Artificial Intelligence and Machine Learning Course
Master Python, Pandas, NumPy, and Tableau tools in 3.5 months
Learn ML, NLP, and Deep Learning techniques
Work on 5+ industry use cases and a capstone project
Access CareerHub for interviews and resumes
Gain lifetime access to classes and CareerHub for job readiness
Overview
What you will acquire from our training:
- Learn from Middle East experts with over a decade of experience in the tech field
- Apply real-world use cases to understand AI technologies
- Analyse data statistically, using Python libraries like NumPy and Pandas
- Use MatPlotLib to visualise datasets effectively
- Build and implement Machine Learning models
- Get conceptual knowledge on CNN & RNN using NLP and Deep Learning Models
- Utilise Tableau for geographical and customer insights & product and trend analysis
- Identify business problems and suggest data-driven solutions
Upcoming sessions
Curriculum
Evolution of AI: From rule-based systems to deep learning
Difference between AI, ML, Deep Learning, and Data Science
Business applications across industries (Finance, Healthcare, Retail, Manufacturing, HR)
AI/ML project lifecycle and stakeholder management
Ethical considerations and responsible AI
Understanding structured vs. unstructured data
Data quality: The GIGO principle (Garbage In, Garbage Out)
Data collection, cleaning, and preprocessing fundamentals
Feature engineering basics
Data privacy regulations (GDPR, data sovereignty)
Types of ML: Supervised, Unsupervised, Reinforcement Learning
Common algorithms: Linear Regression, Decision Trees, Random Forest, K-means Clustering
Model training, testing, and validation
Overfitting vs. Underfitting
Introduction to Neural Networks and deep learning
Convolutional Neural Networks (CNNs) for image recognition
Recurrent Neural Networks (RNNs) for sequence data
Natural Language Processing (NLP) basics
Transfer learning and pre-trained models
Understanding Generative AI: GANs, Transformers, Diffusion Models
Large Language Models (LLMs): GPT, BERT, Claude architecture overview
Prompt engineering fundamentals
Retrieval Augmented Generation (RAG)
Business applications: Content creation, code generation, customer service
ML project management: From POC to production
MLOps: Continuous integration and deployment for ML
Model monitoring and maintenance
A/B testing and experimentation
Building AI teams: Roles and responsibilities
Change management for AI adoption
AI in Finance: Risk assessment, algorithmic trading, fraud detection
AI in Healthcare: Diagnosis, drug discovery, patient care
AI in Manufacturing: Quality control, supply chain, predictive maintenance
AI in Retail/E-commerce: Personalization, inventory, demand forecasting
AI in HR: Recruitment, employee engagement, performance prediction
Calculating AI ROI and business impact metrics
Each participant/team presents their domain-specific project
Consolidated Project components:
Peer and instructor feedback
Best project awards
Emerging trends: Quantum ML, Edge AI, Federated Learning
AI regulation and governance landscape
Building a personal AI learning roadmap
Resources for continued learning
Learning Outcomes
Upon finishing the training, you will:
1
Learn about the roles and responsibilities of Data Scientists and AI Engineers
2
Gain knowledge of tools and technologies like Python Libraries and ML Models
3
Solve real-world industry scenarios through prediction models
4
Utilise AI tools to gain insights and perform optimisation
5
Solve real-time business problems with data-driven analysis
6
Strengthen professional portfolio with 5+ use cases and a capstone project
7
Earn Learners Point and KHDA certifications
Overall ratings by our students
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Frequently asked questions
The Artificial Intelligence and Machine Learning Course is designed to help you to understand, develop and apply AI and ML technologies in real-world cases. Our course covers the basics of AI and machine learning, which includes algorithms, data analysis, time series analysis, neural networks and deep learning models.
This training program has no eligibility criteria as you learn all the concepts from scratch. Whether you are an experienced IT Professional or a beginner aspiring to enter the world of AI, this program is designed to prepare you for industry roles. A practical approach will be followed during the training to ensure optimum learning outcomes.
