Advanced Certification in Applied Gen AI and Agentic Systems in Dubai

Master Generative AI, LLM-based AI Agents & Agentic systems

Learn from instructor-led sessions with real-world applications

Features a vast curriculum with 21 modules & capstone projects

Receive the advanced certificate in Applied Gen AI & Agentic Systems

Work with tools like ChatGPT, LangChain & AutoGPT

Ideal for IT professionals, students & entrepreneurs

Includes practical labs to build multimodal AI applications

Enjoy flexible learning that fits your personal schedule

Affordable payment choices available through instalments

4.85/5

5258 Enrolled

Overview

What will you learn from us:

Master deep learning techniques using Keras and TensorFlow
Build real-world NLP applications with ChatGPT and LangChain
Implement reinforcement learning using Q-learning and Grid-world agents
Develop AI agents using LangChain and AutoGPT frameworks
Create multimodal AI models using GPT-4V and CLIP
Fine-tune domain-specific LLMs for real-world applications

Learning Outcomes

After you complete your training, you will be able to:

Create AI agents with LangChain, AutoGPT and CrewAI designed for practical real-world applications

Master NLP techniques using ChatGPT, LangChain and transformer-based frameworks for advanced language processing tasks

Apply reinforcement learning through Q-learning, PPO methods and Grid-world simulations to solve dynamic problems

Build multimodal AI solutions integrating GPT-4V, CLIP and text-to-image models for innovative outputs

Generate synthetic images and datasets using GANs such as DCGAN and CycleGAN for diverse applications

Deploy autonomous AI solutions utilising CrewAI and LangGraph to deliver real-time intelligent performance

Ready to get started?

Prerequisites

Before enrolling in the Advanced Certification in Applied Gen AI and Agentic Systems in Dubai, the eligibility requirements are as follows:

Applicants should hold a B.E., B.Tech, M.E, M.Tech, M.Sc., MBA, or an equivalent master’s degree with at least 50% marks along with 1 year of professional work experience
Candidates with a BSc, BA, LLB, CA, or BBA must have secured a minimum of 65% marks and possess 2 years of relevant professional experience. For non-engineering graduates, a high school-level mathematics background is mandatory
Programming knowledge is required, with prior coding experience in Python being highly preferred

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.

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

Why deep learning?
ANN structure, activation functions
Feedforward and backpropagation
Build ANN using Keras

TensorFlow 2.x and Keras API
Loss functions and optimizers
Overfitting and underfitting
Train a churn model on tabular data

NLP use cases: chatbots, sentiment, classification
Preprocessing: tokenization, stop words, lemmatization
Vectorization: Bag of Words, TF-IDF
Hands-on: Sentiment analysis

Logistic regression and Naive Bayes
Word embeddings introduction
Build: spam or feedback classifier

CNN layers: filters, pooling, convolution
Applications: image classification, document scan
Hands-on: Use pre-built CNN (transfer learning)

Save/load models (Pickle, Joblib, TF)
Create Flask/FastAPI REST APIs
Deploy a model (e.g., churn or sentiment)

Agent, environment, state, action, reward
Exploration vs exploitation
Q-learning (tabular)
Hands-on: Grid-world agent simulation

Self-attention and multi-head attention
BERT vs GPT
Positional encoding
Hands-on: Text generation with transformer

Generator vs Discriminator
DCGAN, CycleGAN, StyleGAN
Hands-on: Synthetic image generation

Denoising Diffusion Probabilistic Models (DDPM)
Diffusion vs GANs
Tools: Stable Diffusion, DALL·E
Hands-on: Generate text-to-image outputs

GPT, Claude, Falcon, Mistral overview
Prompt engineering
Fine-tuning domain-specific LLMs
Hands-on: Legal/Medical chatbot

LangChain architecture
Vector databases (FAISS, Pinecone)
Build RAG pipeline
Hands-on: Doc-aware Q&A chatbot

Vision-Language Models: GPT-4V, CLIP, BLIP
Text-to-image/video/audio generation
Hands-on: Generate media from prompts

Content generation pipelines
Brand asset generation
Tools: Sora, Runway, DALL·E

Deep Q-Networks (DQN)
Policy Gradients
PPO (Proximal Policy Optimization)
Hands-on: Train an autonomous agent

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

Task decomposition & planning
Reflex vs learning agents
CrewAI orchestration
Hands-on: Multi-agent research + writing task

LangChain tools: Google Search, Wolfram, Zapier
Agent memory: vector, long-term, summary
Context retention strategies
Hands-on: Web-aware document chatbot

OpenAI, Claude function calling
ReAct prompting strategy
Toolformer concept
Hands-on: Reasoning assistant with tools & APIs

Orchestrating prompt → tools → output
Guardrails, observability
Evaluation metrics: latency, task completion
Hands-on: AI assistant to summarize meetings, update CRM, draft reports

Ethics, safety, bias, hallucinations
Gradio, Streamlit, Hugging Face Spaces
Hands-on: Host your GenAI app publicly

Project Brief: Build and deploy an end-to-end autonomous system powered by LLMs, LangChain agents, external tools, memory and reasoning strategies.

