Corporate Nuggets: The Most Effective Method For Passing AI Certifications

Introduction

Are you looking to pass your AI certification? Look no further. We got you.

Artificial Intelligence (AI) is the new vogue in the digital industry. This technology is evolving so fast. It has the potential to revolutionise businesses across industries. AI certifications have gained a lot of popularity among professionals.

Many online courses are available to get AI certified. But, choosing the best certification and technique to clear the exam is tough.

This article discusses the importance of AI certifications. It also suggests the best method for passing this course.

The Demand For Artificial Intelligence Courses Is Growing

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AI is a fast progressing field. It has extensive career opportunities today. There is an increase in demand for Artificial Intelligence certifications in many industries. Professionals and students worldwide are now opting for it. This is to stay competitive in the job market.

Do you know why? It is because

  • The course is a testimony to their skills and knowledge.
  • It increases their earning potential.
  • The certification boosts their credibility as skilled AI professionals.
  • It is an effective means to uplift their career growth in AI powered industries.

Hence, the rising demand for AI certified professionals has increased the course demand.

Online Courses Are An Ideal Approach For Passing AI Certifications

An Artificial Intelligence course is the most effective method for aspiring learners. It has many advantages.

Interactive learning experience

Online AI courses use multimedia tools. This includes videos, simulations, gamification, animations and virtual labs. It makes learning fun and engaging for students. They can interact with teachers and fellow students. They can connect through discussion forums, online communities, video conferences and emails. It can help in future collaborations.

Premium course content

AI experts from various industries design the course format and content. The aim is to provide high quality learning material to learners. Students get up to date information on the latest AI tools, techniques and algorithms.

Flexibility

Students can pursue the courses with ease. There are no fixed schedules or deadlines. They can access course material and view lecture recordings anytime, anywhere. This allows them to have a work-life balance.

Other approaches to getting AI certified

Self-Study

Self-study is a good thing. Learners can understand AI concepts and skills on their own.

They can refer to online resources, such as blogs, tutorials and e-books.

But, self-study does not give them a hands-on learning experience. It requires discipline, motivation and dedication to keep up with learning.

University Programs

Universities and colleges offer academic certifications. They provide online courses and traditional classroom based learning. The approach involves getting a formal AI certificate in a structured learning environment. The curriculum provides a vast understanding of AI and its applications in different industries.

On the flip side, university programs are expensive. The complex admission process is a challenge for the applicants.

To sum up

The artificial Intelligence system is redefining the way we live and the way we do business. There exists a growing popularity of AI certifications in recent years. The main reason is the increasing demand for skilled AI professionals in almost all industries. An online certification program from a professional institute boosts their career growth.

Why wait? Enrol now.

Imarticus Learning – An Innovative Platform to Pursue an Artificial Intelligence Program

Imarticus is a technology driven educational platform. We combine knowledge with technology to provide experience based learning. The aim is to develop the leaders of tomorrow. We offer job interview guarantee certification and postgraduate programs to aspiring AI learners.

Contact us to know more about our Artificial Intelligence courses.

AI certification in India: Landscape and learnings from 2021

AI certification in India: Landscape and learnings from 2021

With the rapid use of artificial intelligence (AI) in the business and learning sector, it has become a hot topic in recent years. Notably, AI is projected to witness more growth in upcoming years as the pandemic has accelerated its use.

For instance, AR/VR apps, online education, and the use of technology in business and startups are all trending. So, this might be an ideal time for individuals looking to get into data science with a machine learning or an artificial intelligence course. These study programmes are beneficial as they provide skills and knowledge to pursue a professional career in AI and machine learning. 

The landscape of Artificial Intelligence

AI tools are becoming more and more common in workplaces, but these are often poorly understood. To get the most sense out of it, individuals can learn machine learning from leading institutes to help them clear these concepts comprehensively. Harvard Business Review reports that 800 different AI systems fall under four categories that are used across 14 various industries. But, based on technology readiness in 2022, few domains are used widely across multiple sectors. A few of these are deep learning, neural networks, chatbots, natural language processing, etc. 

AI Learnings from 2021

2021 has been a year of massive upliftment in AI, machine learning, and data science. The large-scale adoption of technology in numerous fields has boosted the sector. According to World Economic Forum, 97 million new job roles might emerge by 2025 that are more adapted new sectors of labour made due to the amalgamation of algorithms, machines, and humans. Nevertheless, a few of the top trends of AI in 2022 are: 

  • Multi-modal learning 

With time, AI is getting better at understanding human needs. With the support of modalities within a single machine learning model like speech, vision, text, and IoT sensor data, AI is getting better with each passing day. A machine learning course will be a great asset to get an idea about these as the curriculum is aligned with modern-day industry requirements to sustain in this field. 

