Best AI Resources 2024: Elevate your Skills!

What Is Artificial Intelligence?

Artificial Intelligence, a common name with wide practical applications, is the technology that allows computers to exhibit capabilities similar to the human mind. It is the branch of computer science that enables computers to make decisions and display human intelligence. Combining Artificial Intelligence with other groundbreaking technologies like robotics, sensors, and others, humans are close to finding a human equivalent counterpart in AI. 

Possessing exceptional capabilities like pattern recognition, experience-based learning, contextual understanding, and much more, AI has been seen to contribute significantly. It helps drive cars, interacts as a virtual assistant, detects fraud, diagnoses medical conditions and does much more.  

Types of AI

Artificial Intelligence is divided into two categories: 

Based on Capabilities 

• Narrow AI or Weak AI: It is designed to act on specific commands or actions. They cannot learn independently and, hence, depend on machine learning and neural network algorithms. Common examples include playing chess and speech recognition suggestions on e-commerce websites. 
• General AI or Strong AI: It is designated so due to its wide capabilities and autonomous task handling. These are suited for multifunctional tasks and are actually human intelligence-mimicking machines. Currently, no strong AI exists, yet their base can be seen in supercomputers, GenAI applications, and others. 
• Superintelligent AI: It is another non-existing type of AI (or only exists in theory). The superintelligent AI is expected to be superior to human knowledge and capabilities. It will be self-aware and will possess wisdom, creativity and problem-solving.  

Based on Functionalities

• Limited Memory: They are characterized by data storage and using the same for predictions. They store data for a limited period. Using deep learning as a base, they mimic the method of functioning of the human brain. Currently, they have applications such as self-driving cars, chatbots and others. 
• Reactive Machine AI: These AI aren't capable of storing memory. Rather, they function on immediate tasks and requests. These AI can not improve from experiences and are suitable for basic autonomic functions. The common uses include Filtering spam mail or shopping recommendations. A common example of Reactive Machine AI is IBM's Deep Blue and Google's AlphaGo. 
• Theory of Mind AI: It is among the advanced AI being researched. This type of AI focuses on emotions, beliefs and empathy. It will be a true human counterpart and more useful for the human world and decision-making. 
• Self-aware AI: It refers to AI with self-awareness and consciousness. It is currently theoretical but once reached, it will be smarter than humans. The uncertainty remains on the inability to control the self-aware AI. Regardless, currently, it is a hypothetical concept. 

Reasons to Learn Artificial Intelligence

With numerous AI learning resources available just a click away, if these interesting types and applications of AI aren't enough to enhance your interest and passion, there are several other reasons. Being more practical, these reasons are better depictions of AI's importance: 

• The concepts can be grasped online, along with the opportunity for hands-on practice. It helps in flexible learning schedules and managing the learning with other studies or jobs. 
• With the advancements and incorporation of technology, the requirement for skilled professionals in AI is not going to decrease anytime soon. 
• AI is capable of offering innovative and efficient ways to work. The innovation can be led by you as well. Learning AI offers the possibility to bring positive change. 
• Working with Artificial intelligence is more of a team-based job. If you are good at working with teams and better at utilizing networking opportunities, the field is for you. 
• The pay scale in the AI market is high. The average salary for an AI engineer in India is around 23 lakhs annually. 
• The field has applications in a wide number of industries, thus increasing job prospects. 
• AI is capable of serving aid in disasters, ensuring the candidate's contribution to humanity and moral support for the world. 

Best Resources to Learn Artificial Intelligence in 2024

Owing to the presence of distinct educational platforms offering the best resources to learn Artificial Intelligence, it's challenging to discover the appropriate one for you. The section will assist you by enlisting the best AI learning resources available for learning Artificial Intelligence in 2024. 

Simplilearn 

A trusted educational platform offering the best resources to learn Artificial Intelligence, Simplilearn offers different types of AI courses for candidates. They are designed distinctly to suit the varying requirements of candidates with the hybrid learning model, experts to teach, and many more features. Here is a compiled list of what you can get from the top education provider, Simplilearn: 

Program	Duration
MS in Artificial Intelligence	24 months
Post Graduate Program in AI and Machine Learning  Caltech Post Graduate Program in AI and Machine Learning Professional Certificate Program in Generative AI and Machine Learning  Artificial Intelligence Engineer  Professional Certificate Course in AI and Machine Learning
Applied Generative AI Specialization	4 months
AI for Decision Making: Business Strategies and Applications	3 months

With Simplilearn, the candidates get a world-class learning experience and certificate from globally leading universities and their educators.

• Job assistance program
• Hands-on learning
• Opportunity to work on real-life projects
• Interaction sessions with industry experts

Most importantly, the program will provide exposure to the latest AI trends. Advisors design the programs to enlighten candidates from basic to advanced levels, covering industry-relevant tools. The placements at tech giants and testimonials of Simplilearn's ex-candidates speak for the platform.

