Bertelsmann Udacity - Foundation of Generative AI (Nanodegree)

Type: All, Certificate, Training, Course
Description: The nanodegree involves the core concepts of Machine Learning (ML), Deep Learning (DL), Generative AI (GenAI), Large Language Model (LLM), Deep Learning, Autoencoder, Transfer Learning, Retrieval-Augmented Generation (RAG), Prompt Design, PyTorch and Hugging Face. https://www.udacity.com/enrollment/nd608-bmann-nextgen-challenge
Offering Organisation: Udacity
Funding Organisation: Bertelsmann
Key Information:
- Foundation of Generative AI (Nanodegree by Udacity)
- Funded by Bertelsmann Next Generation Tech Booster Scholarship (Phase 1 - Winter 2024)
- Among a few chosen students from a challenge entrance test.
- Wroth more than $1,500.
- 9 weeks duration, 2 online courses, regular community sessions.
- Knowledge gained: Machine Learning (ML), Deep Learning (DL), Generative AI (GenAI), Large Language Model (LLM), Deep Learning, Autoencoder, Transfer Learning, Retrieval-Augmented Generation (RAG), Prompt Design, PyTorch and Hugging Face.
Date: Dec. 27, 2024
Link: https://www.udacity.com/certificate/e/e64be942-b7bc-11ef-acf9-032337cdf8f6

AWS Udacity - AI Programming with Python (Nanodegree)

Type: All, Certificate, Training, Course
Description: Develop the skills to build and deploy machine learning models in production environments using Amazon SageMaker. Understand the foundations of data science and machine learning as you explore Amazon SageMaker's latest features for model design and deployment. Engage in hands-on projects and case studies that mirror real-world scenarios, applying best practices to create scalable, production-ready machine learning solutions. Enhance your expertise in areas such as data preprocessing, model training, and deployment pipelines. Learn to leverage Amazon SageMaker's capabilities, including its integrated development environment, automated model tuning, and deployment services. This program is designed to advance your career by providing practical experience in deploying ML models at scale. https://www.udacity.com/course/aws-machine-learning-engineer-nanodegree--nd189
Offering Organisation: Udacity
Funding Organisation: Amazon Web Services (AWS)
Key Information:
- AWS Machine Learning Fundamentals (Nanodegree by Udacity)
- Funded by AWS AI/ML Scholarship (Phase 2 - Summer 2024)
- Among chosen 500 students from Scholarship Phase 1.
- Wroth more than $4,000.
- 5-month duration, 4 online courses, weekly connect sessions
- Knowledge gained: Machine Learning (ML), Deep Learning (DL), Convolutional Neural Network (CNN), ML Workflow with AWS (preprocessing to deployment automation), and related optimisation techniques using the AWS cloud platform
- 4 projects with ML, DL and AWS cloud platform
Date: Aug. 21, 2024
Link: https://www.udacity.com/certificate/e/c6151de6-f6c0-11ee-8441-f3e7a07bb9c6

AWS Udacity - AWS Machine Learning Fundamentals (Nanodegree)

Type: All, Certificate, Training, Course
Description: Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experience with deep learning frameworks by applying your skills through hands-on projects. Explore generative AI with Transformer neural networks, learn to build, train, and deploy them with PyTorch, and leverage pre-trained models for natural language processing tasks. Designed for individuals with basic programming experience, this program prepares you for advanced studies in AI and machine learning, equipping you with the skills to begin a career in AI programming. https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
Offering Organisation: Udacity
Funding Organisation: Amazon Web Services (AWS)
Key Information:
- AI Programming with Python (Nanodegree by Udacity)
- Funded by AWS AI/ML Scholarship (Phase 1 - Winter 2023)
- Among chosen 2,000 students from the "AWS Deep Racer" challenge.
- Wroth $4,000.
- 5-month duration, 6 online courses, weekly connect sessions
- Knowledge gained: Python programming, Machine Learning (ML), Deep Learning (DL); different data manipulation, visualisation, ML and DL libraries; Pytorch package for transformer and custom DL models
- 2 computer vision projects with DL
Date: Dec. 24, 2023
Link: https://www.udacity.com/certificate/e/cd685072-6c23-11ee-b29b-435ec8fc0b14

