Master Course : Fundamentals of Machine Learning (101 level)
What you'll learn
- Understand the fundamental principles of data preprocessing and supervised learning techniques.
- Apply unsupervised learning methods and evaluate model performance effectively.
- Implement feature engineering strategies to enhance machine learning model accuracy.
- Build and train deep learning models using TensorFlow and Keras frameworks.
- Develop natural language processing (NLP) solutions for text-based applications.
- Analyze and interpret computer vision models and reinforcement learning algorithms.
- Evaluate ethical considerations in the development and deployment of AI systems.
- Explore advanced AI techniques such as generative models and transfer learning in real-world scenarios.
Requirements
- Basic skills and ideas of machine learning and deep learning
Description
This course offers a comprehensive journey through the evolving field of machine learning and artificial intelligence, beginning with the foundational techniques and progressing to advanced methodologies. The first module delves into the essential steps of data preprocessing, supervised learning algorithms, and their real-world applications. As students advance, they will explore unsupervised learning techniques, model evaluation methods, and the critical importance of feature engineering in improving model performance. The course emphasizes the power of deep learning in extracting meaningful insights from complex data, equipping learners with the necessary skills to build cutting-edge machine learning models.
Building on this foundation, the course moves into advanced AI topics, including the use of TensorFlow and Keras for constructing deep learning architectures, and natural language processing (NLP) for enabling machines to understand human language. Students will gain hands-on experience applying these techniques to practical problems, including computer vision and reinforcement learning. Ethical considerations in AI deployment are also discussed, providing students with a holistic understanding of the technology’s societal impact. In the final modules, the course addresses state-of-the-art methods such as generative models, transfer learning, and the future of AI in practice, preparing students to navigate and innovate in the rapidly evolving landscape of artificial intelligence.
In this master course, I would like to teach the major topics:
1. Foundations of Machine Learning: Preprocessing, Supervised Learning, and Beyond
2. Mastering Machine Learning: Unsupervised Techniques, Model Evaluation, and More
3. Feature Engineering and Deep Learning: Unlocking the Power of Data
4. TensorFlow, Keras, and NLP: Building Bridges to Natural Language Understanding
5. Visualizing the Future: Computer Vision, Reinforcement Learning, and Ethical Dilemmas in AI
6. Model Evaluation and Validation in Data Science and Machine Learning
Additional Lectures : 2025
1. Advanced AI Techniques: Generative Models, Transfer Learning, and AI in Practice
Enroll now and learn today !
Who this course is for:
- All UG and PG Computer Science and Information Technology and Business Systems Domain Students
- Interested students to learn about the concepts of Fundamentals of Machine Learning (101 level)
Instructor
- 4.3 Instructor Rating
- 60,190 Reviews
- 618,019 Students
- 340 Courses
Achievements on Udemy : (UDEMY TOP BUSINESS BEST SELLER & FULL TIME UDEMY INSTRUCTOR)
[1] Enrolled over 618,000 students from 214 countries & 48+ Udemy Business (UFB) Courses for Business Subscription.
[2] Delivered a staggering 4.15 million course enrollments, with 12,430,007 minutes taught Including UFB Courses (Upto May' 2025).
[3] Offered a diverse array of 340 courses, covering Business, General Management, Leadership, IT, Software and Systems, Psychology, Education, and Media Studies.
Credentials and Qualifications of Dr. José:
Dr. José's extensive qualifications showcase his dedication to various fields:
[1] Earned a Ph.D. in Entrepreneurship & Business Management in 2019, contributing to the understanding of business dynamics.
[2] Holds an M.Phil. in Business & General Management, establishing a solid foundation in comprehensive management knowledge.
[3] Completed a Masters in Financial Markets in 2015, demonstrating expertise in financial systems.
[4] Acquired a Masters in Information Technology in 2013, equipping him with technological proficiency.
[5] Achieved a Masters in Human Resource Management (MBA) in 2011, highlighting organizational skills.
