Artificial Intelligence Courses

AI training from foundation to enterprise development

AI-integrated learning with practical applications

Learn in person in Dubai or join 100% live sessions across the GCC

Hands-on workshops, labs, simulations & real-world AI projects

Easy and flexible payment options across our AI courses

4.8/5

4595 EnrolledEnrolled Learners

4.8/5

4595 EnrolledEnrolled Learners

Overview

What our training includes

Understand core AI, Machine Learning, Deep Learning, Generative AI and Agentic AI concepts
Use AI assistants and better prompts to handle everyday work more efficiently
Learn Python, data analysis and statistics through practical AI applications
Explore Generative AI, RAG, agents and their uses across different industries
Learn to build, integrate and deploy AI solutions using APIs, dashboards, business intelligence tools and modern frameworks

Upcoming sessions

Curriculum

Introduction to AI and Historical Development

Ethical and Legal Considerations

Enablers of AI

Finding and Using Data in AI

Using AI in Your Organisation

Future Planning and Impact: Human Plus Machine

Exam Preparation and Technique

AI Foundations & Landscape

Using Claude.ai as an AI Assistant

Python Essentials for Data Analysis

Jupyter NumPy Fundamentals

Data Handling with Pandas

Descriptive Statistics & Probability

Hypothesis Testing & Inference

Data Visualization with Matplotlib & Seaborn

Exploratory Data Analysis (EDA)

Introduction to Machine Learning

Regression Models

Tree-Based Models & KNN

Clustering & Dimensionality Reduction

Power BI for Data Science

ML + Power BI Integration

Introduction to Neural Networks

Training Neural Networks

NLP Fundamentals

NLP Classification

Convolutional Neural Networks (CNNs)

Model Deployment & APIs

Reinforcement Learning Foundations

Transformers & Attention

Generative Adversarial Networks (GANs)

Diffusion Models

LLMs & Fine-Tuning

LangChain & RAG

Multimodal AI Applications

Agentic AI Systems

Multi-Agent Systems & LangChain Agents

Planning with CrewAI & LangGraph

Tool Integration + Memory + Context Switching

Function Calling + ReAct + Toolformer

Autonomous AI in Production

Responsible AI & Deployment

Foundations of Agentic AI

Agent Architecture & Design Patterns

LLM Foundations for Agents

Tools & Function Calling

Knowledge, Memory & Context Management

Frameworks & Low-Code Platforms

Multi-Agent Systems & Interoperability

Evaluation, Testing & Debugging

Security, Safety & Governance

Deployment, Operations & Capstone

Generative AI Fundamentals for Business

Prompt Design & Conversation Management

Reusable Prompt Libraries & Agent Configuration

Drafting & Analysing Business Content with AI

Workflow Assessment & AI-Enabled Redesign

Output Verification, Responsible AI & Governance

AI Strategy, Business Case & ROI

AI Adoption, Change Management & Capstone

Meet your Trainer

Our Expert Instructors

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

Learning Outcomes

Upon completion, you will be able to

Interpret AI technologies and identify suitable applications across business functions

Apply prompt engineering and AI assistants to improve research, content, analysis and workplace workflows

Prepare, analyse and visualise data using Python, NumPy, Pandas and statistical techniques

Build and assess machine learning and deep learning models for practical problems

Design AI agents that use tools, memory and connected workflows

Make informed AI decisions while considering risks, governance and responsible use

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Frequently asked questions

Learners Point offers four AI courses designed for different levels of learning, technical backgrounds, and professional needs:

They cover practical AI use, foundational concepts, Machine Learning, Generative AI, and advanced agent development.

Yes, but the right program depends on your prior knowledge and learning goals.

The Artificial Intelligence Foundation course has no mandatory prerequisites and suits professionals at different career levels
The AI Automation Workflow program is** designed for non-technical professionals with basic AI awareness**
The Certification in Artificial Intelligence and Applied Gen AI builds technical skills in Python, data, Machine Learning, and Generative AI
Agentic AI Design and Development requires knowledge of Python, APIs, and basic LLM applications

The programs cover Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, NLP, RAG, Agentic AI, Python, data science, Business Intelligence, AI deployment, security and responsible AI. Depending on the program, learners can also explore agent frameworks, memory, function calling, multi-agent systems and enterprise AI operations.

Yes. The AI programs include hands-on exercises, workshops, simulations, case studies, and practical projects. Depending on the course, learners may work on Python coding, Machine Learning models, Generative AI solutions, RAG applications, AI workflows, and enterprise deployment scenarios.

Yes. In-person training is available in Dubai, while 100% live instructor-led sessions are also available for learners across the GCC.

The Certification in Artificial Intelligence and Applied Gen AI and Agentic AI Design and Development are suited to more technical learning needs. They cover areas such as Python, Machine Learning, Generative AI, RAG, AI agents, APIs, deployment, and enterprise AI workflows.

Yes. The advanced AI programs cover Agentic AI and autonomous workflows, with topics such as RAG, agent frameworks, memory, tool integration, and multi-agent systems. The Agentic AI Design and Development program goes further into agent architecture, evaluation, testing, security, governance, and deployment, helping technical professionals build and manage agent-based AI solutions.

Yes. The Certification in Artificial Intelligence and Applied Gen AI covers Python, data processing, statistical analysis, and Machine Learning, including model development, training, and evaluation. Learners also work with predictive models through practical exercises and business-focused projects. The Artificial Intelligence Foundation course introduces Machine Learning concepts at a foundational level.

Learners Point AI courses are designed to build practical skills that can be applied across technical, business, and strategic roles, including:

AI Adoption: Apply AI tools to improve workplace productivity, workflows, and decision-making
Prompt Engineering: Create effective prompts for research, automation, content generation, and business tasks
Data Analysis: Analyse datasets and apply statistical techniques to support business insights
Python Programming: Use Python for data processing, machine learning, automation, and AI development
Machine Learning: Build, evaluate, and optimise predictive models for practical business applications
Generative AI: Develop LLM-powered applications, RAG solutions, and intelligent content workflows
Agentic AI: Design autonomous agents and workflows to automate business processes intelligently
Business Intelligence: Create dashboards and integrate AI insights into business reporting and decision-making
AI Deployment: Develop and deploy scalable AI solutions for enterprise environments
Responsible AI: Apply governance, risk management, security, and responsible AI practices