Artificial Intelligence (AI) Training in Saudi Arabia and India
Artificial intelligence (AI) is an integral part of how businesses operate, how people interact with devices, and how we can make sense of the world. As such, learning AI is essential for anyone interested in leveraging the power of technology to solve real-world problems. Visible Stars's Artificial Intelligence course in Saudi Arabia and India is designed to provide learners with a solid AI foundation, focusing on theoretical and practical aspects. At Visible Stars, our AI course is designed to provide students with a comprehensive understanding of the core concepts and applications of artificial intelligence. The course covers various topics including introduction to AI, machine learning, deep learning, natural language processing (NLP) and more. With each topic covered in our AI Training, participants will have practical tasks to work on, complementing the 60% theory with 40% hands-on experience.
Our course encourages students to ask questions, engage in thoughtful discussions, and explore AI-related topics during Q&A sessions and open-ended discussions. You will have the opportunity to work in coding labs, where you will implement basic algorithms from scratch and work on datasets to clean, preprocess, Evaluate, and visualise data. The AI training also includes mini projects, real-time examples and case studies which provide practical insights into AI applications in industries like healthcare, finance, cybersecurity, and marketing. During Visible Stars's Artificial Intelligence course in Saudi Arabia and India, your instructor will assign you tasks designed to challenge you. These include building complete AI systems like chatbots and recommendation systems, using advanced techniques such as transfer learning.
We also provide training on popular AI software and platforms, such as PyCharm and Google Colab, to ensure students are equipped with the necessary technical skills. The course curriculum also includes how to use cloud services (AWS and Google Cloud) for AI. Our AI training sessions also include discussions on the latest trends and issues in AI, including ethical considerations, AI bias, and the impact of AI on various industries. The course addresses contemporary challenges and solutions, equipping students with the knowledge to navigate the evolving AI landscape responsibly. Visible Stars’s AI course in Saudi Arabia and India combines theoretical knowledge, hands-on practice, real-world examples, and interactive sessions to provide students with a comprehensive learning experience in the field of artificial intelligence.
Benefits of Artificial Intelligence Training
- Industry-Relevant Skills: The course equips students with industry-relevant skills in AI and machine learning, preparing them for the job market demands.
- Career Advancement: AI skills are in high demand and Visible Stars’s AI training will equip you with the knowledge and expertise to pursue exciting careers in machine learning, deep learning, and NLP.
- Problem-Solving Skills: Our AI course sharpens your analytical thinking and problem-solving abilities. You will learn to approach challenges from a data-driven perspective.
- Improve Technical Expertise: The course provides a strong foundation in Python programming, a language widely used in AI development. You'll gain practical experience working with libraries and tools essential for building AI applications.
- Adaptability in the Workforce: AI is at the forefront of change in businesses and organisations. Our AI training prepares you to adapt to new technologies and stay relevant in the job market.
- Innovation and Efficiency: You will learn to use AI to automate tasks, improve decision-making, and optimise processes, thereby enhancing work proficiency.
Artificial Intelligence Course Features
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40-hour In-depth Training:
Our Artificial Intelligence course spans around 40 hours, covering both basic and advanced AI concepts.
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Comprehensive Curriculum:
Our AI course syllabus includes topics such as AI - Definitions, history, key milestones, Machine Learning, Deep Learning, Natural Language Processing (NLP), and more.
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Interactive Sessions:
Our AI training includes interactive sessions such as Q&A and Discussions, addressing student queries and reinforcing understanding of recent AI advancements and news.
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Quizzes and Polls:
Visible Stars’s AI Training incorporates quizzes using tools like Kahoot or Mentimeter to test comprehension in real-time and opinion polls to gather feedback.
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Coding Labs:
Our AI course training provides coding labs for implementing basic algorithms from scratch (linear regression, decision trees), working on datasets to clean, preprocess, and visualise data to using AI frameworks to build and train models.
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Mini Projects:
With our mini projects, you will learn to apply learned concepts such as image classification and sentiment analysis to experimentation with hyperparameters and model architectures.
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Real-Time Examples & Case Studies:
You will analyse in-depth case studies from industries like healthcare (AI for early disease detection), finance (fraud detection) and AI in Cyber Security and marketing (customer segmentation).
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Advanced Assignments:
You will be given assignments that involve building complete AI systems (chatbot, recommendation system). This encourages the use of advanced techniques (ensemble methods, transfer learning).
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Research Projects:
You will be assigned research-oriented projects where students review literature and develop innovative solutions.
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Course Completion Certification:
Upon completion of our AI Course in Saudi Arabia and India, you will receive a KHDA-accredited AI Certification.
Industries/Areas Looking for Individuals With AI Skills
Tech Giants & IT Services
Finance and Risk Management
Healthcare and Pharmaceuticals
Manufacturing and Retail
Prerequisites for Artificial Intelligence Course
- Should have good programming skills
- Strong knowledge of Mathematics
- Good Analytical skills
AI Course Modules
- Module 1: Introduction to Artificial Intelligence
- 1.1 What is AI?
- Definition and history of AI
- Types of AI: Narrow AI vs. General AI
- AI vs. Machine Learning vs. Deep Learning
- Real-world applications of AI
- 1.2 AI Tools and Technologies
- Overview of popular AI tools and frameworks (TensorFlow, PyTorch, etc.)
