Enhance Your Productivity with AIبهره‌وری خود را با هوش مصنوعی افزایش دهید

Course details

Unlock your productivity potential using AI to streamline your workflows, automate mundane tasks, and accomplish more with less. In today’s fast-paced workplace, maximizing productivity is essential for everyday success. AI stands out as a transformative force that can help you change the way you work. In this course, join instructor Tiago Costa as he explores the fundamental concepts of AI and shows you how to integrate AI tools into your work to boost your overall performance. Along the way, get tips on understanding the associated risks of AI and the importance of responsible use and implementation. This course is an ideal fit for business managers and directors planning to implement AI to boost productivity and IT professionals interested in leveraging AI for improved problem-solving.

Concepts

0. Introduction

01 - Introduction to AI

1. Introduction to AI

02 - Learning objectives
03 - The importance of AI in boosting productivity
04 - Brief history and evolution of AI

2. Exploring the Foundations of AI

05 - Learning objectives
06 - Definition and scope of AI
07 - Types of AI
08 - Basics of machine learning, deep learning, and neural networks

3. Current State of Affairs in AI

09 - Learning objectives
10 - Recent advancements and breakthroughs in AI technology
11 - Real-world applications of AI in different industries
12 - Key players and leading AI research institutions

4. AI Text Generation

13 - Learning objectives
14 - Introduction to natural language processing (NLP)
15 - Text generation models - GPT, BERT
16 - Applications of content creation, summarization, and translation

5. AI Image Generation

17 - Learning objectives
18 - Overview of computer vision and image processing
19 - Applications in design, art, and visual content creation

6. A World of Copilots

20 - Learning objectives
21 - Enhancing productivity with AI-powered assistants and tools
22 - Integrating AI into tools you already use
23 - Microsoft 365 Copilot
24 - GitHub Copilot

7. Prompt Engineering

25 - Learning objectives
26 - Understanding the importance of prompts in AI models
27 - Crafting effective prompts to achieve desired outputs
28 - Prompt engineering for specific tasks

8. Tips and Tricks Using AI

29 - Learning objectives
30 - Productivity hacks leveraging AI tools and techniques
31 - Automating repetitive tasks with AI
32 - Integrating AI into existing workflows

9. AI Risks and Opportunities

33 - Learning objectives
34 - Potential risks and ethical considerations of AI
35 - Opportunities for innovation and growth
36 - Strategies for mitigating risks

10. Responsible AI

37 - Learning objectives
38 - Principles of responsible AI
39 - Bias detection and mitigation
40 - Ensuring AI applications are transparent, fair, and accountable

11. Unlocking Productivity across Roles and Industries

41 - Learning objectives
42 - Finance professional
43 - Marketing specialist
44 - Customer service rep
45 - Sales representative
46 - Business analyst
47 - Project manager
48 - Product manager
49 - Team lead

12. The Future of AI

50 - Learning objectives
51 - Recap what you've learned
52 - Reflecting on the impact of AI
53 - Further learning and staying updated on AI

Conclusion

54 - Summary