Artificial Intelligence Courses & Certifications Online

Job Profiles

Description of the Jobs

Average Salary (INR)

AI Engineer

Develops AI models and algorithms to solve complex problems, implements machine learning techniques, and optimizes AI systems.

₹9,600,000 - ₹12,000,000/year

Machine Learning Engineer

Designs and builds machine learning models, works with large datasets, and develops algorithms for predictive modeling and data analysis.

₹8,800,000 - ₹11,200,000/year

Data Scientist

Analyzes and interprets complex data to help companies make informed decisions, often using machine learning and AI tools to extract insights.

₹8,000,000 - ₹10,400,000/year

AI Research Scientist

Conducts research to advance AI technologies, develops new algorithms, and publishes findings in academic journals and conferences.

₹8,800,000 - ₹12,800,000/year

Business Intelligence Developer

Creates and manages BI tools and interfaces, analyzes complex data to help businesses make strategic decisions, often leveraging AI for predictive analytics.

₹7,200,000 - ₹9,600,000/year

Robotics Engineer

Designs and builds robots, develops control systems, and integrates AI to enhance robotic functionalities in various industries such as manufacturing and healthcare.

₹7,600,000 - ₹10,000,000/year

Computer Vision Engineer

Develops algorithms and systems to process and analyze visual data, works on image and video analysis, object detection, and facial recognition.

₹8,400,000 - ₹10,800,000/year

Natural Language Processing (NLP) Engineer

Focuses on the interaction between computers and human language, develops systems for language translation, sentiment analysis, and chatbots.

₹8,800,000 - ₹11,200,000/year

AI Product Manager

Oversees the development and implementation of AI products, coordinates between technical teams and stakeholders, and ensures products meet market needs.

₹9,600,000 - ₹12,000,000/year

Big Data Engineer

Manages and optimizes large datasets, designs data pipelines, and works on data storage solutions, often integrating AI for data processing.

₹8,000,000 - ₹10,400,000/year

AI Consultant

Provides expert advice on AI strategies, helps businesses implement AI solutions, and improves processes through AI technologies.

₹7,200,000 - ₹9,600,000/year

AI Ethicist

Addresses ethical concerns related to AI, develops guidelines for responsible AI use, and ensures AI systems align with ethical standards.

₹6,400,000 - ₹8,800,000/year

Stage

Topics to Learn

Resources/Tools

Estimated Duration

Stage 1: Foundations

1.1 Basic Mathematics - Algebra, Calculus, Probability, Statistics

Khan Academy, Coursera (Mathematics for Machine Learning)

1-2 months

1.2 Programming Skills - Python Basics, Data Structures, Algorithms

Codecademy, Coursera (Python for Everybody), LeetCode

1-2 months

Stage 2: Data Handling

2.1 Data Analysis - Numpy, Pandas, Matplotlib

Coursera (Data Analysis with Python), Kaggle

1-2 months

2.2 SQL and Databases - SQL basics, Database management

Codecademy (SQL), Khan Academy

1 month

Stage 3: Machine Learning

3.1 Introduction to Machine Learning - Supervised/Unsupervised Learning, Regression, Classification

Coursera (Andrew Ng's Machine Learning), edX (Introduction to Machine Learning)

2-3 months

3.2 Machine Learning Libraries - Scikit-Learn, TensorFlow, Keras

Coursera (TensorFlow in Practice), YouTube Tutorials

2-3 months

Stage 4: Deep Learning

4.1 Neural Networks - Basics of Neural Networks, Backpropagation

Coursera (Deep Learning Specialization by Andrew Ng), Fast.ai

1-2 months

4.2 Advanced Deep Learning - CNNs, RNNs, GANs

Coursera (Deep Learning Specialization), Fast.ai

2-3 months

Stage 5: Natural Language Processing (NLP)

5.1 Introduction to NLP - Text Processing, Tokenization, Sentiment Analysis

Coursera (Natural Language Processing Specialization), Kaggle

1-2 months

5.2 Advanced NLP - Transformers, BERT, GPT

Hugging Face, Coursera (Natural Language Processing with Classification and Vector Spaces)

1-2 months

Stage 6: Computer Vision

6.1 Introduction to Computer Vision - Image Processing, Object Detection, Face Recognition

Coursera (Convolutional Neural Networks), Fast.ai (Practical Deep Learning for Coders)

1-2 months

6.2 Advanced Computer Vision - YOLO, OpenCV

YouTube Tutorials, OpenCV Documentation

1-2 months

Stage 7: Reinforcement Learning

7.1 Basics of Reinforcement Learning - Markov Decision Processes, Q-Learning, Deep Q-Networks

Coursera (Deep Reinforcement Learning), edX (CS50’s Introduction to Artificial Intelligence with Python)

2-3 months

Stage 8: Projects and Practice

8.1 Kaggle Competitions - Participate in ML and AI competitions, Practice Projects

Kaggle, GitHub

Ongoing

8.2 Build AI Projects - Personal Projects, Contributions to Open Source

GitHub, Personal Portfolio

Ongoing

Stage 9: Advanced Topics

9.1 Specialized Areas - AI Ethics, Explainable AI, AI in Healthcare, AI for Good

Online Courses, Research Papers

2-3 months

Stage 10: Keeping Updated

10.1 Stay Updated with AI Trends - Follow AI Research, Attend Conferences, Join AI Communities

ArXiv, AI Conferences, Blogs (Towards Data Science, Medium), LinkedIn Groups, Reddit

Ongoing