AI in Depth – Advanced Skills for Professionals’ Everyday Work

Development of advanced understanding and practical skills in:

• advanced prompt engineering techniques and their practical applications;
• comparison of the most popular AI tools, their key differences, and how to choose the right one for a specific task;
• building personal AI assistants (Claude Projects, Custom GPTs, Gemini Gems) for daily work and time efficiency;
• implementing AI solutions in organizations or teams, including aspects of security, privacy, and efficiency.

The training program is intended for professionals who already use AI tools (such as ChatGPT, Claude, Gemini) in their daily work and want to further improve their skills. This course is especially useful for employees and specialists who aim to integrate AI solutions into their team or organization.

• Understand the key differences between the most popular AI tools (Claude, ChatGPT, Gemini, NotebookLM, Perplexity) and choose the most suitable one for a specific task.
• Create advanced prompts using prompt patterns, system prompts, few-shot learning, and chain-of-thought techniques.
• Build and apply personal AI assistants for your professional role.
• Work with documents, data, and multimodal input formats using AI tools.
• Objectively evaluate the implementation of AI solutions in your organization, considering security, privacy, and ROI aspects.

Prior experience with AI tools (such as ChatGPT, Claude, or Gemini) is recommended. No specific technical background is required.

Training materials and practical examples prepared by BDA.

Not intended.

1. AI top tools in 2026: Claude, ChatGPT, Gemini, NotebookLM, Perplexity and their comparison.

2. Advanced prompt engineering techniques (prompt patterns), system prompts, few-shot and chain-of-thought approaches.

3. Working with documents, data, and multimodal formats in AI tools.

4. Creating personal AI assistants (Claude Projects, Custom GPTs, Gemini Gems) for your professional role.

5. Implementing AI solutions in organizations: identifying use cases, security, privacy, and GDPR considerations.

6. Measuring AI effectiveness, ROI, and managing change within teams.

7. AI trends and future directions – how to stay up to date with industry developments