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Tag: best artificial intelligence and machine learning course

Artificial intelligence and machine learning are still trending: Will the hype remain?

Posted on by Imarticus Learning

Artificial intelligence and machine learning are still trending: Will the hype remain?

Artificial intelligence and machine learning are still trending. It’s not surprising, considering the recent surge in interest in these technologies. In today’s world, business leaders have better tools to make decisions and improve their organizations than ever before. But will this hype remain? That’s what we’re going to find out.

What are artificial intelligence and machine learning? 

Artificial intelligence is a subset of machine learning: it is a field of study concerned with creating machines that can learn without being explicitly programmed (or “trained”).

Machine learning is simply another term for artificial intelligence. It can get understood as any process by which computers get better at solving problems over time—even if they’re not getting any help from humans!

What’s the difference between artificial intelligence and machine learning?

AI is a type of machine learning.

Machine learning (ML) is the ability of computers to learn without being explicitly programmed. It involves using previous experiences, known as “training” data, to improve future performance in similar situations. You can use machine learning for many applications, including computer vision, speech recognition, and natural language processing. 

Corporate leadership

You can also use AI to automate tasks such as scheduling appointments or routing deliveries through an online shopping cart on a website that requires human input but does not have enough staff available at the moment when you want your order fulfilled by someone else.

Therefore this would mean less time spent managing inventory while being able to focus more on marketing campaigns instead!

Benefits of AI and machine learning for your business

  • Increase productivity. AI and machine learning are capable of improving the efficiency of your business. They can help you make more money, save time and reduce costs.
  • Increase revenues. This is because they’re able to identify patterns in customer behavior that can predict what customers want next or how they behave when interacting with products or services provided by your company, thus enabling you to give them what they need at just the right time without having any issues with inventory management or logistics costs associated with providing goods/services over more extended periods.

Additionally, since most people prefer convenience over quality when shopping online – this means there’s an opportunity for businesses who use these technologies effectively!

Artificial Intelligence and Machine Learning are still trending.

You can still use AI and ML in many industries at every business level. They’re being used to power some of the most exciting innovations in recent history. And they’ll continue to be used that way for years to come! 

Artificial intelligence and machine learning are still trending. In the future, these technologies will become even more advanced and help you build a better business.

Learn Machine Learning and Artificial Intelligence Course with Imarticus Learning.

Learn how to become an AI engineer by enrolling in the E & ICT Academy’s deep learning Artificial Intelligence certificate program. Students will benefit from this IIT AI ML Course as they prepare for careers as data analysts, data scientists, machine learning engineers, and AI engineers.

Course Benefits For Learners:

  • Learners work on 25 real-world projects to gain practical industrial experience and prepare for a rewarding career in data science.
  • With a certificate authorized by the IIT Guwahati, E & ICT Academy, and an Imarticus Learning-endorsed credential, students can impress employers and demonstrate their abilities.
  • Students who complete this artificial intelligence training can land lucrative jobs in the field of machine learning and artificial intelligence.

 Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Data science and machine learning professionals are career optimistic – The statistics show why.

Posted on by Imarticus Learning

Data science and machine learning professionals are career optimistic – The statistics show why.

Advanced technologies like artificial intelligence and machine learning have grown rapidly in recent years. They are expected to grow further in the upcoming years at the same lightning speed.

As per a forecast, the artificial intelligence market is expected to grow at a Compounded Annual Growth Rate (CAGR) of thirty-eight percent from 2022 to 2030. The adoption of artificial intelligence and machine learning can be seen across various sectors like healthcare, finance, automobile, and finance, to mention a few.

This will give rise to the demand for data science and machine learning professionals in various job roles across these sectors. Individuals having the skills and expertise in artificial intelligence and machine learning will be recruited from the junior-most to the senior-most levels on a large scale.

Job Roles Available for Data Science and Machine Learning Professionals

As stated earlier, there is a myriad of job roles available for data science and machine learning professionals in various industries. Some of the job roles include:

  • Machine Learning Engineer
  • Business Intelligence Developer
  • Software Developer
  • Natural Language Processing (NLP) scientist
  • Computational Linguist
  • Data Scientist
  • Data Engineer
  • Marketing Analyst
  • Business IT Analyst
  • Data Architect

Why Data Science and Machine Learning Professionals Are Optimistic

We are living in a world of big data. The amount of data produced is increasing with each passing day. It is estimated that the volume of global data will reach 180 zettabytes by 2025. There will be a huge demand for professionals who can handle, manage, and convert this huge volume of data to derive actionable insights that can help businesses enhance and expand their operations.

