Post Graduate Program in AI and Machine Learning
4.500,00 EUR
- 370 hours
Ride this wave and accelerate your career with this acclaimed AI and Machine Learning program. This program features a thorough mix of theory, projects, and extensive hands-on practice while leveraging Purdue's academic excellence. More importantly, you’ll learn about not only the theoretical underpinnings of AI and ML but also gain the practical know-how to quickly and successfully apply these tools and techniques to new problems. This program is a blend of self-paced online videos, live virtual classes, hands-on projects, labs, and masterclasses. Mentorship sessions will provide you with a high-engagement learning experience and real-world applications, helping you master essential AI and ML skills. This program covers essential mathematical and statistical concepts, as well as Python programming, machine learning, deep learning, generative AI, prompt engineering, explainable AI, ChatGPT, computer vision, natural language processing, and more.
Key Features
Course and material are in English
Beginner - Advanced level for aspiring professional
11 months online bootcamp live class and eLearning
1 year access to learning platform & class recordings
Live-online masterclasses delivered by Purdue faculty and prominent industry experts
370 hours recommended study time
Master's Degree certification upon completion from Purdue University
Access to Purdue’s alumni association membership on program completion
3 capstones and 25+ hands-on projects from various industry domains
Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
Exclusive hackathons and Ask Me Anything sessions by IBM
About the course
This Post Graduate Program in AI and Machine Learning, developed in collaboration with Purdue University, leverages over 150 years of academic excellence from one of the world's top research and teaching institutions. Recognized for its commitment to student success, Purdue enhances learning through increased faculty-student interaction and innovative technology use.
This program equips you with the skills to launch a career in Artificial Intelligence, Machine Learning, and Deep Learning.
Upon successful completion, you will:
- Earn a joint certificate from Simplilearn and Purdue University.
- Become eligible for membership in the Purdue Alumni Association.
Learning Outcomes
At the end of this Post Graduate Program in AI and Machine Learning, you will be able to:
Generative AI
Gain industry-relevant skills on the latest trending AI topics such as generative AI, GPT, explainable AI, and generative modeling
NumPy and Scikit
Gain expertise in mathematical computing using the NumPy and Scikit-Learn package
Supervised & Unsupervised
Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modeling
Meaning
Understand the meaning, purpose, scope, stages, applications, and effects of AI
ML models
Validate machine learning models and decode various accuracy metrics
Data Science
Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing
Keras and TensorFlow
Master advanced topics, such as Keras and TensorFlow, elements of a Keras model, Keras on GPU, and more
SciPy package
Perform scientific and technical computing using the SciPy package and its sub-packages, such as Integrate, Optimize, Statistics, IO, and Weave
AWS Sagemaker
Build deep learning models on the cloud using AWS Sagemaker
Deep Learning
Implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction which will empower you to understand data like never before
NLP dan NLTK
Understand the fundamentals of natural language processing (NLP) using the most popular library, Python’s Natural Language Toolkit (NLTK)
Deep learning models
Deploy deep learning models with Flask/Django, Kubernetes, and serverless environments like Docker and SageMaker
Learning Path
Foundations: Programming Refresher
Course 1
Foundations: Python for Data Science (IBM)
Course 2
Core: Applied Data Science with Python
Course 3
Core: Machine Learning
Course 4
Core: Deep Learning with TensorFlow /IBM
Course 5
Core: Deep Learning Specilization
Course 6
Core: Essentials of Generative AI, Prompt Engineering & ChatGPT
Course 7
Advanced Deep Learning and Computer Vision
Elective Course
Natural Language Processing and Speech Recognition
Elective Course
Reinforcement Learning
Elective Course
Advanced Generative AI
Elective course
Projects during the course
Projects
Who Should Enroll in this Program?
This program caters to professionals from a variety of industries and backgrounds. The diversity of our students adds richness to class discussions and interactions. Roles in this space require experience and an understanding of tools and technologies. This program is ideal for professionals looking for a career transition into the field of AI and ML, who have knowledge or prior experience in programming and mathematics, and an analytical frame of mind.
AI / ML Engineer
Software engineer
Technical Lead
Students in UG/ PG programs
Eligibility and Application Process
Eligibility Criteria
For admission in this program, candidates should have:
- A bachelor’s degree with an average of 50% or higher marks
- Prior knowledge or experience in programming and mathematics
- Preferably 2+ years of formal work experience
Application Process
- Step 1: Submit Application
- Complete the application and include a brief statement of purpose. The latter informs counselors why you are interested and qualified for the program.
- Step 2: Application Review
- A panel of admissions counselors will review your application and statement of purpose to determine whether you qualify for acceptance.
- Step 3: Admission
- An offer of admission will be made to qualified candidates. You can accept this offer by paying the program fee.
Exam & Certification Information
Upon successful completion of this program, you will receive a certificate of completion from Caltech CTME. You will also receive IBM certificates for all IBM courses, along with certificates for the courses completed in the learning path. These certificates will testify to your skills as an AI and ML expert.
Statements
Licensing and accreditation
Post Graduate Program AI and Machine Learning is offered by Simplilearn in collaboration with Purdue University according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
Simplilearn does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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