LinkedIn Learning offers 250 free AI courses for a limited time

LinkedIn has unveiled its 2024 Workplace Learning Report, revealing a growing interest in acquiring AI skills. Additionally, LinkedIn Learning introduces fresh career development and internal mobility features.

?The landscape of jobs is evolving, with skill requirements for the average global job projected to change by 51% by 2030 (since 2016), and the advent of generative AI is anticipated to accelerate this shift to 68%. Talent leaders play a crucial role in aiding individuals to develop the necessary skills to thrive in the AI era. However, despite 80% expressing a desire to learn more about integrating AI into their professions, companies are falling behind.

According to a recent survey, only 38% of U.S. executives are actively supporting their employees in becoming AI-literate. Stay updated on these industry insights and enhance your AI literacy with LinkedIn Learning and our website resources.

Exciting news! We are pleased to announce the unlocking of 250 AI courses, available in seven languages, until April 5. This initiative is designed to assist individuals from various industries, roles, and levels in investing in their personal and professional growth during this pivotal time. The demand for AI education is evident, with a remarkable 5x year-over-year increase in learner engagement with our AI content. Enhance your skills today on LinkedIn Learning and stay ahead in your career journey.

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Whether you’re aiming to?build general fluency in generative AI, empower your teams to?make GAI-powered business investments, or?upskill engineers to maintain and train AI models, we are here to help you meet any need or challenge.?

Explore these complimentary courses available in English, Brazilian Portuguese, French, German, Japanese, Mandarin, and Spanish. Enhance your learning experience by sorting courses based on your proficiency level—beginner, intermediate, or advanced. Take advantage of these free resources on LinkedIn and our website.

For any professional aiming to master generative AI and establish a strong foundation in responsible AI, our comprehensive courses on LinkedIn Learning and our website provide the ideal learning environment. Enhance your skills and stay ahead in your career with our industry-leading resources.

Elevate AI literacy for all

1. Responsible AI Foundations (Learning Path)

2. Developing Your Prompt Engineering Skills (Learning Path)

3. Integrating Generative AI into Business Strategy

4. Building AI Literacy (Learning Path)

5. Building Career Agility and Resilience in the Age of AI

Explore GAI for different roles:

For professionals looking to learn GAI skills relevant to their specific role.?

1. Build AI Aptitude as a Senior Manager?(Learning Path)

2. Building Generative AI Skills for Business Pros?(Learning Path)

3.Building Generative AI Skills for Creative Pros?(Learning Path)

4.Building Generative AI Skills for Developers?(Learning Path)

5.Generative AI, Recruiting, and Talent Acquisition

6.Leveraging Generative AI in Finance and Accounting

7.ChatGPT for Web Developers

For power users and tech audiences, GAI offers:

1.?Develop Your Skills with the OpenAI API?(Learning Path)

2.?Hands-On Projects for OpenAI-Powered Apps?(Learning Path)

3. Hands-On AI: Building LLM-Powered Apps

4.?Generative AI: Introduction to Large Language Models

5.?Machine Learning with Python: Foundations

6.?Build Your Own GPTs

Tailor your AI expertise to suit the needs of professionals working with large language models for AI-powered business ventures.

For specialized roles in AI and machine learning, tailored training is essential.

Here's a curated list covering key areas:

GAI for specialized roles

For tech professionals and AI/ML engineers who need specialized training to maintain and train AI models.?

Maintaining: MLOps, cloud, security, and frameworks to serve roles implementing AI.?

1.?Prepare for the Google Cloud Professional Machine Learning Engineer Certificate?(Learning Path — Certification Preparation)

2.?Prepare for the AWS Certified Machine Learning — Specialty (MLS-C01) Exam?(Learning Path — Certification Preparation)

3.?Securing the Use of Generative AI in Your Organization

4.?Azure OpenAI: Generative AI Models and How to Use Them

5.?Google Cloud Professional for Machine Learning Essential Training

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These courses focus on MLOps, cloud, security, and frameworks crucial for those implementing AI.

Training focused on fine-tuning, model optimization, and neural networks, tailored for AI/ML engineers and data science professionals:

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1. Advance Your Skills in Deep Learning and Neural Networks?(Learning Path)

2. Advanced AI: Transformers for Computer Vision

3.SQL Server Machine Learning Services: Python

4.Training Neural Networks in Python

5.AI Workshop: Hands-On with GANs with Deep Convolutional Networks

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