As per a report, there were over one lakh job opportunities in the data science domain in India in June 2021. Data science jobs witnessed a forty-seven percent increase in requirements in 2021 compared to 2020. This is despite the COVID-19 scenario.

Another report has monitored the continuous rise of artificial intelligence and machine learning. It found out that data science jobs have witnessed a tremendous six hundred and fifty percent growth since 2012. The rise is set to continue in future years. It is estimated that the growth of data science will create more than eleven million job openings in the field by 2026.

These trends, therefore, indicate that now is an opportune time to start a career in data science. Thus, you will be required to acquire the requisite knowledge, expertise, and skills in artificial intelligence and machine learning domains.

Benefits of Choosing a Career in Data Science and Machine Learning

So, why choose data science as a career option? Let’s look at some of the major benefits of being a data science and machine learning professional.

  • Ever-Increasing Demand

As stated earlier, the demand for data science, artificial intelligence, and machine learning professionals is only expected to increase further in the future. Thus, there will be no shortage of jobs in this field.

  • High Salaries

Data science and machine learning professionals earn handsomely, irrespective of their job position, experience, and organisation. Some of the average annual salaries in different job roles are discussed below.

Thus, we can see that data science and machine learning professionals are some of the best-paid individuals. In addition to such fat packages, they are also entitled to bonuses, incentives, paid vacations, stock options, and other perks, depending upon the organisation.

  • Versatile Field

Professionals can find job opportunities in various sectors like manufacturing, retail, eCommerce, and healthcare. They can also switch easily from one field to another if they want to explore other domains. Thus, unlike most other career paths, data science and machine learning professionals aren’t tied to one particular field.

Skills Required for Data Science and Machine Learning Professionals

To be successful, professionals need to possess certain skills that can help them excel in their work and enable them to climb the professional ladder quickly. Some of the skills include:

  • Problem-solving intuition
  • Analytical and critical thinking
  • Business sense
  • Communication
  • Mathematics and statistics
  • Programming
  • Management
  • Leadership
  • Cloud computing
  • Data visualisation
  • Calculus
  • Data wrangling
  • Machine learning
  • Deep learning
  •  DevOps
  • Business Intelligence tools

To acquire these skills, you will need to complete a certification course in artificial intelligence and machine learning. You can opt for such courses after completing your bachelor’s or master’s certification.

While there are tons of courses out there, we recommend you check out Certification in Artificial Intelligence and Machine Learning offered by E&ICT academy, IIT Guwahati. Some of the program highlights include:

  • Industry-approved curriculum
  • Real industry projects
  • Certification by IIT Guwahati
  • Live online training

The 9-month course will impart the foundational skills that can prepare you for diverse roles in the data science and machine learning domain. Individuals have landed lucrative job roles in top companies like Accenture, Wipro, HSBC, and Oracle, to name a few.

Want to learn Machine Learning IIT AI Course? Feel free to contact our chat support. Alternatively, you can also visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. We would be more than happy to serve you.

Supervised learning: How its impacting the future

Posted on by Imarticus Learning

There is a continuous need to stay ahead of the competition in the corporate world. It is especially true in technology, where we have new advances every day. One area where you can see a lot of growth in recent years is supervised learning. 

Supervised learning is a machine learning algorithm that allows computers to learn from data that humans have labeled. This type of learning is becoming increasingly important as businesses strive to automate more and more tasks. This blog will discuss the basics of supervised learning and explore how it impacts the industry’s future!

An overview of Supervised Learning

Supervised learning algorithms are a type of Machine Learning algorithm that is used to learn from labeled training data—supervised learning targets to build models that can generalize from the training data to make predictions on unseen data.

According to recent research, supervised learning will become one of the essential technologies for businesses in the next few years. It is because supervised learning algorithms can automatically learn and improve from experience. 

You can see the benefits of this technology in many industries, including healthcare, finance, and retail. For example, hospitals use supervised learning to develop better treatment plans for patients. 

