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1. Core AI & Machine Learning
π Focus: Building models & algorithms.
- Roles: Machine Learning Engineer, AI Researcher, Data Scientist.
- Skills Needed: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), statistics, algorithms.
2. Data Science & Analytics
π Focus: Extracting insights from data to support decisions.
- Roles: Data Analyst, Data Scientist, Business Intelligence Analyst.
- Skills Needed: SQL, Python/R, data visualization (Tableau, Power BI), statistical modeling.
3. Natural Language Processing (NLP)
π Focus: Teaching AI to understand human language.
- Roles: NLP Engineer, Computational Linguist, Conversational AI Developer.
- Skills Needed: Python, Hugging Face Transformers, linguistics, text analytics.
4. Computer Vision
π Focus: Enabling machines to interpret images & video.
- Roles: Computer Vision Engineer, Robotics Vision Specialist, Autonomous Systems Engineer.
- Skills Needed: OpenCV, PyTorch/TensorFlow, image recognition, deep learning (CNNs).
5. Generative AI & Creative Tech
π Focus: AI that creates (text, images, audio, video).
- Roles: Generative AI Engineer, Prompt Engineer, AI Product Designer.
- Skills Needed: LLMs (ChatGPT, Claude, Gemini), Midjourney/DALLΒ·E, diffusion models, creative prompting.
6. AI in Business & Product
π Focus: Applying AI to solve business problems.
- Roles: AI Product Manager, AI Consultant, AI Solutions Architect.
- Skills Needed: Business strategy, AI tools knowledge, communication, project management.
7. AI Ethics & Policy
π Focus: Safe, fair, and responsible AI use.
- Roles: AI Ethicist, AI Policy Advisor, Responsible AI Officer.
- Skills Needed: Ethics frameworks, law & policy, fairness in AI, bias mitigation.
8. AI Infrastructure & Engineering
π Focus: Building systems that power AI.
- Roles: MLOps Engineer, Data Engineer, Cloud AI Engineer.
- Skills Needed: Cloud platforms (AWS, GCP, Azure), DevOps, pipelines, model deployment.
β Tip for beginners: Start with Data Science / ML Engineer paths (most in-demand) β then specialize (NLP, Vision, Generative AI, etc.) depending on interest