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Narzędziownik AI 2.0 Reloaded - sesja 1
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Professionals and enthusiasts looking to gain practical, hands-on skills in AI tools, security, and automation from a foundational to advanced level.
TL;DR
Tomek Turba launches the eighth edition of his AI training series, 'AI Toolbox 2.0'. This comprehensive course covers everything from prompt engineering and creative tools to local model deployment, AI security, and automation, culminating in a certification exam.
Key Takeaways
- The rapid evolution of artificial intelligence necessitates frequent updates to educational content, as technical knowledge in this field often becomes obsolete within six months of initial publication.
- Practical AI education should cover a broad spectrum of applications, ranging from creative generative tools and business automation to complex topics like local model deployment and fine-tuning.
- Cybersecurity remains a critical component of AI literacy, requiring users to understand the risks associated with deepfakes and the importance of secure, local model configurations.
- Professional development in AI is increasingly validated through structured certification programs that offer continuing professional education (CPE) credits for cybersecurity and technical professionals.
- Effective AI learning involves a combination of theoretical foundations and hands-on practice, including live demonstrations of hacking, coding, and model training to illustrate real-world capabilities.
- The shift from basic AI tools to agentic workflows and local automation represents the current technological trend, emphasizing the importance of understanding protocols like MCP for future development.
In This Video
- 00:00Introduction to the eighth edition of the Toolbox
Tomek Turba opens the eighth edition of the AI Toolbox training, presenting his background in cybersecurity and the goals of the course.
- 03:35Instructor's background and profile
The instructor discusses his career in cybersecurity, his work at Securitum, and his commitment to AI education.
- 06:58Logistics, certification, and training rules
Discussion of the meeting schedule, rules for obtaining a certificate with CPE credits, and technical aspects of participating in the training.
- 09:59Overview of training modules
A detailed presentation of the 15-session training plan, covering topics from creative AI tools to advanced programming and automation.
- 11:50Advanced techniques and fine-tuning
Preview of modules regarding data training, dataset preparation, and a practical demonstration of AI model fine-tuning.
Questions & Answers
Where can I find the recordings of the training sessions?
Recordings will be available at the same link where the broadcast takes place and will be sent as a playlist after each meeting.
How can I ask the instructor a question during the session?
During the Q&A session, please prefix your question with the letter 'Q' so the instructor can easily spot it in the chat.
Will I receive a certificate after the training?
Yes, at the end of the series, participants will take a test, the completion of which entitles them to receive a certificate in Polish and English with CPE credits.
Will the training materials be available after the course ends?
Yes, participants will receive access to presentations, recordings, and a minibook containing a summary of all the tools and techniques discussed.
How many sessions are planned for the eighth edition of the Toolbox?
The eighth edition includes 15 training sessions, covering a wide range of topics from AI basics to advanced technical issues.
Key Terms
- CPE — Credits awarded for training hours, used to maintain the validity of cybersecurity certifications.
- Fine-tuning — The process of adjusting an AI model to specific data or tasks, which will be demonstrated live during the training.
- Quantization — A technique for reducing the precision of an AI model's weights to decrease its size and hardware requirements, which affects the quality of the model's responses.
- MCP — A protocol (Model Context Protocol) used in application design and programming with artificial intelligence.
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