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
4.85/55258 EnrolledEnrolled Learners
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
Upcoming sessions
Curriculum
1
Why deep learning?
2
ANN structure, activation functions
3
Feedforward and backpropagation
4
Build ANN using Keras
1
TensorFlow 2.x and Keras API
2
Loss functions and optimizers
3
Overfitting and underfitting
4
Train a churn model on tabular data
1
NLP use cases: chatbots, sentiment, classification
2
Preprocessing: tokenization, stop words, lemmatization
3
Vectorization: Bag of Words, TF-IDF
4
Hands-on: Sentiment analysis
1
Logistic regression and Naive Bayes
2
Word embeddings introduction
3
Build: spam or feedback classifier
1
CNN layers: filters, pooling, convolution
2
Applications: image classification, document scan
3
Hands-on: Use pre-built CNN (transfer learning)
1
Save/load models (Pickle, Joblib, TF)
2
Create Flask/FastAPI REST APIs
3
Deploy a model (e.g., churn or sentiment)
1
Agent, environment, state, action, reward
2
Exploration vs exploitation
3
Q-learning (tabular)
4
Hands-on: Grid-world agent simulation
1
Self-attention and multi-head attention
2
BERT vs GPT
3
Positional encoding
4
Hands-on: Text generation with transformer
1
Generator vs Discriminator
2
DCGAN, CycleGAN, StyleGAN
3
Hands-on: Synthetic image generation
1
Denoising Diffusion Probabilistic Models (DDPM)
2
Diffusion vs GANs
3
Tools: Stable Diffusion, DALL·E
4
Hands-on: Generate text-to-image outputs
1
GPT, Claude, Falcon, Mistral overview
2
Prompt engineering
3
Fine-tuning domain-specific LLMs
4
Hands-on: Legal/Medical chatbot
1
LangChain architecture
2
Vector databases (FAISS, Pinecone)
3
Build RAG pipeline
4
Hands-on: Doc-aware Q&A chatbot
1
Vision-Language Models: GPT-4V, CLIP, BLIP
2
Text-to-image/video/audio generation
3
Hands-on: Generate media from prompts
1
Content generation pipelines
2
Brand asset generation
3
Tools: Sora, Runway, DALL·E
1
Deep Q-Networks (DQN)
2
Policy Gradients
3
PPO (Proximal Policy Optimization)
4
Hands-on: Train an autonomous agent
1
Multi-agent collaboration
2
LangChain dynamic decision agents
3
Build a simple autonomous assistant
1
Task decomposition & planning
2
Reflex vs learning agents
3
CrewAI orchestration
4
Hands-on: Multi-agent research + writing task
1
LangChain tools: Google Search, Wolfram, Zapier
2
Agent memory: vector, long-term, summary
3
Context retention strategies
4
Hands-on: Web-aware document chatbot
1
OpenAI, Claude function calling
2
ReAct prompting strategy
3
Toolformer concept
4
Hands-on: Reasoning assistant with tools & APIs
1
Orchestrating prompt → tools → output
2
Guardrails, observability
3
Evaluation metrics: latency, task completion
4
Hands-on: AI assistant to summarize meetings, update CRM, draft reports
1
Ethics, safety, bias, hallucinations
2
Gradio, Streamlit, Hugging Face Spaces
3
Hands-on: Host your GenAI app publicly
1
LLM-powered task assistant with RAG
2
LangGraph + CrewAI agent orchestration
3
Integration with external tools/APIs (e.g., calendar, CRM, Google Search)
4
ReAct-based decision flow
5
Deployed on Streamlit or Hugging Face
6
Performance evaluation (task completion, responsiveness, hallucination %)
7
Meeting summarizer + action item generator
8
Business intelligence research assistant
9
Autonomous marketing campaign writer
10
Project planner with goal decomposition
Meet your Trainer
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.
Learning Outcomes
After you complete your training, you will be able to:
1
Create AI agents with LangChain, AutoGPT and CrewAI designed for practical real-world applications
2
Master NLP techniques using ChatGPT, LangChain and transformer-based frameworks for advanced language processing tasks
3
Apply reinforcement learning through Q-learning, PPO methods and Grid-world simulations to solve dynamic problems
4
Build multimodal AI solutions integrating GPT-4V, CLIP and text-to-image models for innovative outputs
5
Generate synthetic images and datasets using GANs such as DCGAN and CycleGAN for diverse applications
6
Deploy autonomous AI solutions utilising CrewAI and LangGraph to deliver real-time intelligent performance
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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
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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:
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