ππ₯ Google just released 9 FREE Generative AI Courses!π
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β Introduction to Generative AI: An introductory-level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
Link: https://lnkd.in/gWD78CW9
β Introduction to Large Language Models: An introductory level microlearning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
Link: https://lnkd.in/g4wdBKHu
β Introduction to Responsible AI: An introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in its products. It also introduces Google's 7 AI principles.
Link: https://lnkd.in/gXCNePhA
β Introduction to Image Generation: This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Link: https://lnkd.in/gjjEGxcV
β Encoder-Decoder Architecture: This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering.
Link: https://lnkd.in/gesTXkgF
β Attention Mechanism: This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence.
Link: https://lnkd.in/g2evVK5Q
β Transformer Models and BERT Model: This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.
Link: https://lnkd.in/gveBJYq8
β Create Image Captioning Models: This course teaches you how to create an image captioning model by using deep learning.
Link: https://lnkd.in/gnb83AXy
β Introduction to Generative AI Studio: This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications.
Link: https://lnkd.in/gc7sPExG
Don't miss out on this incredible opportunity to learn from the best. Enroll in these free certification courses and take your skills to the next level! ππ
Join 'JOBS A TO Z' for job search tips.
#newyears #humanresources #google #microsoft #amazon #apple #facebook #jobsearch #opentowork #networkingtips #linkedintips #networking #entrepreneurship #india #technology #careers #startups #interview #job #recruitment #careers #Socialmedia #jobinterviews #openfornewopportunities #hiringengineers #softwareengineerjobs #jobopportunites #jobseekers #linkedin #recruiters #jobs
Reshare with your network to help more folks.
β Introduction to Generative AI: An introductory-level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
Link: https://lnkd.in/gWD78CW9
β Introduction to Large Language Models: An introductory level microlearning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
Link: https://lnkd.in/g4wdBKHu
β Introduction to Responsible AI: An introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in its products. It also introduces Google's 7 AI principles.
Link: https://lnkd.in/gXCNePhA
β Introduction to Image Generation: This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Link: https://lnkd.in/gjjEGxcV
β Encoder-Decoder Architecture: This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering.
Link: https://lnkd.in/gesTXkgF
β Attention Mechanism: This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence.
Link: https://lnkd.in/g2evVK5Q
β Transformer Models and BERT Model: This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.
Link: https://lnkd.in/gveBJYq8
β Create Image Captioning Models: This course teaches you how to create an image captioning model by using deep learning.
Link: https://lnkd.in/gnb83AXy
β Introduction to Generative AI Studio: This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications.
Link: https://lnkd.in/gc7sPExG
Don't miss out on this incredible opportunity to learn from the best. Enroll in these free certification courses and take your skills to the next level! ππ
Join 'JOBS A TO Z' for job search tips.
#newyears #humanresources #google #microsoft #amazon #apple #facebook #jobsearch #opentowork #networkingtips #linkedintips #networking #entrepreneurship #india #technology #careers #startups #interview #job #recruitment #careers #Socialmedia #jobinterviews #openfornewopportunities #hiringengineers #softwareengineerjobs #jobopportunites #jobseekers #linkedin #recruiters #jobs
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π Location: Chennai
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π Eligibility:
β’ Students pursuing a Bachelor's Degree in a relevant discipline
π Location: India
πΌ Experience: Students / Freshers
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β Mentorship from Experienced Engineers
β Strong Learning Opportunity
π Selection Process:
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