Deliverables:

LLM-powered task assistant with RAG
LangGraph + CrewAI agent orchestration
Integration with external tools/APIs (e.g., calendar, CRM, Google Search)
ReAct-based decision flow
Deployed on Streamlit or Hugging Face
Performance evaluation (task completion, responsiveness, hallucination %)

Example Themes:

Meeting summarizer + action item generator
Business intelligence research assistant
Autonomous marketing campaign writer
Project planner with goal decomposition

Frequently asked questions

The Advanced Certification in Applied Gen AI and Agentic Systems in Dubai is a specialised program designed to help professionals master the latest advancements in generative AI, large language models (LLMs) and autonomous agentic systems. Our course goes beyond theory and emphasies hands-on application. This helps you to design, fine-tune and deploy intelligent AI-driven solutions for real-world use cases.

Participants gain exposure to deep learning, transformers, multimodal AI, reinforcement learning and tools like LangChain, AutoGPT and CrewAI. Our program is structured to provide a balance of academic learning, practical projects and industry-driven applications. This prepares you to meet the growing demand for AI expertise in Dubai’s fast-evolving technology sector.

Before enrolling in the Advanced Certification in Applied Gen AI and Agentic Systems in Dubai, one must follow sevral eligibility requirements. These are as follows:

Applicants should hold a B.E., B.Tech., M.E, MTech., M.Sc., MBA, or an equivalent master’s degree with at least 50% marks along with 1 year of professional work experience
Candidates with a BSc, BA, LLB, CA, or BBA must have secured a minimum of 65% marks and possess 2 years of relevant professional experience. For non-engineering graduates, a high school-level mathematics background is mandatory
Programming knowledge is required, with prior coding experience in Python being highly preferred

In the Advanced Certification in Applied Gen AI and Agentic Systems in Dubai, you will explore a wide range of advanced AI concepts and practical tools. The course is designed to give you both theoretical foundations and applied expertise. The key topics you will learn are:

Deep Learning Fundamentals – Neural networks, CNNs, RNNs and optimisation methods
Transformers & Large Language Models (LLMs) – Architecture, fine-tuning and deployment for real-world tasks
Natural Language Processing (NLP) – Text generation, summarisation, sentiment analysis and conversational AI
Reinforcement Learning (RL) – Q-learning, PPO and real-world agentic system design
Generative AI (GenAI) – GANs, diffusion models and multimodal AI (text-to-image, GPT-4V, CLIP)
Agentic AI Systems – Hands-on with LangChain, AutoGPT, CrewAI for autonomous workflows
Ethics & Responsible AI – Bias mitigation, fairness and governance in AI systems
AI Deployment & Scalability – Cloud integration, APIs and production-ready AI systems

Earning the Advanced Certification in Applied Gen AI and Agentic Systems provides professionals in Dubai with an edge in today’s AI-driven job market. Our program enhances your ability to design, implement and scale real-world AI applications. These are the key benefits of achieving this certification:

1. Unlock high-demand roles such as AI Engineer, Data Scientist & AI Solutions Architect
2. Gain practical skills by working with advanced tools like LangChain, AutoGPT & GANs
3. Validate your AI knowledge with a globally recognised certification
4. Work on real-world projects that show your ability to build scalable AI systems
5. Apply AI solutions across diverse sectors like healthcare, finance & retail
6. Stay ahead by mastering cutting-edge technologies in Gen AI, LLMs & agentic systems

Completing the Advanced Certification in Applied Gen AI and Agentic Systems in the UAE opens doors to a wide range of career opportunities. As the UAE invests heavily in AI-driven transformation across industries, certified professionals are in high demand. Our course helps you to take on high-impact roles in AI, data science, and automation. Several career opportunities available in the UAE include:

1. AI Engineer
2. Machine Learning Specialist
3. Data Scientist
4. Generative AI Consultant
5. Agentic Systems Developer
6. AI Researcher
7. Technology Strategist / AI Project Manager

In the Advanced Certification in Applied Gen AI and Agentic Systems in UAE, you will gain a strong foundation in deep learning architectures and techniques that power modern AI systems. We cover essential concepts such as neural networks, convolutional neural networks (CNNs) and recurrent neural networks (RNNs). You will learn how these architectures process large datasets, extract features and enable tasks like image recognition, natural language processing and speech analysis.

Our course goes beyond theory by focusing on hands-on applications of deep learning using real-world datasets and frameworks like TensorFlow and PyTorch. You will explore how deep learning is applied in generative models, reinforcement learning and fine-tuning large language models (LLMs).

Yes, you can attend this Applied Gen AI and Agentic Systems course from locations outside Dubai. We offer the same industry-recognised Advanced Applied Gen AI and Agentic Systems course in different GCC countries for professionals globally. These regions are: