AI Engineer Roadmap 2025

What Does An AI Engineer Do?

AI Engineer Job Description

1. Python Programming Language -1 Month

Python:

1. Complete Python Playlist In English:

2. Complete Python Playlist In Hindi:

3. Flask Playlist:

Final Goal Outcome:

1. Basic To Intermediate Python With various knowledge of various Data structures like numpy,pandas,matplotlib and many more.
2. Knowledge of performing EDA,Feature Engineering and creating visualization charts using python
3. Atleast Make some python projects using Frameworks such as Flask with deployment Eg: Web Scrapping Projects

What's New In Python 3.12.0

https://docs.python.org/release/3.12.0/

2. Statistics

1. English: 7 Days Statistics Live Session :

2. Statistics in ML(43 videos):

3. Stats Hindi Playlist:

   Free Courses On Linear Algebra, Stats

4. Linear Algebra: https://www.khanacademy.org/math/linear-algebra

5. Statistics: https://www.khanacademy.org/math/statistics-probability

6. Differential Equations: https://www.khanacademy.org/math/differential-equations

EDA

1. EDA Live

2. EDA Detailed Playlist:

Feature Engineering

1. Complete Detailed Feature Engineering:

2. Live EDA Feature Engineering Playlist:

Final Goal Outcome:

1. Techniques to Perform Statistical Analysis
2. Familiar with all concepts which will be important for Machine Learning

3. Databases

1. Mongodb:

2. Mysql:

3. Apache Cassandra Database:

4. Machine Learning

1. Live ML Playlist:
2. Complete ML Playlist:
3. Hindi: ML Playlist:

5. Deep Learning Playlist:

1. 5 Days Live Deep Learning Playlist:

2. Complete Deep Learning Playlist:

3. Deep Learning Playlist In Hindi:

   6. NLP Playlist:

4. English: Live NLP Playlist:

5. Complete NLP Playlist:

   Important Frameworks for Production Deployments

• Flask Detailed Playlist In English:
• Flask One Shot Hindi:
• Gradio Framework:
• BentoML:
• MLflow and Dagshub:

7. MLOPS (Machine Learning Operation)

Live MLOPS Playlist :

1. Github Action CI/CD pipelines
2. Circle CI
3. Kubeflow
4. MLflow
5. Deployment Technqiues In AWS,AZURE, GCP,Dockers And Kubernetes
6. Evidently AI
7. Grafana(Monitoring)
8. AirFlow
9. BentoML
10. AWS Sagemaker
11. DVC
12. Dockers

Agile Software Development And Data Science Project Development Life Cycle

End To End ML,DL,NLP Projects With MLOPS With Deployment And Open Source Tools

1. End To End ML Projects Playlist In English:
2. End To End ML Playlist In Hindi:

Machine Learning, Deep Learning, and NLP Projects

1. First End-To-End ML Project for Starters [Student Performance Prediction]

2. End-to-End NLP Project with GitHub Action, MLOps, and Deployment [Text Summarization]

3. End-to-End ML Project Implementation Using AWS Sagemaker

4. Computer Vision: End-to-End Cell Segmentation Using Yolo V8

5. Deep Learning Project with Deployment, MLOps, and DVC [Chicken Disease Classification]

6. End-to-End ML Project with MLFLOW

7. End-to-End ML Project Implementation with Dockers, GitHub Action

8. Langchain Open AI Project

9. Kidney Disease Classification

Roadmap To Generative AI

1. Updated Langchain Playlist:
2. Finetuning Techniques LLM
3. AWS Bedrock:
4. Llamaindex Playlist:
5. Google Gemini Playlist With Projects
6. Langchain Playlist:

Special Mention [Good To Have Skills]

1. Knowledge Of Big Data Engineering
2. Knowledge On Cloud Engineering[AWS,GCP,Azure]

Internships:

iNeuron Internships: https://internship.ineuron.ai/

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