Andrew Bolis Highlights Free Google AI Training Opportunities for Career Advancement

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Andrew Bolis

LinkedIn Author

Influencer (700+ Brand Collabs) 🧠 AI & Marketing Consultant 📢 Former CMO 📩 DM for Influencer Partnerships ➡️ Follow for AI & business growth tips.

In a recent LinkedIn post, Andrew Bolis highlights a significant opportunity for professionals to enhance their skills through free Artificial Intelligence training offered by Google. Bolis emphasizes the value of these courses for career development and skill upgrading in the rapidly evolving tech landscape.

Google’s Initiative in AI Education

Andrew Bolis shared a curated list of seven Google AI courses, stressing that they provide comprehensive coverage from foundational concepts like prompt design to advanced topics such as deep learning. The post aims to inform his network about accessible resources that can lead to acquiring valuable certifications.

“Google is offering free AI training! (Get free certificates and upgrade your skills). From prompt design to deep learning, everything is covered.”

Bolis frames this offering as a practical pathway for individuals looking to gain expertise in AI without a financial barrier. He points out that these courses can be completed relatively quickly, making them suitable for busy professionals.

Key AI Training Modules Detailed

The LinkedIn post meticulously outlines seven specific courses, each with a brief description of its learning objectives and estimated completion time. According to Andrew Bolis, these modules are designed to equip learners with both theoretical knowledge and practical application skills.

Foundational and Advanced AI Concepts

Among the highlighted courses are introductions to Generative AI, Large Language Models (LLMs), and Responsible AI. Bolis notes the importance of understanding these core areas, stating:

“Learn responsible AI principles. Understand its importance in technology. Explore Google’s approach to AI ethics.”

He further elaborates on courses covering technical aspects such as Encoder-Decoder Architecture and the Attention Mechanism, explaining their role in building sophisticated AI models for tasks like text generation and machine translation. As Andrew Bolis points out, understanding these mechanisms is crucial for developing advanced AI applications.

Practical Skills in Prompt Design

A significant focus of the training, as detailed by Bolis, is prompt design. The post specifically mentions a course on “Prompt Design in Vertex AI,” which aims to teach users how to craft effective prompts to improve AI model accuracy. Bolis suggests that mastering prompt engineering is becoming an essential skill in the current AI-driven environment.

“Learn to craft precise and effective AI prompts. Improve AI model accuracy with expert techniques. Get Google-certified in advanced AI prompting.”

Andrew Bolis encourages his followers to take advantage of these free resources, framing them as a direct route to career advancement. He concludes his post with a call to action, urging his network to share the information and follow him for more insights.

The initiative shared by Bolis underscores the growing trend of major tech companies providing accessible educational content to foster broader AI literacy and adoption. By highlighting these free courses, Andrew Bolis facilitates an important conversation about continuous learning and skill development in the age of artificial intelligence.

📝 About This Content

This article is based on insights shared by Andrew Bolis on LinkedIn.

📅 Originally posted on November 21, 2025 | View original post on LinkedIn →