1. Career Essentials in Generative Al
https://www.linkedin.com/learning/paths/career-essentials-in-generative-ai-by-microsoft-and-linkedin
2. Career Essentials in Data Analysis
https://www.linkedin.com/learning/paths/career-essentials-in-data-analysis-by-microsoft-and-linkedin
3. Career Essentials in Project Management
https://www.linkedin.com/learning/paths/career-essentials-in-project-management-by-microsoft-and-linkedin
4. Career Essentials in Software Development
https://www.linkedin.com/learning/paths/career-essentials-in-software-development-by-microsoft-and-linkedin
5. Career Essentials in Business Analysis
https://www.linkedin.com/learning/paths/career-essentials-in-business-analysis-by-microsoft-and-linkedin
6. Career Essentials in System Administration
https://www.linkedin.com/learning/career-essentials-in-system-administration-by-microsoft-and-linkedin/start-your-sysadmin-journey
7. Career Essentials in Administrative Assistance
https://www.linkedin.com/learning/paths/career-essentials-in-administrative-assistance-by-microsoft-and-linkedin
https://www.linkedin.com/learning/paths/career-essentials-in-generative-ai-by-microsoft-and-linkedin
2. Career Essentials in Data Analysis
https://www.linkedin.com/learning/paths/career-essentials-in-data-analysis-by-microsoft-and-linkedin
3. Career Essentials in Project Management
https://www.linkedin.com/learning/paths/career-essentials-in-project-management-by-microsoft-and-linkedin
4. Career Essentials in Software Development
https://www.linkedin.com/learning/paths/career-essentials-in-software-development-by-microsoft-and-linkedin
5. Career Essentials in Business Analysis
https://www.linkedin.com/learning/paths/career-essentials-in-business-analysis-by-microsoft-and-linkedin
6. Career Essentials in System Administration
https://www.linkedin.com/learning/career-essentials-in-system-administration-by-microsoft-and-linkedin/start-your-sysadmin-journey
7. Career Essentials in Administrative Assistance
https://www.linkedin.com/learning/paths/career-essentials-in-administrative-assistance-by-microsoft-and-linkedin
LinkedIn
Career Essentials in Generative AI by Microsoft and LinkedIn Learning Path | LinkedIn Learning, formerly Lynda.com
Generative AI is reshaping industries by transforming how work gets done. This learning path puts you at the forefront of this creative revolution, covering content creation, key models, future trends, ethical considerations, and tools like Microsoft Copilot.โฆ
https://www.instagram.com/reel/DCBwoJLPdy4/?igsh=MWt4bGY0bXQ2cTJ3bw==
MIT, one of the world's top universities, offering free courses for 2024 .
1. Introduction to Computer Science and Programming Using Python.
The topics covered include a notion of computation, Python programming language, some simple algorithms, an informal introduction to algorithmic complexity, and data structures.
2. The Science of Uncertainty and Data
Topics cover the basic structure & elements of probabilistic models, random variables, their distributions means, and variances, probabilistic calculations, and inference methods.
3. Foundations of Modern Finance
The topics cover valuation of fixed income securities and stocks, risk analysis including APT and Efficient Market Hypothesis, and introduction to corporate finance and capital budgeting.
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Topics include basic analytical methods, applying basic probability models, statistics in supply chains, and formulating and solving optimization models.
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Topics cover ML problem principles, model implementation and analysis, selecting suitable models for various apps, and ML project implementation: training, validation, tuning, and feature engineering.
6. The Secret of Life
Topics include describing the building blocks of life and how their interactions influence structure and function in biology, as well as predicting genotypes and phenotypes using genetics data.
MIT, one of the world's top universities, offering free courses for 2024 .
1. Introduction to Computer Science and Programming Using Python.
The topics covered include a notion of computation, Python programming language, some simple algorithms, an informal introduction to algorithmic complexity, and data structures.
2. The Science of Uncertainty and Data
Topics cover the basic structure & elements of probabilistic models, random variables, their distributions means, and variances, probabilistic calculations, and inference methods.
3. Foundations of Modern Finance
The topics cover valuation of fixed income securities and stocks, risk analysis including APT and Efficient Market Hypothesis, and introduction to corporate finance and capital budgeting.
4. Supply Chain Analytics
Topics include basic analytical methods, applying basic probability models, statistics in supply chains, and formulating and solving optimization models.
5. Machine Learning with Python
Topics cover ML problem principles, model implementation and analysis, selecting suitable models for various apps, and ML project implementation: training, validation, tuning, and feature engineering.
6. The Secret of Life
Topics include describing the building blocks of life and how their interactions influence structure and function in biology, as well as predicting genotypes and phenotypes using genetics data.
๐1
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Hello Job Seekers,
Join us this evening at 7 PM for two exclusive masterclasses on AI/ML and Digital Marketingโabsolutely free!
These sessions will provide a comprehensive roadmap to help you achieve success as an AI/ML Engineer or Digital Marketer.
Topics and Registration Links:
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Date & Time: November 7, 2024, at 7 PM
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Role:- Banking Operations New Associate
Qualification:- Any Graduation
Job Location:- Chennai
Salary Package:- Upto 5 LPA โ 8 LPA
๐๐ฉ๐ฉ๐ฅ๐ฒ ๐ง๐จ๐ฐ๐
https://bit.ly/3YSQJ1w
Apply before the link expires
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Looking to level up your skills for free?
Check out this website offering free courses from top universities and global MNCs!
Gain valuable knowledge in fields like tech, data science, business, and moreโdirectly from renowned institutions. Perfect for students, job seekers, and lifelong learners.
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