Banks are using supervised learning in the financial sector to detect fraudulent activity. And in the retail industry, e-commerce companies are using supervised learning to personalize the shopping experience for customers.

You can also use supervised learning algorithms to develop self-driving cars, defeat Go champions, and outperform humans in reading comprehension.

How supervised learning impacts the industry’s future?

With data and computing power increasing, supervised learning will become more widely used and refined. It could lead to supervised learning becoming even more effective and efficient. It is an exciting time for this field of machine learning.

Supervised learning is already having a significant impact on the future. Additionally, it helps develop new technologies, such as driverless cars and personal assistants. As supervised learning becomes more refined and widespread, its impact on the future will only become more significant.

Some potential applications of supervised learning in the future include:

  • More accurate medical diagnoses
  • Improved financial predictions
  • More efficient manufacturing processes
  • Faster development of new technologies
  • Better personal assistants

The future of supervised learning looks very promising. With its many potential applications, it will significantly impact the future. Exciting times lie ahead for this field of machine learning.

Discover AI and Machine Learning courses  by Imarticus Learning

The E & ICT Academy, IIT Guwahati, and the most significant industry experts come together in this Artificial Intelligence and Machine Learning certificate. This artificial intelligence course will assist students in preparing for data scientists, data analysts, machine learning engineers, and AI engineers.

Course Benefits for Learners:

  • Prepare for a fascinating career in data science by completing 25 real-world projects that give you industry expertise.

  •  Impress employers and display your skills with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed certificate.

  •  This machine learning course will assist you in seizing lucrative job possibilities in the hot fields of artificial intelligence and machine learning.

How do artificial intelligence and machine learning courses enable the economics of abundance?

Posted on by Imarticus Learning

In this current world, the global economy is in a problematic situation. Jobs for skilled workers have become stagnant and economic inequality is increasing. Besides, the planet is also in a vulnerable position now. Thus, as a critique of our current economic system, the idea of ‘economics of abundance’ has risen to prominence. This rejects the idea of living with scarcity-generating institutions that provide high value when kept on hold.  

Artificial intelligence (AI) is the solution for current economic change to bring in an economy of abundance. This economy is built to make the world sustainable, bringing in social equality and the freedom of self-expression. So, to be a part of this economic change, it is essential to understand artificial intelligence and machine learning in-depth. Furthermore, this change can bring in myriad job opportunities that will allow individuals to sustain themselves freely.

Importance of AI and ML in Economics of Abundance 

Millennials are growing in the generation of scarcity, where the economy is different. The modern age of youth understands that access is more important than ownership. Further, being more sustainable in this world means minimizing waste and providing emphasis on decentralization. Nevertheless, the below-mentioned pointers are some of the effects of artificial intelligence in enabling an economy of abundance. 

 

  • Cooperative Business

 

Today, the sharing of profits between coordinators and providers of goods and services is unbalanced. Hence, artificial intelligence can be implemented to create coordination and planning that provides more value to organizations and consumers. 

 

  • Health Infrastructure 

 

AI leads to affordable health care with early diagnostic facilities. Early detection of life-threatening diseases can provide ample time against emergencies. Apart from it, the shift from manual operation to AI control operations is preventive and proactive. More importantly, the healthcare system will become more affordable, thus making it accessible for all communities. Hence, to shift this paradigm, it is essential to learn machine learning and artificial intelligence.

best artificial intelligence courses by E&ICT Academy, IIT Guwahati

 

  • Open Learning 

 

The right to education can be significantly accomplished with the help of AI. Notably, AI can ease the individual education requirement at its own pace and assessment. Also, as the pandemic has triggered online education, this shift in dimension has a varied impact on tech-enabled learning. This helps students get massive access to academic materials by lowering the cost of education. 

 

  • Livable Cities 

 

AI-driven motilities have a significant impact on how cities are designed. Now, citizens are focusing on smart communication rather than mobility. This provides room for the diversity of citizens and richness within a culture. In the near future, the world will witness more and more smart cities with an emphasis on smart AI motilities. 

For example, London has around 20,000 ghost homes despite a growing number of homeless people and the cost of house rent. There is an apparent problem when houses are kept for wealth rather than shelter. Hence, AI can solve this problem and provide more shelters to homeless people.  

