AI Researcher: Advance AI technologies through cutting-edge research.
AI Consultant: Advise businesses on AI solutions and integration.

This Gen AI certification stands out from other AI courses in Dubai by offering a comprehensive curriculum that covers both foundational and advanced AI topics. Our training emphasises practical or hands-on learning with real-world applications, such as building AI-powered dashboards and chatbots, along with Copilot integration across each modules.

On the other hand, many other courses focus primarily on theory. Furthermore, it provides flexible learning options, including self-paced and weekend batches, making it more accessible to professionals with busy schedules.

Throughout the course, you will learn to use essential AI tools such as Python, TensorFlow, Keras, Jupyter/Colab, NumPy, Pandas, Matplotlib, Seaborn and Power BI. You will also work with advanced machine learning techniques like reinforcement learning, Generative AI models (GANs, Transformers), and natural language processing (NLP). Practical experience with these tools ensures you can apply learned concepts to solve real-world problems effectively.

This course also covers Flask, FastAPI, LLMs, Stable Diffusion, LangChain, RAG, vector databases, CrewAI, LangGraph, APIs, Zapier, and agent memory. These tools help you build predictive models, chatbots, GenAI apps, and autonomous AI workflows through practical projects.

No, coding experience is not required. This training program starts with Python fundamentals and gradually builds up to advanced AI and Generative AI concepts. The structured and step-by-step approach ensures that even beginners can comfortably learn and progress throughout the course.

Some comfort with logic, data, or Excel-style analysis can help, but the course develops skills through guided exercises. You will practise report automation, data cleaning, predictive modelling, APIs, and agent workflows, which makes the learning practical-oriented.

The Automation Sandbox is built around your professional reality, not hypothetical scenarios. You bring your own work challenges to the table, and the program helps you transform them into structured, automation-ready solutions. The Automation Sandbox in this training works on these workflows:

Repetitive reporting and data workflows such as weekly sales summaries, performance reports, or data extraction routines that consume significant manual time.
Client and customer-facing processes including onboarding workflows, follow-up sequences, and communication pipelines.
Internal approval and review workflows such as document sign-off chains, procurement requests, or compliance checklists.
Data collection and entry workflows where information is gathered manually from multiple sources.
Operational and resource planning processes such as scheduling, allocation, and forecasting routines that benefit from structured logic, automation triggers, and AI-assisted decision-making.
Cross-functional coordination workflows involving handoffs between teams or departments, where clear process mapping, automation design, and structured documentation can eliminate delays.

With dozens of AI certification programs available today in the UAE, the difference lies in depth, delivery, and real-world impact. Learners Point is built for professionals who want more than just a credential. Here's how Learners Point compares to other institutes:

End-to-end curriculum depth: While most institutes cover either foundational AI or Generative AI, Learners Point delivers both in a single, unified certification spanning 33 modules.
Real-world application over theory: Through dedicated Industry Simulations, Capstone Projects, and the unique Automation Sandbox, that most competing programs simply do not offer.
Practitioner-led instruction: From faculty with active industry experience in AI, Machine Learning, and Generative AI, we ensure the curriculum stays aligned with what employers are actually hiring for right now.
A broader technology stack: We cover not just LLMs but also LangChain, CrewAI, LangGraph, RAG pipelines, vector databases, multimodal AI, and agentic frameworks.
Career-focused outcomes: With structured mentorship, portfolio-building projects, and certification that is recognised by employers across industries.
A learner-first experience: It is designed specifically for working professionals, with flexible scheduling, personalised support, and a collaborative environment.

Upon successful completion of the program in the UAE, participants receive the Artificial Intelligence and Applied Gen AI Certification from Learners Point, approved by KHDA (Knowledge and Human Development Authority – Dubai).

This certification validates practical skills in Machine Learning, Deep Learning, Generative AI, and AI application development, demonstrating industry-relevant expertise in building and deploying AI solutions.

As a mid-level IT professional in the UAE, earning the Artificial Intelligence and Applied Gen AI certification can significantly accelerate your career. It prepares you with practical AI, automation and GenAI skills that are highly in demand across industries in the region. This certification helps you transition from traditional IT roles into more advanced positions focused on AI-driven innovation.

Strengthens your profile with AI and GenAI expertise alongside core IT skills
Opens opportunities in AI engineering, data science and automation roles
Positions you for leadership in AI transformation projects within your company
Enhances your value in the UAE’s fast-growing AI and digital economy

Yes, you can attend the Artificial Intelligence and Applied Gen AI Course in GCC locations apart from Dubai. We offer our training across various GCC locations, which helps you to achieve this certification easily. These regions include: