An Intensive 5-day Training Course
Artificial Intelligence (AI) and
Machine Learning
Unlocking the Potential:
Artificial Intelligence and Machine Learning Essentials
Scheduled Dates
Classroom
| 29 Dec 2025 - 02 Jan 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 30 Mar - 03 Apr 2026 | London - UK | $5,950 | RESERVE A SEAT |
| 29 Jun - 03 Jul 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 24 - 28 Aug 2026 | London - UK | $5,950 | RESERVE A SEAT |
| 28 Sep - 02 Oct 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 12 - 16 Oct 2026 | Jeddah - Saudi Arabia | $5,950 | RESERVE A SEAT |
| 02 - 06 Nov 2026 | Abu Dhabi - UAE | $5,950 | RESERVE A SEAT |
| 28 Dec 2026 - 01 Jan 2027 | Dubai - UAE | $5,950 | RESERVE A SEAT |
Would an alternative date be more suitable?
We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.
Why Choose this Training Course?
Artificial intelligence (AI) and machine learning (ML) have become pivotal in today's rapidly evolving digital landscape, reshaping industries, businesses, and daily routines. This training course aims to provide a comprehensive understanding of the core concepts, principles, and applications of AI and ML. Whether you're an experienced professional looking to deepen your expertise or a novice eager to explore these technologies, this training offers the foundational knowledge and practical skills necessary to navigate the dynamic realm of AI and ML. Prepare to embark on a journey of discovery and innovation as we delve into the intricacies of these technologies and uncover their potential to drive innovation, boost productivity, and shape the future. Let's dive in together and unleash the power of AI and ML!
This PetroKnowledge Artificial Intelligence (AI) and Machine Learning training course will highlight:
- Essential Concepts of AI and ML
- Core Principles and Algorithms
- Data Pre-processing and Feature Engineering
- Model Evaluation and Validation
- Real-world Applications of AI and ML
- Ethical Considerations in AI
- Future Trends and Innovations
- Challenges and Opportunities
What are the Goals?
The objectives of the "Artificial Intelligence and Machine Learning" training course are designed to provide participants with a comprehensive understanding of AI and ML concepts, techniques, and applications.
At the end of this training course, you will learn to:
- Understanding the Fundamentals of AI and ML
- Exploring Core Concepts and Algorithms
- Mastering Data Preprocessing and Feature Engineering Techniques
- Evaluating and Optimizing Models
- Applying AI and ML in Real-World Scenarios
- Addressing Ethical Concerns in AI
- Exploring Future Trends and Innovations
- Identifying Challenges and Opportunities
Who is this Training Course for?
The "Artificial Intelligence (AI) and Machine Learning" training course is designed for professionals across various roles and industries who are eager to deepen their understanding of AI and ML and harness their transformative potential.
This PetroKnowledge AI and Machine Learning training course is suitable to a wide range of professionals but will greatly benefit:
- Data Scientists and Analysts
- Software Developers and Engineers
- Business Analysts and Consultants
- Product Managers and Innovators
- Executives and Decision-Makers
- Entrepreneurs and Start-up Founders.
- Academic Researchers and Students
- Professionals Seeking Career Advancement
How will this Training Course be Presented?
The training course methodology integrates various approaches to facilitate deep understanding and practical proficiency in AI and ML. Through interactive lectures, hands-on coding labs, real-world case studies, and group discussions, participants will immerse themselves in a dynamic learning environment. Hands-on coding labs enable the application of theoretical concepts using popular programming languages and tools, while real-world case studies provide insights into AI and ML applications across diverse industries. Group discussions and brainstorming sessions encourage collaboration and knowledge sharing, fostering innovative solutions to AI and ML challenges. Interactive demos and simulations enhance learning by visualizing complex concepts in an engaging manner. Throughout the training course, practical projects and assessments allow participants to demonstrate their skills and receive personalized feedback, empowering them to confidently apply AI and ML fundamentals in real-world scenarios.
Organisational Impact
The AI and Machine Learning training course is designed to have a significant organizational impact by equipping participants with the knowledge, skills, and mindset necessary to drive successful digital transformation initiatives. The organization stands to benefit from enhanced digital literacy, alignment with business objectives, improved innovation and agility, optimized operations and processes, enhanced customer experiences, an empowered workforce, strategic decision-making, and a competitive advantage.
The Organisation will have the following benefits;
- Enhanced Digital Literacy
- Alignment with Business Objectives
- Improved Innovation and Agility
- Optimized Operations and Processes
- Enhanced Customer Experiences
- Empowered Workforce
- Strategic Decision-Making
- Competitive Advantage
Personal Impact
On a personal level, participants will gain enhanced innovation and competitiveness by leveraging AI and ML expertise, improved decision-making through data-driven insights, optimized operations and processes through automation, enhanced customer experiences through personalization, accelerated innovation cycles through democratizing AI and ML knowledge, talent development and retention through upskilling, risk mitigation and compliance through ethical considerations, strategic growth and adaptability by harnessing the power of AI and ML, and a sense of fulfillment through contributing to digital transformation efforts
At the end of this AI and Machine Learning training course, the participants will gain the following;
- Enhanced Innovation and Competitiveness: By empowering employees with AI and ML expertise, organizations can foster a culture of innovation and drive competitive advantage.
- Improved Decision-Making: AI and ML enable data-driven decision-making by analyzing large volumes of data and extracting valuable insights.
- Optimized Operations and Processes: AI and ML technologies can automate repetitive tasks, optimize processes, and streamline operations.
- Enhanced Customer Experiences: AI and ML enable organizations to personalize customer interactions, anticipate needs, and deliver tailored experiences.
- Accelerated Innovation Cycles: By democratizing AI and ML knowledge within the organization, training participants can accelerate the pace of innovation.
- Talent Development and Retention: Investing in AI and ML training demonstrates a commitment to employee development and upskilling.
- Risk Mitigation and Compliance: Participants learn about ethical considerations and responsible AI practices, mitigating the risks associated with AI and ML implementation.
- Strategic Growth and Adaptability: By harnessing the power of AI and ML, organizations can adapt to changing market dynamics, identify new revenue streams, and capitalize on emerging opportunities. Sense of Fulfillment: As participants contribute to digital transformation efforts within their organizations and witness the positive impact of their contributions, they experience a sense of fulfillment and satisfaction in making a meaningful difference.
Daily Agenda
Day One: AI and ML Introduction
- Defining AI and Its Scope
- Historical Background and Key Achievements
- Foundational Concepts and Terminologies
- Varieties of Machine Learning: Supervised, Unsupervised, Reinforcement
- Fundamentals of Python Programming
- Getting Started with NumPy and Pandas Libraries
- Preparing and Refining Data
- Conducting Exploratory Data Analysis (EDA)
Day Two: Supervised Learning
- Comprehending Linear Regression
- Training and Assessing Models
- Introduction to Classification Techniques
- Exploring the Logistic Regression Algorithm
- Understanding Decision Trees
- Delving into Random Forest and Gradient Boosting Algorithms
Day Three: Unsupervised Learning
- Exploring K-Means Clustering
- Understanding Hierarchical Clustering
- Techniques for Dimensionality Reduction
- Introduction to Principal Component Analysis (PCA)
- Exploring t-Distributed Stochastic Neighbor Embedding (t-SNE)
Day Four: Advanced Topics in Machine Learning
- Fundamentals of Artificial Neural Networks (ANN)
- Activation Functions and Backpropagation Techniques
- Introduction to Convolutional Neural Networks (CNN)
- Understanding Recurrent Neural Networks (RNN)
- Preprocessing of Text Data
- Performing Sentiment Analysis and Text Classification
Day Five: Practical Applications and Future Trends
- Getting Started with Reinforcement Learning
- Exploring Q-Learning and Deep Q-Networks (DQN)
- Applications in Healthcare, Finance, Marketing, Autonomous Vehicles, etc.
- Analyzing Case Studies and Success Stories
- Addressing Ethical Concerns in AI and ML
- Exploring Emerging Trends and Future Directions
Certificate
- On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.
In Association With
Frequently Asked Questions
PetroKnowledge is a globally recognized provider of training courses for oil and gas professionals, offering a wide range of specialized training courses designed to enhance knowledge, skills, and expertise in the energy sector. With courses tailored to meet the evolving demands of the oil and gas industry, PetroKnowledge helps professionals stay up-to-date with industry standards, technological advancements, and best practices.
Our courses are specifically developed for professionals in the oil and gas industry, including engineers, technical staff, managers, and other specialists looking to advance their careers. Whether you’re a seasoned expert or new to the sector, our training for oil and gas professionals is suited to individuals at all stages of their professional journey.
PetroKnowledge offers flexible learning solutions with both online courses and in-person training options. Online courses for oil and gas professionals provide the flexibility to learn from anywhere, while in-person courses offer a hands-on, interactive learning environment. Each training course page provides detailed information on the delivery format, allowing you to choose the option that best meets your learning style and schedule
Yes, PetroKnowledge offers customized in-house training solutions for organizations looking to upskill their teams. We work closely with companies to design bespoke training courses for oil and gas professionals that address specific challenges and objectives. Whether you need on-site training or online solutions, we can tailor the training courses to suit your organization’s needs.
Certain advanced training courses for oil and gas professionals may require prior experience or technical knowledge. These prerequisites ensure that participants can fully benefit from the course content. We recommend reviewing the course description on the relevant page to determine if any prerequisites apply to your selected course.
Enrolling in one of our training courses for oil and gas professionals is simple and convenient. Navigate to the specific course page, click “Enroll Now,” and complete the registration form. You will receive a confirmation email with further details on how to proceed.
You may also get in touch with our Registration Team on
+971 50 981 7386 | +971 2 557 7389 or send an email to [email protected]
Upon successful registration online, enrolment on the respective training course will be confirmed by Registration Team by e-mail along with the invoice and joining instruction.
Yes, upon successful completion of our courses for professionals in the oil and gas industry, you will receive an industry-recognized certificate from PetroKnowledge. This certification is designed to validate your skills and knowledge and can significantly enhance your professional credentials, boosting your career prospects in the competitive oil and gas sector.
Pre-Course Cancellation
Our refund and cancellation policy varies depending on the course and circumstances. Generally, cancellations made at least 21 days before the training are eligible for a refund, less any administrative fees.
Refund Policy Disclaimer
All course bookings made through PetroKnowledge are non-refundable. By registering for a course, you acknowledge and accept that fees are payable in full and are not subject to refund under any circumstances, including but not limited to participant dissatisfaction, changes in personal or professional circumstances, or partial attendance.
PetroKnowledge reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Full details of each course – including objectives, target audience, and content – are clearly outlined prior to enrolment, and it is the responsibility of the delegate to ensure suitability before booking.
If you have any specific inquiries about the cancellation or refund, don’t hesitate to contact our support team, who can assist with your booking and cancellation queries.
For corporate fees and group registration, please send your query to [email protected].
