Effective MSc.

Artificial Intelligence, Machine and Deep Learning

100% Online | 15 mins a day | 10 months

About the program

  • Artificial intelligence, machine learning, and deep learning are rapidly evolving fields with transformative real-world applications.

  • The Effective MSc. Artificial Intelligence, Machine Learning and Deep Learning specialization equips students with essential skills to design, implement, and manage AI-driven solutions while navigating machine learning principles and leveraging Python programming.

  • This program combines theoretical knowledge, practical applications, and leadership insights, allowing students to drive meaningful progress in the field of artificial intelligence.
  • The curriculum addresses key topics such as supervised and unsupervised learning, neural networks, natural language processing, and data privacy compliance, ensuring graduates are well-rounded in both technical expertise and ethical considerations.

  • Part of this specialization's content are tips and information on steering approaches and work styles of successful company leaders, such as AirBnB, BuzzFeed, Microsoft, Adidas, Nike, Kraft Heinz Company, Tesla, JetBlue, Danone, Alphabet, SC Johnson, Infor, IBM, Reddit, YouTube, LinkedIn, Yum!, Carnival, Uber, Casper, Levi´s, Trivia and others.

Key study objectives

  • Adaptive Learning Models
    Stay ahead in the modern business world with modules that blend seamlessly with your work responsibilities and personal life, offering flexibility and relevance.
  • Practical and Actionable
    Gain hands-on experience designing, training, and deploying machine learning models and AI systems using tools like TensorFlow, Scikit-learn, and Power BI.
  • Duration and Flexibility
    This fully online program is structured for maximum flexibility, requiring just 15 minutes of daily learning over a period of 10 months. The focus on microlearning ensures efficiency and adaptability to your schedule. Details about our accreditation can be found here.
  • Foundational Concepts of AI and ML
    Develop a deep understanding of artificial intelligence and machine learning principles, including their history, key methodologies, and technical applications in diverse fields.

 AI, Machine and Deep Learning consists of 10 Modules

Effective MSc.

1. Artificial Intelligence and Machine Learning I.

Students will explore the history and technical approaches of AI and machine learning. The module covers topics like robotics integration, handling data, and distinguishing various types of machine learning. Key concepts include decision trees, overfitting, underfitting, and tuning hyperparameters. Students will learn to evaluate models, clean data, and apply algorithms such as logistic regression, random forest, and support vector machines. The course concludes with practical applications and challenges like model selection and measuring success.

2. Artificial Intelligence and Machine Learning II.

This module introduces students to explainable AI (XAI) and interpretable machine learning (IML). Topics include global and local explanation techniques, causal modeling, and Bayesian statistics. Students will learn to test model performance, detect multicollinearity, and understand reinforcement learning algorithms. They will also explore the differences between correlation and causation and strategies for model evaluation. Advanced concepts like the Monte Carlo method and temporal difference methods are also discussed.

3. Artificial Intelligence and Machine Learning III.

Students will examine key challenges in AI and the application of narrow AI in decision-making. They will study supervised and unsupervised learning, XAI principles, and its business implications. Topics include large language models, transformers in NLP, and algorithms like classification and regression trees. Practical applications cover text classification, BERT, and transfer learning. The module also highlights ethical concerns and justice in AI usage.

4. GDPR and Data Privacy

This module introduces the fundamentals of data privacy and GDPR compliance. Students will learn about privacy culture, essential GDPR training, and compliance strategies. It also covers tools and technologies for achieving GDPR compliance. Practical approaches to privacy in various scenarios are emphasized.

5. Information privacy within the US context

Students will explore privacy regulations in the US, including the CIPP/US certification modules. Topics include private sector and workplace privacy, government access to information, and state privacy laws. The course also covers the California Consumer Privacy Act (CCPA) and privacy in modern work environments. Practical examples and scenarios are provided for understanding compliance requirements.

6. AI and ML in practical applications

This module focuses on using tools like Power BI and Scikit-learn for AI and ML tasks. Students will analyze variables, time series data, and create interactive chatbots with Azure and Google Dialogflow. They will design chatbot architectures, integrate them with websites, and explore machine learning methods like regression and clustering. Practical exercises include building and sharing analysis and implementing AI visuals.

7. Python I.

Students will learn machine learning techniques using Python, including data collection, preparation, and model types. The course covers decision trees, regression, clustering, and association rules. Neural networks are introduced with guidance on building, training, and using them for segmentation tasks. Practical projects focus on creating classifiers and analyzing patterns in data.