Stanford Online 

Known for their education and research quality, Stanford educators aid the candidates in learning AI. With Stanford Online, the candidates have graduate and AI professional programs to choose from. Both the programs are online and instructor-paced.

Explore Stanford Online to learn AI.

IIT Kanpur

IIT Kanpur offers an e-Masters degree in Artificial Intelligence and Machine Learning to empower your AI ambitions for a smarter future. This is a perfect learning resource for working professionals looking to learn while they earn. They have the flexibility to complete the program between 1 - 3 years. 

Explore IITK for learning AI. 

TensorFlow 

TensorFlow, an open-source Machine Learning platform, offers a dedicated curriculum for candidates to learn AI. Helping to build the basics, TensorFlow also offers candidates the choice of their own learning path. TensorFlow offers three curriculums along with educational Artificial Intelligence resources. 

Explore TensorFlow for learning AI.

University of California, Berkeley Online

UC, Berkeley has different offerings in the field of AI research. Its Berkeley Artificial Intelligence Research Lab brings across a variety of research areas. Learners can explore computer vision, ML, NLP and robotics. 

Explore the University of California to learn AI.

AI Industry and Career

AI professionals are required in a wide number of industries. With a 23% increase in computer and information research scientists expected by 2032, varying AI skills will be of immense importance in the coming times. The different career prospects in numerous industries include: 

Life Sciences 

AI is being used in medical healthcare and life sciences for the following:

• Research purposes
• Prediction of medical conditions
• Diagnosing rare disorders
• Removing errors in dosage
• Virtual nursing assistant for 24*7 service
• Administrative workflow
• Carry out invasive or complicated surgeries and fraud prevention. 
• Offering personalized medical career 

Energy 

This sector incorporates AI for the following tasks:

• Predicting the supply and demand ratio 
• Offering innovative solutions to common and new problems 
• Prevents grid failures by incorporating smart grids 
• Forecasting for sustainable generation of renewable energy through weather forecasts and historical data 
• Increases reliability and security 
• Effective energy storage through optimum usage and as per future requirements 
• Identifying the best methods for captured carbon utilization 

Operations 

The operations sector also leverages the power of AI by using it to:

• Predict equipment failure 
• Forecast the demands and accordingly use assistance in inventory management. 
• Make decisions through data and real-time insights
• Ease and efficiently complete repetitive tasks
• Practical risk assessment and ensuring safety incidents
• Optimize operations through errors and alerting

Future of AI

The employment statistics concerning the usage of AI in industries are overwhelming and promising. With both positive expectations and speculations on job losses due to AI, the concern over the future of AI and job prospects in the field is obvious. 

However, the human mind's capabilities to merge AI efficiency with daily tasks for automation and enhanced efficacy are promising. While AI is expected to replace humans, only humans can use AI to complete regular tasks with the highest efficiency.

While jobs like salespersons, warehouse workers, receptionists, retail, insurance underwriting, and others can be replaced, the fields incorporating AI will definitely require human interference. Examples include management, lawyers, judges, HR managers, teachers, directors, CEOs, surgeons, artists, writers, and many more.

The key to ensuring the positive influence of AI in your career is to effectively use AI to enhance productivity without completely relying on it. Focusing on soft skills, developing agility, specializations, and the ability to innovate are essential. 

Conclusion

With every field requiring skills, AI stands apart from the crowd. Not only can it be learned purely online through widely available Artificial Intelligence resources, but it also offers high job opportunities, career advancement and a good package. Being the top need of numerous tech giants, passionate and truly skillful candidates hold bright chances to succeed. 

Simplilearn, the top globally partnered educational platform, offers the best resources to learn Artificial Intelligence, including industry experts, hands-on projects, job assistance, globally recognized certificates and much more. Enroll in the Artificial Intelligence Masters program to kickstart your career in the field of AI!

FAQs

1. What is the best resource to learn about AI?

Simplilearn is the preferred platform for getting the best resources to learn about AI. 

2. Which are the 7 main areas of AI?

The seven main areas of AI are

• Machine Learning
• Deep Learning
• Robotics
• Expert Systems 
• Natural Language Processing 
• Computer Vision 
• AI Ethics and Safety 

3. What is needed to implement AI?

The process of implementing AI is complex. It requires high-quality data, an accurate definition of the problem, the right choice of an AI model, proper integration with the system, and consideration of ethical implications. 

4. Is Artificial Intelligence a high-paying job?

Yes, the average salary of an Artificial Intelligence Engineer is around 23 lakhs per annum. 

5. How to learn AI from scratch?

Learning AI from scratch requires clearing the basics, which involve mathematics, coding, and statistics. You must then move forward to learning data handling and processing along with the concepts of Data Science, Machine Learning, and others. Further, information and hands-on practice of tools and packages are essential to working in the field.