Microsoft - Microsoft Certified: Azure AI Fundamental (AI900)

Type: All, Certificate
Description: This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material. This certification is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of: Basic cloud concepts Client-server applications You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them. You may be eligible for ACE college credit if you pass this certification. See ACE college credit for certification exams for details. Skills measured: Describe Artificial Intelligence workloads and considerations Describe fundamental principles of machine learning on Azure Describe features of computer vision workloads on Azure Describe features of Natural Language Processing (NLP) workloads on Azure Describe features of generative AI workloads on Azure. https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/?practice-assessment-type=certification
Offering Organisation: Microsoft
Funding Organisation: Deakin University
Key Information:
- Offered by Akkodis (Microsoft Skills and Certification Bootcamp 2024)
- 2 weeks training + certificate exam voucher
- Microsoft Azure, Azure cloud platform, Azure AI, Applid ML, Generative and responsible AI
Date: Feb. 21, 2024
Link: https://learn.microsoft.com/en-us/users/emranali-5282/credentials/a7f4169ab0541879

Microsoft - Microsoft Certified: Azure Data Fundamental (DP900)

Type: All, Certificate
Description: This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. As a candidate for this certification, you should have familiarity with Exam DP-900’s self-paced or instructor-led learning material. This certification is intended for you, if you’re a candidate beginning to work with data in the cloud. You should be familiar with: The concepts of relational and non-relational data. Different types of data workloads such as transactional or analytical. You can use Azure Data Fundamentals to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it is not a prerequisite for any of them. You may be eligible for ACE college credit if you pass this certification. See ACE college credit for certification exams for details. Skills measured: Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure. https://learn.microsoft.com/en-us/credentials/certifications/azure-data-fundamentals/?practice-assessment-type=certification
Offering Organisation: Microsoft
Funding Organisation: Deakin University
Key Information:
- Offered by Akkodis (Microsoft Skills and Certification Bootcamp 2024)
- 2 weeks training + certificate exam voucher
- Microsoft Azure, Azure cloud platform, Azure AI, Applid ML, Generative and responsible AI
Date: Apr 28, 2024
Link: https://learn.microsoft.com/en-us/users/emranali-5282/credentials/a7f4169ab0541879

g·tec - BCI & Neurotechnology Spring School 2022

Description: g·tec, an Austria-based BCI hardware and software research and development company organised a 10-day long conference. It allows to let the researcher know what is going on in recent industry innovations.
Offering Organisation: g·tec
Funding Organisation: (N/A)
Key Information:
- g·tec Neurotechnology Spring School 2022
- 10 days, 130 hours, 12 credits
- Academic and industrial topics
- Healthcare, Games, VR, Sports, Entertainment, Production, Education & Research Industries
Date: May 20, 2022
Link: (N/A)

IEEE EMBS - Summer Camp 2022

Description: Institute of Electrical and Electronics Engineers (IEEE) Engineering in Medicine and Biology SocietyEMBS - Summer Camp 2022
Offering Organisation: IEEE EMBS - Summer Camp 2022
Funding Organisation: (N/A)
Key Information:
- IEEE EMBS - Summer Camp 2022
- EMBS Students Activities Committee
- 8 days, 24 hours
- Recent and trending research
- Healthcare, Sports, and Production industries related research
Date: Oct. 5, 2022
Link: (N/A)

LinkedIn Learning - Develop Critical-Thinking, Decision-Making, and Problem-Solving Skills

Description: Explore alternative solutions to problems to improve your logic, sharpen your judgment, and make better decisions through critical thinking. Discover how to question assumptions, apply sound reasoning, break down complex issues into manageable pieces, and grasp the implications of information. https://www.linkedin.com/learning/paths/develop-critical-thinking-decision-making-and-problem-solving-skills?u=2104084
Offering Organisation: LinkedIn Learning
Funding Organisation: (N/A)
Key Information:
- LinkedIn Learning
- Self-placed learning path
- 7 courses in the learning path
- Total approximately 9 hours of learning
- Section and course wise test
Date: Feb. 27, 2023
Link: https://www.linkedin.com/learning/certificates/8b5379ed7e8eafb72cb73af63ffe34faf18af49877ba634f01df163757c912d6