- Introduction to AI platforms (Google AI, IBM Watson, Microsoft Azure AI)
- 1.3 AI in Everyday Life
- Real-world applications
- Case studies
- 1.4 AI in Business and Industry
- Use cases in various sectors (e.g., healthcare, finance, retail)
- 1.5 AI Technologies Overview
- Machine Learning,
- Deep Learning,
- Natural Language Processing
- Module 2: Programming For AI
- 2.1 Python Programming
- Introduction to Python
- Installing Python and Jupyter Notebook / PyCharm
Basic Python programming concepts - Variables, data types, control structures, functions
Libraries for AI: NumPy, Pandas, Matplotlib - 2. 2 Advance Python and Data Handling
- Object-oriented programming
- Data preprocessing and manipulation
- Module 3: Machine Learning Concepts in AI
- 3.1 Understanding Machine Learning
- Definition and types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
- Key concepts: Training, testing, and validation datasets
- 3.2 Data Handling and Preprocessing
- Importing datasets with pandas
- Data cleaning and preprocessing
- Feature selection and engineering
- 3.3 Introduction to Scikit-Learn
- Overview of Scikit-Learn
- Building a simple machine-learning model
- Linear Regression
- Classification with k-Nearest Neighbors (k-NN)
- Module 4: Deep Learning in AI
- 4.1 Introduction to Neural Networks
- Basic concepts of neural networks
- Perceptron and multi-layer perceptrons
- 4.2 Introduction to TensorFlow and Keras
- Overview of TensorFlow and Keras
- Building a simple neural network with Keras
- 4.3 Image Classification Task
- Loading image data
- Building and training a Convolutional Neural Network (CNN)
- Evaluating the model
- Module 5: Natural Language Processing (NLP)
- 5.1 Introduction to NLP
- Basic concepts of NLP
- Common NLP tasks (sentiment analysis, text, classification, etc)
- 5.2 Text Processing with NLTK and SpaCy
- Tokenization, stemming, lemmatization
- Named Entity Recognition (NER)
- 5.3 Building a Simple NLP Model
- Sentiment analysis using Naive Bayes Classifier
- Text classification with Scikit-Learn
- Module 6: Real-Time Project with AI
- 6.1 AI in Business and Industry
- Case studies of AI applications in various industries
- 6.2 Hands-on Project: Building a Simple AI Application
- Choose a project (e.g., Real-Time Traffic Sign Recognition System, Real-Time Sentiment Analysis of Social Media Posts)
- Plan and design the project
- Implement the project using Python and AI tools
- 6. 3 Ethical Considerations and the Future of AI
- Ethical implications of AI
- Future trends and career opportunities in AI
Real-Time Examples, Projects & Tools
Coding Labs:
- Implement basic algorithms from scratch (linear regression, decision trees).
- Work on datasets to clean, preprocess, Evaluate and visualise data.
- Use AI frameworks to build and train models
Mini Projects:
- Small projects to apply learned concepts (image classification, sentiment analysis).
- Encourage experimentation with hyperparameters and model architectures.
Detailed Case Studies:
Analyse in-depth case studies from industries like
- Healthcare: AI for early disease detection
- Finance: fraud detection
- Cyber Security and marketing: customer segmentation
AI Failure Cases:
Study cases where AI implementations failed or caused issues (e.g., biased algorithms in hiring processes) to learn from mistakes and understand the importance of ethical considerations.
Tools and Platforms:
- Software Training:
- AI software and platforms (PyCharm, Google Colab).
- Cloud services for AI (AWS, Google Cloud AI).
- Version Control:
- Version control systems ( Git) for collaborative AI projects.
Detailed Case Studies:
Analyse in-depth case studies from industries like
- Healthcare: AI for early disease detection
- Finance: fraud detection
- Cyber Security and marketing: customer segmentation
How to Get Artificial Intelligence Certified?
Review & Ratings
FAQs
This course is ideal for individuals in Saudi Arabia and India who want to gain a strong foundation in AI. It can cater to:
- Professionals looking to upskill and transition into AI-related careers.
- Business owners seeking to understand how AI can benefit their operations.
Our course curriculum includes:
- Introduction to AI: Definitions, history, and key milestones.
- Machine Learning: Supervised, unsupervised, and reinforcement learning.
- Deep Learning: Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs).
- Natural Language Processing (NLP): Text processing, sentiment analysis, machine translation and more.
Here are some of the benefits of taking our AI Course;
- Gain in-demand skills for a flourishing job market.
- Advance your career prospects in various industries.
- Network with other AI enthusiasts and professionals in Saudi Arabia and India.
- Stay ahead of the curve in a rapidly evolving technological landscape.
If you possess strong programming skills and a solid understanding of mathematics and statistics, learning AI will be more accessible for you. These skills are essential for analyzing data, creating efficient algorithms, and implementing AI models.
Some of the high-paying AI job roles include;
- Big Data Engineer/Architect
- Software Engineer
- Software Architect
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Data Analyst
- Robotics Engineer
- NLP Engineer
The average salary for an AI professional is AED 20,475 per month in Saudi Arabia and India. The salary can change according to individual experience and industry.