- 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
Certificate in Machine Learning with Generative Artificial Intelligence
Gain expertise in Machine Learning and Deep Learning techniques with Machine Learning with Generative Artificial ...Read more
Online
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
Amity Future Academy, in collaboration with Berkeley Global, offers the Certificate in Machine Learning with Generative Artificial Intelligence course. The 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.
The highlights
- Industry-driven curriculum
- One-on-one mentoring
- Amity Future Academy Alumni status
- Practical exercises in Python and other data tools
- Capstone AI and ML Project
- Career guidance and support
- 24x7 access to LMS
- The comprehensive study material for reference
- Quality learning content from UC Berkeley
Program offerings
- Hands on experience
- Career assistance
- Case studies
- On the go learning
- 24/7 access
- Course completion certificate
- Dedicated mentor
- Dual certification
- Python
- Alumni status
- Industry driven curriculum
- 7 modules
Course and certificate fees
certificate availability
Yes
certificate providing authority
Amity Future Academy
Who it is for
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
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
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
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.