Artificial Intelligence is one of the fastest-growing career fields in the world, and the best part is—you can go from complete beginner to job-ready AI professional in just 12 months with the right roadmap. This guide shows you the exact 12-month career path to become an AI Engineer, even if you’re starting with zero coding experience.
Month 1–2: Build the Foundations
Start with the basics:
- Introduction to AI, ML, and Deep Learning
- Basic math (algebra, probability, statistics)
- Logic building and problem-solving
At this stage, beginners don’t need advanced coding. A structured beginner-friendly program like the AI and Machine Learning Course helps you understand the fundamentals smoothly.
Month 3–4: Learn Python for AI
Python is the most essential language for AI. Learn:
- Variables, loops, functions
- Lists, tuples, dictionaries
- Basic file handling
- Jupyter Notebook
Once comfortable, practice Python through small exercises and assignments.
Month 5–6: Learn Data Analysis
AI is built on data. Learn how to:
- Clean datasets using Pandas
- Analyze patterns
- Visualize insights using Matplotlib and Seaborn
To strengthen data fundamentals, you can also explore the Data Analyst Course.
Month 7–8: Learn Machine Learning
Machine Learning is the core of AI. Focus on:
- Regression
- Classification
- Clustering
- Feature engineering
- Model evaluation
Practice ML algorithms using Scikit-learn and real datasets.
Month 9–10: Learn Deep Learning & Neural Networks
Deep learning is essential for modern AI systems. Learn:
- Artificial neural networks
- CNNs (Computer Vision)
- RNNs and LSTMs (NLP)
- Image recognition
- Sentiment analysis
This stage builds your advanced AI skill set, all covered in OdinSchool’s AI and Machine Learning Course with hands-on mentorship.
Month 11: Build and Deploy Real AI Projects
Deploying projects proves your job readiness. Build portfolio projects such as:
- ChatGPT-powered chatbot
- Image classifier
- Fraud detection model
- Recommendation engine
Learn deployment using: - Streamlit
- Flask
- Hugging Face
These projects make your resume stand out and attract recruiter attention.
Month 12: Interview Preparation + Portfolio Building
In your final month, focus on:
- GitHub portfolio
- Resume optimization
- Mock interviews
- System design basics for AI
- Sharing projects on LinkedIn
With the right guidance, freshers start getting interview calls after building 4–6 solid AI projects.
Typical Job Roles After 12 Months of Learning
You can apply for roles like:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- NLP Engineer
- Computer Vision Engineer
- ML Associate
These roles offer high growth, strong salaries, and long-term stability. You can also explore more learning paths on OdinSchool.
Conclusion
You can become an AI professional within 12 months if you follow a structured path—starting with basics, moving into Python, ML, deep learning, and real projects. With guided mentorship, hands-on training, and placement support, programs like the AI and Machine Learning Course help beginners transition into high-demand AI careers with confidence.
Fore more info: londontechinsights.co.uk
