Advanced Certification in Applied Gen AI and Agentic Systems in Saudi Arabia
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
4.85/55063 EnrolledEnrolled Learners
Overview
What our training includes:
- 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
Once you complete the training, you will be able to:
1
Create AI agents with LangChain, AutoGPT and CrewAI tailored 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 Saudi Arabia, the eligibility requirements are as follows:
- Applicants should hold a B.E., B.Tec.h, 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 Saudi Arabia is a specialised program designed to help you with cutting-edge expertise in artificial intelligence. Our course dives deep into generative AI, reinforcement learning, large language models (LLMs) and autonomous agentic systems. Unlike generic AI courses, it emphasises hands-on learning with tools like TensorFlow, PyTorch, LangChain, AutoGPT and CrewAI, which helps you to design, train and deploy intelligent systems effectively.
The program blends theory, applied projects and mentorship to help you master complex AI concepts while ensuring you can implement scalable and ethical AI solutions across sectors like IT, finance, healthcare. By completing this course, you position yourself as a future-ready AI leader in one of the fastest-growing digital economies in the world.
The Advanced Certification in Applied Gen AI and Agentic Systems in KSA is designed to give you hands-on expertise in building, deploying and managing AI-driven solutions. The program focuses on practical applications, industry tools and career readiness. These are some of the key highlights:
- Comprehensive curriculum covering generative AI, reinforcement learning, agentic systems, multimodal AI and ethical AI practices
- Hands-on projects using tools like TensorFlow, PyTorch, LangChain, AutoGPT & CrewAI
- Industry-aligned learning structured around KSA’s goals to meet local and global market demands
- Expert mentorship from certified AI professionals with global experience in cutting-edge research and enterprise deployments
- Flexible learning modes with options for classroom, online live sessions, or blended formats
- Career-focused training with resume workshops, interview preparation & job placement support in the AI sector
Yes, this course in KSA is structured to help the beginners in AI while also challenging professionals with prior experience. It starts with the fundamentals of machine learning, neural networks and Python programming. This ensures beginners gain the right foundation before moving to advanced topics.
As you progress, the training gradually introduces complex concepts like generative AI, reinforcement learning and agentic systems. With guided mentorship and hands-on projects, even beginners can confidently build real-world AI applications.
In the Advanced Certification in Applied Gen AI and Agentic Systems in KSA, you will gain hands-on experience with cutting-edge tools and frameworks widely used in AI and automation. These tools and technologies are:
- LangChain, AutoGPT, CrewAI – for building AI agents and workflows
- ChatGPT, Hugging Face Transformers – for advanced NLP applications
- PyTorch, TensorFlow – for deep learning and model training
- Q-learning, PPO, Grid-world – for reinforcement learning experiments
- GANs (DCGAN, CycleGAN) – for creating synthetic data and images
- CLIP, GPT-4V, Diffusion models – for multimodal AI and generative tasks
- AWS & Azure AI Services – for scalable cloud-based deployment of AI solutions
Our training program goes beyond conventional AI training by focusing deeply on generative AI (Gen AI), large language models (LLMs) and autonomous agentic systems, the areas where many other certifications offer limited or no coverage. This is how it compares to others:
- Specialised Focus – Unlike broader AI certifications (e.g., CAIP or data science) that cover general ML and analytics, our advanced certification course zeroes in on cutting-edge Gen AI and agentic workflows
- Hands-on Autonomy – You gain practical experience building autonomous AI agents using tools like LangChain and AutoGPT, whereas other programs often focus more on foundational concepts or vendor-neutral ML
- Industry Relevance – Designed with alignment to fast-growing AI ecosystem in KSA, it offers local applicability and real-world project experience
During the Advanced Certification in Applied Gen AI and Agentic Systems in KSA, you will gain hands-on expertise in building and deploying autonomous AI systems. The training emphasises practical application where you learn how to design AI agents that can make decisions.
Using tools like CrewAI and LangGraph, you will create multi-agent systems, integrate planning and reasoning strategies and develop agents capable of complex decision-making. The capstone project will allow you to deploy these systems in real-world scenarios.
Yes, you will be able to enrol in this Applied Gen AI and Agentic Systems course from locations outside Saudi Arabia. To maintain uniform training quality worldwide, we provide our Advanced Applied Gen AI course in several GCC areas.
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