 

  • Energy 

 

The older generation has seen an abundant supply of energy resources such as coal and petroleum. But, as these are exploited unreasonably, they are on the brink of drying up. Hence, modern-day individuals are more interested in renewable energy that can provide sustainable energy for all. Thus, AI can efficiently supply and distribute power to all individuals in this scenario.  

Hence, knowing deep learning artificial intelligence can provide a chance to create a better and more sustainable world for upcoming generations. The idea of ‘economics of abundance’ has shifted the economic mindset completely of millennials. Also, artificial intelligence can create a world where everyone gets an equal opportunity in learning, earning, and food. However, arriving in this new dimension of the world is unlikely if we are not going to kick out the economy of scarcity. 

Top 5 machine learning skills desired by employers

Posted on by Imarticus Learning

AIML or Artificial Intelligence and Machine Learning are some of the leading subject matters in the tech industry. ML is a branch of AI and has a wide range of applications in our daily lives, ranging from traffic predictions, face and voice recognition, product recommendations, virtual personal assistant, fraud detection, automatic language translation, and many more.

Therefore, big ventures like Google and Facebook are exclusively employing AIML in their products and services. Machine learning is the process by which computer scientists and engineers attempt to impart intelligent behavior into machines, to make them think and respond like human-mind in real-time situations.

For example, Google Assistant, Cortana, and Siri are entirely powered by machine learning algorithms that recognize speech.

AIML works in a complex way to make predictions and decisions based on past data, eventually refining its accuracy. A machine learning course can definitely help someone study and get training in machine learning data and algorithms.

What are the top Machine Learning Skills?

To get a desirable job related to machine learning – data engineer, machine learning engineer or machine learning scientist – you need to have knowledge and training in both software engineering and data science.

Following are the top 5 machine learning skills desired by employers:

  1. Computer Science Fundamentals and Programming

If you are getting into a technical world, then you need to have knowledge of CS fundamentals like data structures (graphs, stacks, queues, etc), algorithms (optimizing, dynamic programming, etc), computability, and complexity (NP problems, P vs NP, etc).

Having experience in different programming languages, like Python and Java, will make it easy for you to implement these fundamentals for better results.

  1. Applied Mathematics

Within applied mathematics, probability and statistics go hand in hand. Many machine learning algorithms employ probability and its techniques, like Markov Decision Process and Bayes Net, to approach uncertainties and deal with them.

You should also be well-versed in statistics to be able to build algorithms from observed data through the application of various measures, analysis methods, and distributions.

  1. Data Modelling and Evaluation

Data modeling is the process of understanding the underlying structure of a dataset, in order to find complex patterns. Furthermore, you will have to evaluate the data to be able to choose an effective accuracy/error measure like regression, clustering, and classification.

The kind of evaluation strategy that you will apply, whether it’s training-testing split or sequential vs randomized cross-validation, depends on your knowledge of data modeling and its different measures.

  1. Machine Learning Algorithms

ML algorithms are broadly characterized into three categories – supervised, unsupervised and reinforcement machine learning algorithms. You can effectively choose a machine learning algorithm if you are aware of the learning procedures and hyperparameters that affect the learning.

Some of the common algorithms are K Means Clustering, Naïve Bayes Classifier, Support Vector Machine and Linear Regression. Having appropriate knowledge of the advantages and disadvantages of these algorithms is essential to machine learning.

  1. Natural Language Processing (NLP)

NLP is the bedrock of machine learning. It is a learning model through which a computer is made to understand and interpret the human language. Many libraries across the world provide the foundation of NLP and help computers understand human language by decoding the text or speech according to its syntax.

Natural Language Toolkit is one of the most popular libraries to build NLP applications. Without the basic skill of using NLP, it can become fairly difficult to get into machine learning.

 Conclusion

All these skills come under one roof with the Artificial Intelligence and Machine Learning course offered by Imarticus. A PG in Data Analytics and Machine Learning will definitely polish these top skills and help you understand related concepts such as Deep Learning and Artificial Neural networks.

