The good news? You don’t need a PhD to start. You just need the right skills, the right mindset, and a clear learning path. One of the best ways to begin is by earning the right AI certifications.
Let’s walk through what you need to know and how to get started.
What Does an AI Researcher Do?
An AI researcher works on building, testing, and improving machine learning models and AI systems. They study how machines learn, how they process data, and how they can solve complex problems. AI researchers often work in research labs, tech companies, or universities. Their work includes:
- Studying algorithms
- Creating models for things like image or speech recognition
- Testing AI systems
- Writing research papers and publishing results
It’s a mix of theory, coding, testing, and lots of curiosity.
Do You Need a Degree?
A degree in computer science, engineering, or mathematics helps. But today, many people become skilled in AI through online learning, hands-on projects, and good AI certification programs.
If you want to become an AI researcher, having a strong portfolio and a solid AI researcher certification can help open doors, even without a traditional degree.
Best AI Certifications for Aspiring AI Researchers
Here are some certifications that can help you move toward your goal:
1. AI+ Researcher™ Certification by AI CERTs
This is designed specifically for those who want to get into AI research. It covers the key skills you need, like machine learning, neural networks, deep learning, and how to approach research problems. It also includes training on writing research papers and understanding ethics in AI.
Why it’s useful:
- Focuses on real research skills
- Includes hands-on training
- Offers a respected certificate you can show to employers or schools
- Can be taken online, at your own pace or with an instructor
This is one of the most targeted AI researcher certifications available for new learners.
2. Google AI and DeepLearning.AI Certifications
These are widely recognized and offer solid training in areas like machine learning, deep learning, and working with data. These courses are great if you want to build technical foundations.
Why they help:
- Taught by top experts
- Easy to follow for beginners
- Strong focus on tools and real-world use
3. Microsoft Azure AI Engineer Certification
If you’re planning to use AI in cloud environments, this certification helps you learn how to use Microsoft tools for AI development.
Why it’s a good pick:
- Combines AI knowledge with cloud computing
- Useful if you’re working on enterprise projects
- Helps you understand how to deploy AI solutions at scale
What Skills Should You Focus On?
If you’re starting your AI journey, here are the basics you’ll want to learn:
- Python: This is the most commonly used language in AI
- Math: Focus on statistics, linear algebra, and probability
- Machine learning: Learn how machines can make decisions from data
- Deep learning: Understand how neural networks work
- Data science: Learn how to clean and use data
- Research writing: Helps if you want to publish or present your work
These skills can be learned through many AI certification programs, step by step.
How to Learn Effectively
Here’s a simple path many people follow:
- Choose one certification program
- Start with something designed for researchers like the AI+ Researcher™ Certification
- Go at your own pace
- Whether it’s instructor-led or self-paced, choose what works for your schedule
- Work on small projects
- Try creating a simple model or analyzing a dataset
- Join online communities
- Platforms like GitHub, Reddit, or AI learning forums can keep you motivated
- Keep reading and improving
- AI is always evolving. Stay up to date with research papers or AI blogs
Do Certifications Really Help?
Yes, a good certification can help you:
- Understand the core concepts of AI
- Learn how to solve problems like a researcher
- Prove your skills to hiring managers or grad schools
- Build confidence as you apply your knowledge in real projects
The key is choosing a certification that teaches both the theory and practice of AI.
The AI+ Researcher™ Certification is a great example. It’s focused, hands-on, and gives you a clear roadmap toward becoming an AI researcher.
Final Thoughts
Becoming an AI researcher isn’t something that happens overnight. But it also isn’t out of reach. With the right tools, curiosity, and guidance, you can start learning today.
AI certifications like the AI+ Researcher™ Certification can give you a strong foundation. They help you build skills, show your knowledge, and take clear steps forward in your journey.
So if this is your dream, don’t wait for the perfect time. Start now, learn step by step, and keep building.
You’re closer than you think.