Training Services
Why Choose Automation Axis
The difference between AI (Artificial intelligence) , Machine Learning (ML), and Deep Learning (DL) in plain language
How AI agents and automation save time and reduce errors
What Generative AI is and where it is useful
Common myths about AI and how to spot misinformation
Real examples of AI in marketing, operations, HR, and customer support
Hands-on practice with approachable tools; no coding required
How to talk about AI with clients, teammates, and leaders
Training Services
Understand Artificial Intelligence without jargon. In just 4 weeks, you will learn what AI (Artificial intelligence) really is, how
it is used in real workplaces, and how to apply it confidently. We focus on clarity, practical tools, and
busting myths so you can separate facts from hype.
Week 1 - AI Fundamentals
Know Artifical Intelligence (AI) vs Machine Learning (ML) vs Deep Learning (DL), get examples, understand Generative AI basics.
AI Myths vs Facts
| Myth | Fact |
|---|---|
| AI will take every job | AI changes tasks — People who use AI well will replace people who do not. Many roles become more strategic. |
| AI always gets it right | AI can make mistakes — Human review, evaluation, and guardrails matter. |
| You must be a coder to use AI | No-code works — You can get real value from no-code tools and well-designed prompts. |
Who Should Attend
01
Managers and professionals who want a clear, practical view of AI
02
Students and job seekers preparing for AI-rich workplaces
03
Teams who want to find quick wins with automation and AI agents
Trends to Watch
- AI inside common tools: email, docs, spreadsheets, and chat platforms
- Agentic AI that plans steps and uses tools to finish tasks
- Responsible AI: privacy, bias checks, human-in-the-loop
- Automation as a Service: subscription models for ongoing value