ATN Frontiers - Digital Futures: Data Analytics Advanced and Applied

Description: We live in a data-driven world. Learn how to use data to tell a meaningful story that informs, or make better decisions. Data analytics and communication capabilities are important across sectors – from STEM research, government policy, retail, universities, to sporting clubs and more – intelligent analysis of data is a core component of making better and more informed decisions. Building on the foundation of Level 1, this module focuses on approaches essential for wrangling and analysing numeric and textual data contained in databases – as well as concepts and techniques for visualising and communicating data. You will learn through a dynamic blend of engaging webinars, self-study materials, practice tasks, and collaborative teamwork. Learn to use Structural Query Language (SQL) to extract, organise and summarise data; also learn the basics of regular expression (regex) to extract and filter relevant textual data. Experiment with the role of AI in assisting you; also understand the promises and perils of the current state of this evolution. Combine these individually powerful tools with principles of data visualisation and storytelling to transform information into inspiration. Learning Outcomes Upon completing this module you will be able to: Extract information from text such as spreadsheets, documents, web pages or log files (Regex) Query information from relational databases to find, link, filter, and sort data (SQL) Visualise information into a meaningful summary and story that is fit for purpose Tell a story that is purposeful using all the above https://www.atn.edu.au/atn-frontiers/digital-futures/
Offering Organisation: Australian Technology Networkd of Universities
Funding Organisation: Deakin University
Date: Jul 7, 2023
Link: (N/A)
Key Information:

ATN Frontiers - The Future of Data - Data Analytics: Concepts, Principles and Practice

Description: Designed to shape how you think, feel and act in relation to data, this module will increase your ability to navigate and prepare for the demands of professional roles in our data-driven world. This module provides a series of self-directed learning experiences and facilitated workshops designed to increase your awareness and adoption of useful practices for the effective, efficient and ethical use of data. It scaffolds 8 topical categories in a sequence of self-paced and/or blended-learning workshop sessions, across a five-week period: Concepts, Drivers & Trends: Defining key ideas and principles relating to data, analytics and modelling [self-directed] Privacy, Security, Ethics [self-directed] Responsible Data Management [self-directed] From Question to Data to Insights [self-directed] Data Analytics Toolkit: Introducing principles, aids and insights for coding and analytics by syntax. [self-directed] Start to Code: Overview and hands-on Python, markdown, Jupyter Notebooks and Kaggle. [blended: self-directed + interactive workshop] Explore, Describe, Visualise: Convert and communicate data through graphic representation. [blended: self-directed + interactive workshop] Tests, Models, Predict: Demonstrating basic analytical computations using the Analytics Toolkit. [blended: self-directed + interactive workshop] Learning hours: Total of approximately 8-10 hours of learning across 4 weeks. Your learning will consist of approx. 7 hours of asynchronous online learning within the OpenLearning platform + 3 hours of synchronous learning in a series of live online facilitated workshops with your expert facilitators (dates and times in the 2024 Delivery Dates section below). https://www.atn.edu.au/atn-frontiers/the-future-of-data/
Offering Organisation: Australian Technology Networkd of Universities
Funding Organisation: Deakin University
Date: Mar 26, 2023
Link: https://opencreds.openlearning.com/c19d0789-20db-4402-b40f-d4fe9ac777ed#gs.he0ef5
Key Information:

Kaggle - Intermediate Machine Learning

Description: Intermediate Machine Learning Handle missing values, non-numeric values, data leakage, and more. https://www.kaggle.com/learn/intermediate-machine-learning
Offering Organisation: Kaggle
Funding Organisation: (N/A)
Key Information:
- Offered by Kaggle
- 14 hours, 7 Lessons
- Lessons + hands on practice test
- Intermediate level knowledge of ML: data preparation, cross validation, XGBoost, data leackage
Date: Jul 5, 2024
Link: https://www.kaggle.com/learn/certification/wwmemran/intermediate-machine-learning