Here’s how AI is used in Executive job search

Posted on by Imarticus Learning

Artificial intelligence (AI) has the potential to simplify the process of searching for a job. There are various ways through which artificial intelligence can assist candidates and businesses in the recruitment and hiring process. Currently, corporate sectors are using artificial intelligence in the early stages of recruitment.

This helps in increasing the pace of screening resumes and scheduling interviews. To find a suitable job for a candidate, AI software requires access to simple data about his/her expertise, career history, and location. 

A candidate searching for a job can use artificial intelligence job search tools to find an open position in a firm or a company that matches his/her skill set. This helps save a significant amount of time and effort for a job seeker.

Artificial intelligence assists organizations in avoiding the unavoidable biases that slide into the recruitment process while deciding the deserving candidates for the position. Furthermore, it assists businesses in identifying growth opportunities for existing employees who are ready for future promotions.

Did you know the term ‘artificial intelligence’ was first coined in 1956? But, it wasn’t accepted by society and went through a lot of controversies until 1997 when IBM’s Deep Blue computer became the first artificial intelligence computer to defeat Russia’s chess grandmaster Garry Kasparov. 

How Does Artificial Intelligence Work in Recruitment For Executive Jobs?

Artificial intelligence helps recruiters who cannot go through each and every resume by analyzing the data of resumes based on keywords, qualifications, and other talents required for the job. Most of the time, recruiters are less in number, which makes it more difficult for them to manage the entire process alone. Therefore, they rely on artificial intelligence in getting the best-fit candidate in their team.

Artificial intelligence uses the following algorithm in job search: 

  1. Matching: AI matches the resumes and the keywords instilled in them, such as job title, etc. 
  2. Screening: AI screens the resume of candidates based on their data which helps in deciding if the candidate’s talents match the requirement of the job posted. These talents are mainly educational background, work experience, location, specialization, etc. 
  3. Response: AI has increased the scale of responses given to candidates. In the traditional approach to recruitment, a plethora of candidates applied for the job by sending their resumes which the recruiters used to check manually because of which they used to miss looking into a few resumes.Hence, those candidates get skipped in receiving a response from the company’s hiring board. But, now with the help of artificial intelligence, a recruiter easily scans the candidate’s data without going through the resume and picks the suitable candidate to whom the artificial intelligence sends a response regarding the interview.

Tips For Job Seekers to go Past The Artificial Intelligence Process

  • While preparing your resume or cover letter make sure to add the keywords that match the terminology of the posted job. 
  • Ensure the resume is readable and easy to skim through, and that it does not sound like an automated machine. 
  • Prepare for the interviews taken by the artificial intelligence bots. These bots would not give you a chance to rectify what you say during the interview but will focus on how you say it. 

We know that artificial intelligence is the future of technology, but presently there is a shortage of workforce in the field. So, if anyone is interested in starting a career in artificial intelligence, then he/she can be certain about a promising future since almost every field is trying to get upgraded with an AI certification program. 

Obtaining an artificial intelligence certification has become easy since many related courses are made available online by various well-reputed educational institutions such as IITs in India. To pursue these AICTE approved courses, students need to have a basic knowledge of computer language and programming to join the IIT AI ML course. 


Indisputably, artificial intelligence will play a crucial role in the upcoming boom in the recruitment industry. So, if you want to be a part of it, then join Imarticus’ artificial and machine learning course, which is designed by IIT Guwahati and will give you deep insights into artificial intelligence.

AI courses: Human geography inspired machine learning algorithms

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Numerous industries like finance, healthcare, insurance, and computer system businesses employ software developers. If you wish to become a software developer, you can choose Imarticus Learning’s SCBI course. It is one of the best certifications for software engineers. 

What are 6 Main Practices for a Successful Career in Software Development? 

To become a software developer, you need to be aware of the business conditions. This will help you understand what skills you need. A software engineering certification is also essential. Similar to these, there are a few more practices that will ensure a long and rewarding career. Take a look at the following things you can do to improve your prospects in the field. 

 

  • Learn Programming Languages

 

If you wish to become a successful software developer, you need to learn relevant programming languages. You can focus on Java as it is a programming language that works for different platforms and purposes. You can also learn other programming languages like C++, Python, and Scala. 