  • Rising Demand for Data Security 

Data is currently one of the most valuable resources of most organizations. Moreover, since the advent of the pandemic, most jobs have been executed online, creating a considerable dependency on data. Thus, data security is one of the prime objectives of enterprises to maintain security and confidentiality within an organization. Hence, it is essential to note that this emphasis on the security of sensitive and personal data will increase with time and similarly dependency on machine learning and AI. 

  • Augmented Intelligence 

To increase the productivity of a venture, the dependency on augmented intelligence has already shown a positive trend. This shift in job roles is likely to refresh the workload and can bring out the highest-level productivity with a coupled use of humans and machines. According to Gartner, by 2023, 40% of large enterprises will use AI-augmented automation for higher productivity. 

Thus, it is evident that 2021 has opened quite a few provinces for artificial intelligence and machine learning. However, the use of AI is divided depending on rote tasks, simple tasks that require ethical decision making, creative tasks with limited ethical components, and tasks with both creative and ethical components.

Also, individuals must learn that incorporating AI within a business will become more complex. This is because the volume of data will increase and the data processing will grow complex in nature.

5 things to know before opting for an AI certification course

Technological advancements are taking the world by storm. Scientific innovations are changing lives drastically. This is the age of Artificial Intelligence (AI) and Machine Learning (ML). Days are not far when we will have a replacement of human force with robots that have features just like humans.

In fact, many industries are already implementing such changes in their work. Due to the increased demands for such technology, artificial intelligence and machine learning courses are being offered by many institutes all over the world. 

However, anyone and everyone cannot take up an AI certification course. There are certain subjects and concepts which you have to know to be able to take up an AI course. In this article, we will discuss that in detail.

5 things about which you must know before choosing an AI certification course

Before choosing to enroll in an artificial intelligence course, it is important that you have clear concepts about certain subjects. They are as follows:

Thorough knowledge of mathematics – While studying artificial intelligence, you will need to have a thorough knowledge and a deep understanding of mathematics. This conceptual understanding helps in writing algorithms and programs for AI. It is important to have a basic understanding of mathematical concepts like calculus, linear algebra and probability. 

In machine learning, linear algebra is a compulsory subject to know. The dynamics between ML and linear algebra are explicable via certain abstract concepts like matrix operations and vector spaces. 

For building a machine learning model, calculus is inevitable. Along with having a basic knowledge of differentiation and integration, you should also know gradient or slope, partial derivatives and chain rules. 

Good knowledge of programming language – If you are aiming to become proficient in artificial intelligence, then it is important that you have fair ideas and knowledge of various programming languages like Java, Python and C++. This is because algorithms of machine learning are put into effect with the help of codes only. 

As per tech experts, the best language to learn for artificial intelligence is Python. With the help of this language, you will be able to create extremely complex algorithms quite easily. The programming language has a concise and easily readable syntax. It is almost the same as writing commands in the English language. There are different libraries in Python and they are particularly useful for machine learning and artificial intelligence.

Knowledge of algorithms and data structures – When it comes to ML and AI, having a basic understanding of data structure and algorithms is mandatory. 

Learning data structures is essential for learning data collection and for performing various kinds of operations on collected data. 

On the other hand, algorithms are a set of step-by-step instructions, which are written in that order for accomplishing and completing a specific and predefined work. Algorithms are expressed in the form of flow charts or pseudocode. 

Slight concept of machine learning – Machine learning is actually a subset of artificial intelligence. In machine learning certification, you mainly study and learn about computer algorithms. In the ML algorithm, you create a mathematical model, which is based on some kind of sample data to make decisions without being programmed explicitly. 

Statistics – Statistics mainly deals with data – right from collection to analysis, from sorting to interpretation, and finally presentation. Therefore, its importance in machine learning is quite obvious and evident. A candidate studying AI and ML should be familiar with outliers, mean, standard deviation, median, and histogram. 

Conclusion

Lucrative career opportunities are waiting in the artificial intelligence and machine learning industry. Enroll in the best course on the subjects from a reputed institute and obtain a globally-accredited certification to fly high in your career. Check out the official website of Imarticus Learning for more details.