[6] Secured a Bachelors in Mathematics in 2009, emphasizing analytical and statistics prowess.
[7] Earned a Diploma in Teacher Education in 2006, showing dedication to education.
This diverse academic background positions Dr. José as a well-rounded and versatile professional.
Teaching Experience:
Dr. José is an accomplished expert with a wealth of teaching and industry experience:
[1] Currently he is working as a Researcher and Professor of Florida Christian University (FCU Online), Orlando, FL.
[2] Serves as a Senior Researcher, Professor, and Subject Matter Expert at UTEL University, Universidad Centro Panamericano de Estudios Superiores - México, IBS-BFSU (International Business School - Beijing Foreign Studies University) China.
[2] Holds the title of Honorary and Visiting Professor at NGCEF Australia, ISCIP Canada, and Judge of the Research center for the Internationalization of companies from emerging economies (I-CEE) & Global Forum on Business Case Study.
[3] Dr. José, Specializes in digital transformation teaching, innovative teaching, and project based strategies for startup teaching in digital platform ecosystems.
Instructional Design and Curriculum Development Experience:
Dr. José's instructional design and curriculum development contributions are noteworthy:
[1] Designed and developed more than 5 specialized Post Graduate Master Degree courses for International Business School - Beijing Foreign Studies University (IBS-BFSU).
[2] Expertise in corporate entrepreneurship, organizational innovation, and learning.
[3] Over 15 years of experience as a business and IT consultant for over 20 successful startup businesses.
[4] Designed, developed, and hosted over 200 corporate business websites since 2007, receiving over 10 awards for graphic and web design.
Interests of Teaching Topics:
Dr. José's teaching interests span a wide range of subjects:
[1] Conducted, supervised, and handled more than 10,000 UG, PG students since 2007.
[2] Led training sessions for undergraduate and postgraduate Master Degree graduates in areas such as Entrepreneurship Development, Business Management, Human Resource Management and Development, Marketing, Digital Marketing, Finance and Financial Markets, Economics, Statistics, Education, Psychology, Leadership and Personal Development, Multimedia, Information Technology, IEEE Domains, and Software Certification Courses.
[3] Regular Keynote Speaker at AEIC China and Whither Our Economies (WoE) Lithuania.
[4] Currently guiding 5 Ph.D. Scholars in Business Administration, Computer Science, and IT Domains.
Certifications, Research and Publications:
Dr. José boasts an impressive list of certifications, research, and publications:
[1] Completed more than 30+ Software, IT, and Business Certifications.
[2] Serves as an Editor of Science Direct PLAS Journal, Ai Scholar China and certified reviewer for several renowned publishers from Springer Nature, Online Wiley, Emerald & SAGE.
[3] Published over 50 research and review articles, 8-12 solo-authored full case studies, 4 book chapters, and numerous book reviews and some listed in WoS & Scopus Listings.
[4] Google Scholar Citation 100+ and Research Gate Score is 270.90 with 54+ Citations, 59,299+ reads, and 27 Research Recommendations.
[5] European Alliance for Innovation (EAI) Score is 16.
Honors and Awards:
Dr. José's accomplishments are celebrated with various honors and awards:
[1] Top Funding Project Writer.
[2] Top Researcher Award 2019-2024.
[3] Best Ph.D. Thesis Award 2018.
[4] Distinguished Young Scientist 2017.
[5] University Topper (2011-2012).
[6] Seven-time recipient of the FCB - Faculty Competency Building Award (2011-2018).
[7] Mr. Perfect Award in 2008.
International Memberships and Activities:
[1] Holds memberships in 35+ International academic and professional bodies, including IEEE (ID : 96447154), Oulu Entrepreneurship Society - Finland, AfSAE (ID: 256521), ISPIM (ID: 1374), ITPA (ID: 29660) and many more.
[2] Volunteers for Scopus, Web of Science, and ABDC Indexed journals.
[3] Serves as an editorial and reviewer board member for over 30+ journals and has reviewed 200+ articles since 2019.