Section Leader - Code in Place 2023

Description: CS106A is one of the most popular courses at Stanford University, taken by almost 1,600 students every year. It has been developed over the last 30 years by an amazing team, including Nick Parlante, Eric Roberts and more. The course teaches the fundamentals of computer programming using the widely-used Python programming language. This course is for everyone from humanists, and social scientists, to hardcore engineers. What makes Code in Place special? We recruit and train one volunteer teacher for every 10 students in order to create a vibrant community of teaching and learning. We believe that the magnitude of people who want to teach computer science is large and may be roughly proportional to the magnitude of people who want to learn. Why? Teaching is joyful and teaching is the best way to learn both content and team-leading skills. We do hope this course inspires more human-centred learning for all. https://codeinplace.stanford.edu/
Offering Organisation: Standford Online
Funding Organisation: (N/A)
Key Information:
- Offered by Standford University (online)
- 6 weeks, 1.5 hours session per week
- Instructed students to help them learn Python
- Teaching a variety of students from diverse backgrounds
Date: Apr 1, 2023
Link: https://digitalcredential.stanford.edu/check/3AB800648525EE445912F5275AE78CFDB5C8E71BB33E7E2AF5501C649FAD837EL2x5NlgxQ0txV1QzR3VjTjBSckd0YkN3SzZtbzJpOURDbXdJYmxaR3BkbW9LaGxp

AppsBroker Academy - Google Cloud Fundamentals: Core Intrastructures

Description: (N/A)
Offering Organisation: AppsBroker Academy
Funding Organisation: (N/A)
Key Information:
- 5-hour dedicated session
- Google Cloud Fundamentals
- Google Cloud Infrastructures
- Google Cloud IaaS
- Part-wise lab and test
Date: Apr 25, 2022
Link: (N/A)

Great Learning Academy - Datascience Foundation

Description: The Data Science Foundations course proffers your knowledge on the introduction to the subject and gives you insights into the different phases of its life cycle. The course covers topics about various tasks carried out in Data Science and different programming languages that are compatible to work with to accommodate the tasks efficiently, and Machine Learning, contributing to the dynamic behavior of machines and making significant associations with DS. The analytics landscape is another significant component within an organization, which you will learn in the latter part of the course, to understand workflow and asset distribution thoroughly. You will have to take an assessment to test your gain on the subject. The course also provides you with study materials for your reference at any given point after enrolling in it. https://www.mygreatlearning.com/academy/learn-for-free/courses/data-science-foundations
Offering Organisation: Great Learning Academy
Funding Organisation: (N/A)
Key Information:
- Great Learning Academy - Free course
- Data science concepts
- Python, Numpy, Pandas
- Section-wise test
Date: Apr 1, 2022
Link: https://www.mygreatlearning.com/certificate/VOJHGZGI

Great Learning Academy - Python for Machine Learning

Description: The Python Programming for Machine Learning course shall focus on the elements and features available in Python programming for Machine Learning tasks, along with a few demonstrated samples. It shall begin with introducing you to the NumPy library and continue with helping you understand its arrays, intersection, differences, loading, and saving as you follow the first half of the course. The second part engages you by covering Pandas library and its objects, data frames, and functions. Take the quiz at the end of the course to test your skills and evaluate your gains to secure your free certificate. https://www.mygreatlearning.com/academy/learn-for-free/courses/python-for-machine-learning3
Offering Organisation: Great Learning Academy
Funding Organisation: (N/A)
Key Information:
- Great Learning Academy - Free course
- Machine learning concepts: Data cleaning, splitting, validation; Concepts of ML models; Result evaluation, scoring
- Python, Numpy, Pandas, Scikit-learn
- Section-wise test
Date: Apr 1, 2022
Link: https://www.mygreatlearning.com/certificate/MEQIVGAB

