Machine Learning And Generative AI

Amity University Online (AU Online) acts as a panacea for higher education programs in the domain of online learning transcending all the barriers by granting access to millions of students around the globe. The Amity University Online (AU Online) offers numerous online undergraduate, postgraduate, diploma, and certificate courses through online mode of learning enabling candidates from different backgrounds and different locations to learn and master relevant skills required for clinching leadership positions around the globe. Students around the globe have golden opportunities to pursue and gain the knowledge and skills required to navigate businesses through all the intricacies and challenges of the domain and vital for their personal and professional growth.

Machine Learning (ML) and Generative AI are not the trends of the future, they are happening right now! Candidates around the globe who are passionate about technology can pursue the certificate program in Machine Learning and Generative AI offered by Amity University Online spans 8 months to 12 months (1 Year) duration with flexible modes of learning. Throughout, the educational journey, candidates develop relevant skills by mastering comprehensive modules that delve deep into data engineering, foundations of machine learning, machine learning models, deep learning, machine learning on AWS, and Generative AI. candidates also gain practical experience with industry-specific tools and techniques that include Scikit-learn, VAEs, transformers, GANs, AWS services, and TensorFlow.

Amity University Online (AU Online) is one of the pioneer private universities and was established in Noida, Uttar Pradesh in 2005 with a motive to offer quality education in higher studies with flexible modes of learning. Furthermore, AU Online welcomes applications from every corner of the globe and the university allows international students to enroll in their desired courses from their home countries without being physically present at the campus to attain their desired courses.

What is Machine Learning (ML) and Generative AI?

The online certification program in Machine Learning (ML) and Generative AI is a professional certification span of 8 to 12-month duration program. The Amity Univerity online offers a program to empower learners with a comprehensive knowledge of the journey with theoretical and practical knowledge. The comprehensive curriculum of the program covers six modules that delve into the rules of machine learning (ML), including engineering, system mastering models, deep learning, machine learning on AWS, and Generative AI. students including working professionals will gain practical experience with industry-oriented tools and techniques, including TensorFlow, sci-kit-research, AWS offerings, GANs, VAEs, and transformers. With real-lifestyle tasks and the support of technology like ChatGPT and Dall-E.

Advantages of Pursuing an Online Machine Learning (ML) and Generative AI

• Candidates can master the program with a flexible mode of learning at their own pace by setting their schedule.
• Online mode of learning enables candidates to access the coursework anywhere and anytime.
• Throughout the educational journey candidates gain relevant expertise that is in high-demand ML and AI technologies.
• Throughout the educational journey, candidates will engage themselves in real-world projects to build a strong portfolio.
• Students will learn the curriculum of the program from globally renowned faculty members along with industry experts.
• The university provides several career opportunities to students by connecting them with peers and industry experts through online and secure platforms.
• The detailed curriculum of the program lets students develop relevant skills through which they can enhance their career opportunities in different industries of the tech field.

Comprehensive curriculum of the program

The program's comprehensive curriculum is a composition of 6 advanced modules enabling candidates to learn and develop relevant skills including analytical skills, critical thinking, and problem-solving skills, and assume leadership roles in different industries of the tech world. Let’s explore:

Module 1

• Artificial Intelligence (AI)
• Machine Learning (ML)
• ML Application: Retail, Netflix, Healthcare Case, and More.
• Introduction to Python, Pandas, NumPy, and Project.

Module 2

• Data and Data Distribution
• Data Visualization
• Data Visualization with Matplotlib
• Data Pre-processing
• Data Transformation
• Data Reduction
• Data Preprocessing
• Principal Component Analysis
• Singular Value Decomposition
• LOF
• T-Distributed Stochastic Neighbor Embedding (t-SNE)

Module 3

• Classification and Regression
• Supervised Algorithms
• Linear Regression
• Regression
• Hold out Method
• Evaluation Methods
• Performance Metrics
• Naive Bayes
• K Nearest Neighbour
• Support Vector Machines
• Random Forest Classifier
• Ensemble Techniques
• Hypothesis Testing
• Project

Module 4

• Deep Learning
• Neural Networks
• Keras
• Perceptron & its uses
• Artificial Neural Networks (ANN)
• Multi-Layer Perceptron
• Deep Neural Network
• Activation Function
• Feedforward Network
• Learning of Neural Networks
• Cost Functions and Back Propagation
• Gradient Descent 
• Regularization 
• Dropout Technique
• Batch Normalization 
• Convolution Neural Networks (CNN) 
• Recurrent Neural Networks (RNN) 
• Long Short-Term Memory 
• Gated Recurrent Units (GRU) 
• Transfer Learning 
• Natural Language Processing 
• Computer Vision 
• Open CV 
• Image Processing 
• Video Processing 
• Face Recognition 
• Smile Detection 
• Project

Module 5

• AWS 
• AWS Computing Services - EC2 & Lambda 
• AWS Storage Services - S3, 
• EFS AWS Sagemaker
• Machine Learning Pipeline in AWS Sagemaker 
• Model Deployment with AWS 
• Project

Module 6

• Generative AI
• Generative Adversarial Networks (GANs)
• Variational Autoencoders (VAEs)
• Diffusion Models,
• Transformers
• Generative AI use cases & applications
• Ethics of Generative AI, and More.

Specialization of Online Machine Learning (ML) and Generative AI

• Supervised Learning
• Unsupervised Learning
• Deep Learning
• Generative AI
• Reinforcement Learning
• Natural Language Processing (NLP)
• AI Ethics
• AI Applications
• Data Science Integration
• Advanced AI Topics