 

  • Choose a Niche and Practice

 

Software development includes different aspects like app design, DevOps, and the development of computer infrastructure. So you need to choose a niche. As a software developer, you will need to focus on one particular aspect and hone your skills. You can always focus on different aspects but it is best to become an expert in one area. This will help companies identify you as a developer within that niche and thus, improve your chances of employment. 

 

  • Create a Portfolio

 

As you develop your skills and try your hand at design or development projects, you need to start creating a portfolio. A portfolio will help companies understand the extent of their knowledge.

 

  • Explore Potential Industries to Figure Out a Target

 

You need to check what industries are currently requiring software development services. Once you figure out which industry you want to work in, you can start learning the necessary skills. It is important to research every industry and then work towards an end goal. 

 

  • Focus on Soft Skills

 

While industry knowledge and software development training are necessary, you also need to have proper soft skills. Spend time improving your techniques, interact with peers and experts and build a network. 

 

  • Receive Training and Certification for All Skills

 

The final practice which is crucial is a certification. While you can be a self-taught software developer, it is best to receive a certificate from a renowned institute like Imarticus Learning. This will help you stand out and also approach important companies in the industry. 

How to Start Your Career as a Software Developer? 

Before you start a career in software development, you need to enroll in a software developer course. At Imarticus Learning, we offer Certification in Software Engineering for Cloud, Blockchain, and IoT.

For this course, Imarticus Learning has collaborated with IIT Guwahati and E&ICT Academy. Experts from these institutions have created a curriculum that is futuristic and closely related to the current business needs and conditions.

Academicians hold interactive sessions and encourage students to learn through active participation. You can also interact with your peers and develop your soft skills. The duration of this program is 9 months and over this period, you will receive intensive, hands-on training. You will learn the fundamentals of new-age software development and engineering and software architecture. 

Once you complete the course from Imarticus Learning, you will be able to sit for interviews and land lucrative jobs at reputable companies. The industry experience that you receive through 6 Capstone projects will help you secure your future as a software developer.

How AI courses are empowering Influencer Marketing?

Posted on by Imarticus Learning

The AI certification is more relatable to the industries such as security, e-commerce, surveillance, etc. People don’t usually think of it in terms of marketing, especially influencer marketing. But it is one of the most effective strategies to promote a product. 

Influencers are the big thing these days in marketing. People tend to follow and believe them and try to implement the tips and tricks by these experts in their lives. Brands are looking for those successful influencers to market their products in their relevant industries and niches. 

There may not be a wider range of customers with influencer marketing but the small number of them could turn out to be more loyal and make a strong base. This is why it is essential to find successful influencers in the respective niches. Artificial Intelligence can help in this search for influencers and save them time and effort. 

How do AI courses help?

For the successful application of AI in influencer marketing, one must know how it works in this industry. Those who pursue any kind of Artificial intelligence and Machine Learning course must be doing a project at the end of their course. Courses such as the AIML from Imarticus offer this opportunity by options of projections from various industries, including marketing and social media marketing. 

To find the most suitable customers for any [rduct, one must find out who is interested, what their age groups and other minute factors. What helps with this finding is ML and the model projected by it. It helps narrow down the target and then goes and finds the best influencers in this field. 

An example of one such project with Imarticus certification course is Marketing Classification that finds out about the interests of teenagers to help with product marketing. Someone having experience in such a task can help find the right targets and market the products better. 

What is the result?

The result of using AI, Machine learning, NLP and other tools here will 

  • Help create a framework that helps reach the target audience
  • Identify those microblogging content creators for each marketing segment
  • Can identify the influencers who are willing to be on board for a long term
  • Helps create a constant digital presence with minimal expense 
  • Create a workflow plan to make the process easier.

Choosing the right course

Artificial Intelligence is applied in almost all industries. Each industry will be using it for the various departments and each department will be using it for different purposes. AI is not a single technology but one that uses various technologies to come up with a working model. The best course in AI will be covering multiple fields and having the expertise of the leaders of the industry.

This Imarticus course Certification In Artificial Intelligence & Machine Learning is conducted by IIT Guwahati. It not only covers a wider and relevant field in AI and ML but also conducts various discussions, exercises, projects, and assessments with the help of experts and mentors. This is one course that will help you be updated with the latest technologies. The Capstone project will help boost your knowledge and experience in the required field. 