Our Artificial Intelligence and Machine Learning certification covers several key concepts that connects theory and practical application. Some of core concepts of AI included are as follows:
- AI System design principles
- Neural networks and Deep learning
- Natural Language Processing (NLP)
- Computer Vision
- Knowledge representation and reasoning
- Ethics and responsible AI engineering
- AI in real-world applications
There are numerous skills one will learn from this Artificial Intelligence & ML Course to become a Professional Data Scientist. These skills are as follows:
- Skills and practical exposure to tools and technologies like Python, and Python Libraries like NumPy, Pandas, MatPlotLib, and Seaborn are required for Data Scientist roles
- Proficiency in data extraction, segregation, cleaning, and visualisation is crucial
- Build your portfolio with use cases and projects, which are deciding factors for interviewers in the selection process of candidate
- You will work on 5+ Use Cases and 1 Capstone Project in the Artificial Intelligence and Machine Learning Course
After completing the program, an individual can get various lucrative job offers. They become well prepared to stay competitive in the field of AI and machine learning. Some of them are listed below:
1. Data Scientist
2. Data Engineer
3. ML Engineer
4. AI Research Scientist
5. AI Product Manager
6. Computer Vision (CV) Specialist
7. Business Intelligence Developer
8. Data Analyst
There are several top companies looking for AI professionals for their organisations in the UAE and the GCC Countries. These companies highly consider our AI and ML training certified candidates. They are as follows:
1. Proztec
2. Emirates National Oil Company
3. Biotech Middle East
4. Career Maker Bahrain
5. Weill Cornell Medicine
6. Starlink ME Qatar
7. Michael Page
8. Amazon
9. Microsoft
Yes, our AI and ML Course is available in locations across the GCC regions. We offer comprehensive instruction and training globally, which helps students to gain this important certification.
During our Artificial Intelligence and Machine Learning training, you will gain practical experience with widely-used Machine Learning tools and libraries. The curriculum utilises Scikit-learn, TensorFlow, Keras, and Pandas as the core tools for data manipulation and model development.
At Learners Point, a learner’s satisfaction with the training and confidence after the training is of utmost importance. We provide lifetime access to the sessions for you. You can attend multiple batches of the program till you are confident about all the concepts.
No, the lifetime access to the program has got you covered. You can attend multiple sessions without any extra expense.
Yes! You can enrol with us by availing easy instalment options with Tabby or Tamara. We also provide No-Cost EMI options with certain Credit Cards. Talk to our advisors for accurate information.
Learners Point Academy stands out as the ultimate destination for mastering Artificial Intelligence and Machine Learning. Offering an immersive, hands-on learning experience that bridges the gap between theoretical concepts and real-world tech demands, here is why Learners Point is the best provider in the market to accelerate your AI career:
- Expert-Led Instruction: You learn directly from Middle East industry professionals with over a decade of experience in the tech sector, ensuring you gain insights into practical, real-world business scenarios.
- Comprehensive, Tools-Driven Curriculum: In just 3.5 months, the training takes you from the fundamentals to advanced concepts, helping you master top tools and technologies like Python, Pandas, NumPy, Tableau, Scikit-learn, and TensorFlow to build and deploy Deep Learning and NLP models.
- Hands-On Portfolio Building: The course emphasizes project-based learning, allowing you to work on 5+ industry-specific use cases and a comprehensive capstone project to strongly demonstrate your capabilities to future employers.
- Globally Recognized & KHDA-Approved: Validating your newly acquired skills, the academy provides a prestigious, globally recognized certification alongside an official KHDA-attested certificate that boosts your credibility in the international job market.
- Lifetime Access & Maximum Flexibility: Learners Point offers incredible flexibility with online and classroom options, plus lifetime access to live classes, allowing you to attend multiple batches until you are fully confident in your skills.
- Dedicated CareerHub Support: The academy ensures you are job-ready by granting access to the CareerHub, which provides dedicated placement assistance, AI-powered mock interviews, resume-building support, and access to over 30,000 jobs.
- Proven Excellence: Backed by an exceptional 4.9/5 student rating and over 6,800 successful enrollments, Learners Point has a proven track record of transforming absolute beginners into highly sought-after Data Scientists and ML Engineers.
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