8. Python II.

This module delves into advanced topics like regression, logistic regression, and natural language processing (NLP). Students will learn to clean data, engineer features, and build classifiers. Techniques such as word embeddings, RNNs, and doc2vec are explored. Practical exercises include comparing NLP methods and applying them to machine learning problems.

9. Deep learning and neural networks

Students will explore deep learning concepts, neural network architecture, and training techniques. Topics include TensorFlow applications, backpropagation, and managing overfitting. The course also covers convolutional neural networks, RNNs, and LSTMs. Practical exercises focus on building and optimizing models, spam detection, and visualizing network components in tools like TensorBoard.

10. Cybersecurity

This module introduces foundational cybersecurity concepts, workplace policies, and resources. Students will learn about phishing, malware, and key practices for security awareness. Practical examples focus on identifying threats and implementing effective policies to protect organizational data.

Is online Effective MSc. right for me?

Program Learning Outcomes

After completion of this program, you will stand out for your expertise in the following areas:

  • Expertise in Artificial Intelligence and Machine Learning: You will design and implement advanced AI and machine learning solutions for practical and business applications.
  • Proficiency in Data Privacy and Cybersecurity: You will ensure compliance with global data privacy standards, including GDPR and CCPA, and develop strategies to protect sensitive information. Your understanding of cybersecurity threats, such as phishing and malware, allows you to implement policies that safeguard organizational data.
  • Advanced Data Analysis and Visualization: You will analyze complex datasets and communicate insights using tools like Power BI and Scikit-learn.
  • Technical Mastery in Programming and AI Tools: You will utilize Python and frameworks like TensorFlow to develop AI and machine learning models.
  • Strategic Thinking and Problem-Solving in AI: You will address challenges like overfitting, data bias, and ethical dilemmas in AI applications.
  • Leadership and Collaboration in Technology Projects: You will lead initiatives to incorporate AI, machine learning, and data privacy solutions into organizational processes. Your ability to collaborate across teams and guide the implementation of secure, compliant systems makes you a valuable leader in technology and innovation.

Graduate profile

After completing this program, graduates can pursue roles such as AI Specialist, where they design and deploy artificial intelligence systems tailored to organizational needs, and Machine Learning Engineer, focusing on building, training, and optimizing machine learning models for various applications. As a Data Privacy Officer, they ensure compliance with regulations like GDPR and CCPA, protecting sensitive information, mitigating legal risks, and fostering a culture of privacy within organizations. In the role of Cybersecurity Analyst, they identify and neutralize threats, develop comprehensive security policies, and safeguard sensitive data from potential breaches. Graduates can work as Business Intelligence Analysts, leveraging advanced data visualization tools like Power BI to provide actionable insights that support strategic decision-making, or as Data Scientists, analyzing large datasets to uncover trends, solve complex problems, and drive innovation. As AI Product Managers, they oversee the development and implementation of AI-driven solutions, ensuring technical capabilities align with business goals and deliver measurable value. As Ethics and Compliance Consultants, they guide organizations in balancing technological advancements with ethical considerations, promoting responsible innovation and adherence to legal frameworks. Graduates can also become NLP Engineers, specializing in natural language processing for applications such as chatbots, text classification, sentiment analysis, and large language models. Lastly, they could pursue roles as Technology Policy Advisors, influencing and shaping AI-related policies to ensure ethical, equitable, and sustainable technological advancements on both national and global scales.
 

How does the Effective MSc. work?

How does the Effective MSc. work?

Obtain Professional Certificate

Graduates receive a completion certificate of the professional

Effective Course.

Boost your Professional career

Take your career growth and personal development to the next level.

Start your global Networking

Connect with people around the world and make valuable business connections.

TESTIMONIALS

Meet some of our students

"My industry-related management experience has been given further exposure and a solid foundation in marketing, finance, business innovation, and managerial accounting, thereby empowering an engineer like me to start a business with confidence."
Francis Nwajei, MBAMaintenance Engineering Manager
"EDU Effective MBA is one of the best affordable online MBA available currently. This Effective MBA course is comprehensive and designed to meet the requirements of working professionals, managers, and people aspiring to become managers. The modules and topics covered under this course are worth the value."
Lalit Bisht, MBASenior Project Manager
"Efficient, effective and good way of learning. We can study anytime and anywhere with high-quality materials and an excellent e-learning platform. I got many things from this program: academic knowledge, theory, and practical approaches obtained from experienced lecturers."
Donald H. Sitompul, MBAVice President of Development