Certificate in Machine Learning with Generative Artificial Intelligence by Amity Future Academy: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based

Course overview

Amity Future Academy, in collaboration with Berkeley Global, offers the Certificate in Machine Learning with Generative Artificial Intelligence course. The 12-month-long course aims to hone skills, enhance machine learning (ML) and deep learning competency, and provide in-depth knowledge for handling popular platforms and languages.

Industry leaders from data science, deep learning, and machine learning domains teach the course. The

Certificate in Machine Learning with Generative Artificial Intelligence course covers topics like ML techniques using Python, deep learning-neural networks, exploratory data analysis, Keras and TensorFlow, and more. After the completion of the programme, students will gain expertise in the critical concepts of AI, deep learning, ML, data science, and data mining. Candidates will be adept at making strategically essential decisions in their professional domain with Machine Learning techniques, various algorithms, and models.

Students will get access to an industry-driven comprehensive curriculum featuring a capstone project, four case studies, assignments, and quizzes. Learners will receive dual certification from UC Berkeley and Amity Future Academy after finishing the Machine Learning with Generative Artificial Intelligence course.

Course and certificate fees

certificate availability

Yes

certificate providing authority

Amity Future Academy

Who it is for

Entrepreneur Statistician Data scientist

The Machine Learning with Generative Artificial Intelligence course can be pursued by:

Fresh graduates from mathematics/ engineering/ IT background
Entrepreneurs aspiring to create new products or services in the AI and ML space
Engineer
Data Analyst
Data Scientist
ML Engineer

Eligibility criteria

Education

Only BE/ B.Tech/ BCA/ MCA/ B.Sc. (Maths)/ M.Sc. (Maths) degree holders with a minimum of 50% aggregate marks can apply to the Machine Learning with Generative Artificial Intelligence course. Applicants with an academic background in maths and statistics will be given preference.

Work experience

Candidates also need to have at least two years of full-time work experience after completing their degrees. Moreover, a basic understanding of computer programming (in Java, C, C++, Python, Ruby, or Javascript) is required. However, the work experience requirement will be relaxed for meritorious (CGPA> 7/10) students.

Certificate Qualifying Details

Furthermore, to get the Machine Learning with Generative Artificial Intelligence course certification by Amity Future Academy, candidates must finish the curriculum, assignments, tests, case studies, and quizzes. Besides, candidates have to complete the capstone project and then submit a detailed report with a presentation, to get it approved.

What you will learn

Knowledge of artificial intelligence Machine learning Knowledge of deep learning Knowledge of data mining Data science knowledge

After the completion of the Machine Learning with Generative Artificial Intelligence course certification syllabus, you will be able to:

Have a strong understanding of the key concepts of artificial intelligence, machine learning, data mining, deep learning, and data science
Become an in-demand certified professional in the growing market of Artificial Intelligence and Machine Learning.
Lead ML models and discover data-rich insights into complex problems
Develop and deploy smart AI and ML-based solutions using the required languages and platforms by leveraging your innovative ability.
Make strategic business decisions using ML models, tools, techniques, and algorithms.

The syllabus

Module 1 - Introduction to Machine- Learning

Machine Learning Overview
Types of Machine Learning Techniques
Applications of Machine Learning
Machine Learning Algorithms
Probability and Statistics
Python Basics
Linear Algebra
Descriptive analysis
Pandas, Numpy and Matplotlib

Module 2 - Exploratory data analysis

ntroduction to Data and Data Distribution
Data Visualization
Data Pre-processing
Data Transformation
Data Reduction
Feature Extraction
Distance Measurement

Module 3 - Supervised Learning Techniques

Linear Regression
Multiple Linear Regression
Logistic Regression
Hypothesis testing
Bias and Variance
Underfitting and Overfitting
Evaluation Methods
Performance Metrics
Naive Bayes Algorithm
KNN
Decision Tree
Support Vector Machine
Random Forest

Module 4 - Unsupervised Learning Techniques

Introduction to Clustering
Hierarchical Clustering
DBSCAN
Anomaly Detection
K-Means
Association Mining Rule
PCA
SVD
LOF

Module 5 - Deep learning - Neural networks

Introduction to ANN
MLP & Deep Neural Networks
Activation Functions
Cost Function
Feed forward Networks
Gradient Descent
Regularization
Back Propagation
Convolution Neural Networks
Recurrent Neural Networks
LSTM
GRU
Transfer Learning

Module 6 - Deep Learning- NLP & Computer vision

Introduction to NLP
Syntactic analysis
Semantic analysis
Bag of Words
Word Embeddings
Applications of NLP
Introduction to Computer Vision
Basics of OpenCV
Image Processing
Image Transformation
Feature Extraction

Capstone Project

Admission details

Here is the Machine Learning with Generative Artificial Intelligence classes admission steps:

Step 1: Log on to Amity Future Academy’s official website at https://www.amityfutureacademy.com/programs/postgraduate-machine-learning

Step 2: Find the “Post Graduate Program in Machine Learning and Artificial Intelligence”.

Step 3: On the course webpage, fill in the “Apply Now” column.

Step 4: Complete the three sections of the form by filling in your personal details, work experience details, and payment options.

Step 5: Once you submit the form, you will receive a screening call from the Admission Director’s Office.

Step 6: The final application is then shared with the admission committee for approval.

Filling the form

You can apply for the Machine Learning with Generative Artificial Intelligence course only by logging-in to the official website of Amity Future Academy. To be able to log-in, you will have to register on the website first, which you can do by filling in your details, including your mobile number and email ID.

How it helps

The Machine Learning with Generative Artificial Intelligence course certification benefits will allow you to access the course content from UC Berkeley, which is one of the most prestigious universities in the world. You will get 24x7 access to the online learning resources; case studies and projects will enable you to grasp the real-world applications of AI and ML.

The course also includes career assistance through the virtual job fair. After the completion of this course, you can work as a junior data analyst, machine learning practitioner, or modeling data analyst.

Instructors

Mr Ashish Gilotra
Instructor
Freelancer

M.E /M.Tech.

Mr Naveen Bhansali
Data Analyst
Dell

Ms Sakshi Babbar
Instructor
Freelancer

Mr Pranav Shastri
Program Director
Freelancer

Ph.D

FAQs

How can I learn more about this course?

You can learn more about this course by reaching out to Amity Future Academy’s support at pgdmlai@amityonline.com, calling on +91-844-809-37-46, or by clicking on the ‘Request a Call back’ button on their website.

Do the students receive career assistance after the completion of the program?

Yes, the students will receive career assistance through the Amity Future Academy’s recruitment partners.

What’s the time commitment required for course completion?

The time completion commitment is 7 - 10 hours every week.

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