Certification Name | Link |
---|---|
Career Essentials in Generative AI by Microsoft and LinkedIn | link |
Introduction to Artificial Intelligence | link |
Ethics in the Age of Generative AI | link |
Streamlining Your Work with Copilot (formerly Bing Chat/Bing Chat Enterprise) | link |
What Is Generative AI? | link |
Generative AI: The Evolution of Thoughtful Online Search | link |
Generative AI Fundamentals | link |
Introduction to Generative AI Studio | link |
Create Image Captioning Models | link |
Transformer Models and BERT Model | link |
Attention Mechanism | link |
Encoder-Decoder Architecture | link |
Introduction to Image Generation | link |
Introduction to Responsible AI | link |
Introduction to Large Language Models | link |
Introduction to Generative AI | link |
Certification Name | Link |
---|---|
ChatGPT Prompt Engineering for Developers | link |
Prompt Engineering with Llama 2 | link |
Finetuning Large Language Models | link |
Building and Evaluating Advanced RAG | link |
LLMOps | link |
LlamaIndex- Develop LLM powered applications with LlamaIndex | link |
Specialization Name | Course Name | Link |
---|---|---|
Google Advanced Data Analytics | Foundations of Data Science Go Beyond the Numbers: Translate Data into Insights Get Started with Python The Power of Statistics Regression Analysis: Simplify Complex Data Relationships The Nuts and Bolts of Machine Learning Google Advanced Data Analytics Capstone |
link link link link link link link |
Introduction to Data Science | What is Data Science? Tools for Data Science Data Science Methodology Databases and SQL for Data Science with Python |
link link link link |
IBM Data Science | Data Science Methodology Applied Data Science Capstone Data Visualization with Python What is Data Science? Databases and SQL for Data Science with Python Python for Data Science, AI & Development Tools for Data Science Machine Learning with Python Data Analysis with Python |
link link link link link link link link link |
Machine Learning | Machine Learning Foundations: A Case Study Approach Machine Learning: Regression Machine Learning: Classification Machine Learning: Clustering & Retrieval |
link link link link |
Python 3 Programming | Python Functions, Files, and Dictionaries Data Collection and Processing with Python Python Basics Python Project: pillow, tesseract, and opencv Python Classes and Inheritance |
link link link link link |
Agile Development | Agile Meets Design Thinking Running Product Design Sprints Hypothesis-Driven Development Agile Development in Practice (Project-centered Course) Managing an Agile Team |
link link link link link |
DevOps on AWS | AWS Cloud Technical Essentials DevOps on AWS: Code, Build, and Test DevOps on AWS: Release and Deploy DevOps on AWS: Operate and Monitor |
link link link link |
Advanced Data Science with IBM | Fundamentals of Scalable Data Science Advanced Machine Learning and Signal Processing Applied AI with DeepLearning Advanced Data Science Capstone |
link link link link |
Certification Name | Link |
---|---|
Regression Analysis: Simplify Complex Data Relationships | link |
Getting Started with AWS Machine Learning | link |
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | link |
Build your first Search Engine using AWS Kendra | link |
Introduction to Machine Learning in Production | link |
Natural Language Processing in TensorFlow | link |
Algorithms on Strings | link |
Bayesian Statistics: From Concept to Data Analysis | link |
Neural Networks and Deep Learning | link |
Algorithms on Graphs | link |
Algorithmic Toolbox | link |
Digital Signal Processing | link |
Neural Networks for Machine Learning | link |
Serverless using AWS Lambda for Python Developers | link |
Learning Microsoft Azure Step by Step Part 1 | link |
Modern Natural Language Processing in Python | link |
Introduction to Data Science using Python | link |
AWS Essentials | link |
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