Great Learning Academy - Machine Learning Algorithms

Description: This online Machine Learning Algorithms course has been designed keeping in mind that a novice learner should be able to grasp the concepts and understand algorithms with examples. This course covers the introduction to Machine Learning and the basics of algorithms, along with a theoretical and practical understanding of supervised, unsupervised, and reinforcement learning. You will also gain skills to employ K-nearest Neighbor, Naive Bayes and Random Forest algorithms, and Linear Regression and Support Vector Machines (SVM) techniques to accomplish Machine Learning tasks. A tonne of practical Python demonstrations are offered to comprehend the concepts better. https://www.mygreatlearning.com/academy/learn-for-free/courses/machine-learning-algorithms
Offering Organisation: Great Learning Academy
Funding Organisation: (N/A)
Key Information:
- Great Learning Academy - Free course
- Machine learning models
- Classification, regression, clustering
- Section-wise test
Date: Apr 1, 2022
Link: https://www.mygreatlearning.com/certificate/DEJNIEJZ

• Great Learning Academy - Free course
• Machine learning models
• Classification, regression, clustering
• Section-wise test

Great Learning Academy - Introduction to Deep Learning

Description: This online Introduction to Deep Learning course aims to familiarize learners with all the crucial deep learning concepts currently being utilized to solve real-world problems. You will learn about the history and applications of Deep Learning and understand the role of the second wave in DL. Also, comprehend how ML differs from DL, go through the essential terms in Deep Learning called artificial neural networks, and comprehend the Deep Learning fundamentals. You will also go through the demo on Tensorflow Playground, CNN, and neural networks. Learn about the involvement of a basic set of layers in DL and learn about activation function and CNN. Gain knowledge regarding RNN, LSTM, types of chatbots, and conventional interfaces. Dig deeper into the concept of Deep Neural Networks and go through concepts like boolean gates, artificial neurons, Rosenblatt Neuron Perceptron, and artificial neural networks and their mechanism in detail with relevant demo and code examples. Eager to dive deeper into the Machine Learning field? Great Learning offers Best Artificial Intelligence and Machine Learning Courses that are highly valued by our learners. Enroll in the program of your interest and earn a certificate of course completion that validates your industrial skills. https://www.mygreatlearning.com/academy/learn-for-free/courses/introduction-to-deep-learning-1
Offering Organisation: Great Learning Academy
Funding Organisation: (N/A)
Key Information:
- Great Learning Academy - Free course
- Deep learning fundamentals
- ANN, CNN, convolution, pooling, softmax, learning. loss, back-propagation
- Section-wise test
Date: Apr 1, 2022
Link: https://www.mygreatlearning.com/certificate/MFLMYZNY

Great Learning Academy - Introduction to Tensorflow and Keras

Description: This Introduction to TensorFlow and Keras course will enrich your knowledge about all the essential Python libraries and guide you to install them step by step. It will start by explaining what TensorFlow is and its various functionalities. It will then take you to get a brief understanding of the prerequisites to understand tensors before moving on to the installation chapter. Once your concept of TensorFlow is clear, the course will have you navigate through Neural Networks and discuss how you can write Tensor code to perform distinct operations. Before wrapping up the course, you will also learn about the newer version (TensorFlow 2.x) and learn to perform Linear Regression using TensorFlow. In the last phase, the course will take you through the hands-on session, which will discuss two use cases and finally throw light on what Keras is, its features, character recognition, and image classification using CNN. https://www.mygreatlearning.com/academy/learn-for-free/courses/introduction-to-tensorflow-and-keras
Offering Organisation: Great Learning Academy
Funding Organisation: (N/A)
Key Information:
- Great Learning Academy - Free course
- Deep learning fundamentals; Libraries: Tensorflow, Keras
- Implementation with Keras and TensorFlow separately
- Section-wise test
Date: Apr 1, 2022
Link: https://www.mygreatlearning.com/certificate/XSVNGIBX

Intersect Australia - Data Manipulation with Python

Description: (N/A)
Offering Organisation: Intersect Australia
Funding Organisation: Deakin University
Key Information:
- Intersect Australia & Deakin University collaborative training
- 3 hours
- Python, Numpy, Pandas
Date: Mar 1, 2022
Link: (N/A)

Intersect Australia - Data Visualisation with Python

Description: (N/A)
Offering Organisation: Intersect Australia
Funding Organisation: Deakin University
Key Information:
- Intersect Australia & Deakin University collaborative training program
- 3 hours
- Python, Matplotlib, Seaborn, Fundamental and advanced graphs/plots
Date: Apr 1, 2022
Link: (N/A)