How to Learn AI in 2024

How to Learn AI in 2024

7 mins readComment
Vikram
Vikram Singh
Assistant Manager - Content
Updated on Apr 16, 2024 15:16 IST

Have you ever wondered how machines can learn to recognize images, translate languages, or even beat world champions at complex board games? If so, then you're already on your way to understanding the basics of artificial intelligence. AI is a rapidly growing field that has the potential to revolutionize the way we live and work. From autonomous vehicles to virtual assistants, AI is already playing a significant role in our daily lives, and the demand for skilled AI professionals is only going to increase in the coming years. But where should you start if you want to learn AI in 2024? With so many resources available, it can be overwhelming to know where to begin. In this article, we will provide a step-by-step guide on how to acquire the skills, knowledge, and experience necessary to succeed in the exciting and rapidly growing field of AI.

How to Learn AI in 2024

Table of Contents

What is Artificial Intelligence?

Artificial Intelligence (AI) is a field of computer science that enables machines to perform tasks that normally require human intelligence, such as recognizing speech, understanding language, making decisions, and solving problems. 

In other words, AI is the ability of machines to think and learn like humans, making them capable of performing tasks that would otherwise require human intervention.

Types of Artificial Intelligence

  1. Machine Learning (ML): Machine learning is a subset of AI that focuses on building systems that can learn from and make decisions based on data. ML models adjust their parameters on their own to improve their accuracy over time, typically without human intervention. There are three main types of machine learning:
  • Supervised Learning: Models are trained on labelled data (data that has been categorized or tagged with the correct answer).
  • Unsupervised Learning: Models infer patterns from unlabeled data without reference to known or labelled outcomes.
  • Reinforcement Learning: Models learn to make sequences of decisions by receiving feedback in the form of rewards or punishments.
  1. Deep Learning: Deep learning is a subset of machine learning that uses neural networks with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—to process data and create patterns for use in decision making. Deep learning is particularly powerful for handling large amounts of unstructured data such as images and video.
  2. Neural Networks: Neural networks are a class of models within deep learning designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling, or clustering. The architecture of a neural network resembles the network of neurons in the human brain, consisting of layers of interconnected nodes (neurons). Each connection, like the synapses in a biological brain, can transmit a signal from one artificial neuron to another. The neural network's task is to adjust the strength of the connections (weights) between nodes, which is done during training.
  3. Cognitive Computing: Cognitive computing models aim to simulate human thought processes in a computerized model. Using self-learning algorithms that use data mining, pattern recognition, and natural language processing, these systems can mimic the way the human brain works.
  4. Computer Vision: This field involves enabling computers to see, identify and process images in the same way that human vision does, and then provide appropriate output. It is closely related to artificial neural networks, as neural networks are often used to power image recognition capabilities.

Why Learn Artificial Intelligence?

  • High demand for AI talent: According to the World Economic Forum, AI-related job roles have grown by 74% annually in recent years, indicating a high demand for AI talent.
  • Higher Salaries: According to data from AmbitionBox.com, AI engineers are among the highest-paid software engineers, with an average salary of INR 11.2 Lacs per year in India.
ai engineer salary in india

 

  • Career Opportunities: With AI being integrated into various industries, such as healthcare, finance, and transportation, there are ample career opportunities for those with AI skills.
    • Machine Learning Engineer:  This role combines software engineering with data science to build and deploy machine learning models. These models can be used for tasks like image recognition or making sales predictions.
    • Data Scientist: Data scientists analyze large datasets to extract insights and knowledge. They often play a crucial role in preparing data for machine learning models.
    • Research Scientist: AI research scientists are at the forefront of the field, pushing the boundaries of what AI can do. They may work on developing new algorithms or applications for AI.
    • AI Engineer:  A broad role that can encompass various tasks related to designing, developing, and implementing AI systems.
    • NLP Engineer:  Specializes in Natural Language Processing (NLP), which allows machines to understand and process human language. NLP engineers work on applications like chatbots or voice assistants.
    • Robotics Scientist:  Develops and improves robots, often incorporating AI for tasks like navigation or decision-making.
    • Big Data Engineer: Creates and maintains the infrastructure required to store and process the massive datasets that AI systems rely on.
    • Business Intelligence Developer:  Develops AI-powered tools and applications to help businesses gather and analyze data for better decision-making.
  • Innovation: AI is a rapidly evolving field, with new breakthroughs and advancements being made every day. By learning AI, you can be part of the innovation and contribute to solving complex problems.
  • Future-Proofing your Career: As AI automation continues to replace certain jobs, acquiring AI skills can future-proof your career and make you more employable in the years to come.
  • Personal Development: Learning AI can be a challenging yet rewarding experience, providing opportunities for personal growth and development.

How to Learn Artificial Intelligence: A Complete Roadmap

Month

Module

Focus

Resources

1-2

Introduction to Programming

Python programming basics, syntax, control structures

Codecademy, Python.org tutorials

1-2

Essential Mathematics

Basics of linear algebra, calculus, statistics

Khan Academy, Coursera courses

3-4

Basics of Artificial Intelligence

Understanding AI, history, applications, ethics

AI For Everyone by Andrew Ng on Coursera

3-4

Introduction to Machine Learning

Supervised vs. unsupervised learning, basic algorithms

Machine Learning by Andrew Ng on Coursera

5-6

Deep Dive into ML Algorithms

Decision trees, SVMs, ensemble methods

Hands-On Machine Learning with Scikit-Learn and TensorFlow

5-6

Data Preprocessing and Visualization

Data cleaning, normalization, visualization

Pandas and Matplotlib documentation, DataCamp courses

7-8

Foundations of Neural Networks

Neural network architecture, activation functions, backpropagation

Deep Learning Specialization by Deeplearning.ai on Coursera

7-8

Advanced Deep Learning Concepts

CNNs, RNNs, LSTMs, and applications

CS231n: Convolutional Neural Networks for Visual Recognition

9-10

Choosing a Specialization

NLP, Computer Vision, Robotics, etc.

Specialized courses on Coursera and other platforms

9-10

Practical AI Projects

Applying AI to real-world problems

GitHub, Kaggle competitions

11-12

Advanced AI Topics

Reinforcement learning, generative models, advanced techniques

Advanced Machine Learning Specialization on Coursera, arXiv.org

11-12

AI in Industry and Career Networking

AI applications in business, career preparation, networking

LinkedIn, local AI meetups, industry conferences



From Where to Learn Artificial Intelligence: Top Online Degree, Diploma and Certificate Courses

Top Online Degree Programs in AI

No.

Institution

Program

USP

Course Fees

Duration

1

IIIT Hyderabad

M.Tech in Artificial Intelligence

Focus on research and real-world projects

INR 3,00,000

2 years

2

Amity University Online

MCA with specialization in AI

Designed for working professionals

INR 1,50,000

3 years

3

NMIMS

MBA in Artificial Intelligence

Blend of business and AI skills

INR 2,40,000

2 years

4

Great Lakes International University

PGP in Artificial Intelligence and Machine Learning

Collaboration with University of Texas at Austin

INR 3,00,000

1 year

5

Simplilearn in collaboration with Purdue University

Post Graduate Program in AI and Machine Learning

Practical learning with Purdue’s faculty

INR 2,25,000

1 year

6

Manipal Academy of Higher Education Online

M.Tech in Artificial Intelligence & Machine Learning

Flexible learning schedule

INR 1,50,000

2 years

7

BITS Pilani

PG Program in AI and ML

Offers workshops and live sessions

INR 2,50,000

11 months

8

Learning Paths School (LPS)

Masters in AI and Machine Learning

Project-based learning, flexible hours

INR 3,00,000

2 years



Top Online Diploma and Certificate Courses in AI

No.

Provider

Program

USP

Course Fees

Duration

1

upGrad

PG Diploma in Machine Learning and AI

Partnership with IIIT Bangalore, job placement support

INR 2,85,000

12 months

2

Simplilearn

Post Graduate Program in AI and Machine Learning

Collaboration with Purdue University, IBM

INR 2,25,000

12 months

3

Great Learning

PG Program in Artificial Intelligence

Mentoring by industry experts, hands-on projects

INR 3,00,000

12 months

4

TalentEdge

Advanced Certificate Program in AI & ML

Executive learning from IIM faculty

INR 1,20,000

5 months

5

Coursera (offered through University of Colorado Boulder)

Advanced Machine Learning Specialization

Flexible schedule, globally recognized institution

Varies with subscription

4-6 months

6

EdX (offered through Columbia University)

Artificial Intelligence MicroMasters

Comprehensive curriculum, pathway to a Master's degree

INR 1,36,135

About 1 year

7

Intellipaat

AI & Deep Learning Course with TensorFlow

24/7 learning assistance, job assistance

INR 19,737

6 months

8

Scaler Academy

Data Science & Machine Learning Program

Focus on competitive programming and machine learning

INR 2,50,000

9 months

9

Analytics Vidhya

Certified AI & ML Blackbelt+

Community-driven learning platform

INR 50,000

Self-paced

10

NASSCOM

AI Data Science and Big Data Analytics

Government-supported, industry-recognized certification

INR 25,000

4 months



 

About the Author
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Vikram Singh
Assistant Manager - Content

Vikram has a Postgraduate degree in Applied Mathematics, with a keen interest in Data Science and Machine Learning. He has experience of 2+ years in content creation in Mathematics, Statistics, Data Science, and Mac... Read Full Bio