Conclusion

Having someone with an Artificial Intelligence certification can help a company assess the various aspects of digital marketing and fine-tune the process by eliminating unnecessary segments and diverting attention to the most useful ideas and their implementation. Influencer marketing is one such advantageous segment of digital marketing that helps improve engagement rate and content quality. It has helped the leading brands in achieving their goals quickly and accurately. 

Robot pizza delivery: The tale of AI and smartest self-driving engineers

Posted on by Imarticus Learning

The demand for AI certification courses is increasing day by day. People are interested in understanding this technology and learning how they can utilize this knowledge for their growth and how they can come up with unique innovations to help make their lives easier. One such innovation is the Robot pizza delivery system!

The tale of self-driven pizza delivery ‘robots’

When you order pizza online, you will see options- takeaway and delivery. Now, people in Houston, Texas have an additional option for their Domino’s Pizza delivery, NURO 2. It is a smart robot that delivers your pizza to your doorstep. Customers can track these self-driven robotic vehicles on GPS. On delivery, they need to enter the PIN to get access to their orders. 

NURO is a startup founded by Dave Ferguson and Jiajun Zhu. This AI-based company added robotics into the picture to produce the spawn of their original project Google’s self-driven cars. The founders were the leads of the projects that included Machine Learning, computer vision, prediction, for the former and the latter handling the perception and stimulators.  

After quitting their jobs with Google, they founded this company and now have thousands of employees and are making hundreds of self-driving robotic vehicles for deliveries. 

What it means is that their core technologies involve AI and Machine learning which helps achieve this feat. It also shows that even a startup by someone having expertise in the technology can achieve much more and faster than the giants in the field. 

Learning AI and ML

These days one can easily find a course to learn AI and ML. But what matters more is what exactly you learn and from where you get the expertise. When you choose a course, it’s better to be from one of the leading institutions such as the IIT. 

You can enroll for the IIT AI ML course, the Certification In Artificial Intelligence & Machine Learning, By E&ICT Academy, IIT Guwahati. It is a 36-week course with a 3-day on-campus immersion at the IIT. The curriculum covers all the latest technologies associated with AI to help you get a strong base of the technology. 

Participants will be getting to work on the ML and Deep learning projects to shape them into experts in this field and prepare for the in-demand job profiles. 

More about the AI ML course

This Artificial Intelligence certification is not for novices but for those with a degree in related subjects such as Computer, engineering, science, maths, economics, or statistics or having at least 2 years of experience in related fields. 

The classes will be online-mode except for the 3 days on the campus. The live training classes will be conducted by experts in the industry and by the professors at the academy. 

There will be a Capstone project towards the end of the course which will be from various industries such as real-estate, security and surveillance, mobile manufacturing, hospitality, airline, marketing, healthcare, advertisement, education, e-commerce, etc. You can choose your project as per your interest. 

Apart from the project the participants will be getting mentorship assistance for motivations, tips, and encouragement for the progress, and will also get long-term assistance and connections, even after the course. 

Conclusion

The certification in AI is available for beginners and experts and one can choose the most suitable one according to the industry and interests. The prospects of using AI in day-to-today lives is increasing exponentially. Those who have creative visions must surely learn more about this technology. Who knows, maybe you can also come up with such innovations as the robot pizza delivery!

The best research and investment tools for a machine learning course

Posted on by Imarticus Learning

As machine learning becomes more popular, many people look to get into the field. But what are the best research and investment tools for a machine learning course in 2022?

This post will discuss the critical tools you will need to succeed in a machine learning course. So, if you are pursuing a career in machine learning, make sure to read this blog post!

Why are research and investment tools necessary?

Research and investment tools are essential because they allow you to research and invest in new technologies. In a machine learning course, you will need to complete a lot of research to keep up with the developments in the field. Additionally, you will need to invest in new technologies to improve your skillset. Thus, research and investment tools are essential for any machine learning course.

What are some of the best research and investment tools?

Many different options are available for research and investment tools for machine learning. Each has its benefits and weaknesses, so choosing the right tool for your needs is crucial.

Here are some tools for machine learning course in 2022:

#01: Python

Python is one of the most popular programming languages for machine learning. It has a large community, and there are many open-source libraries available. Additionally, it is easy to learn, and you can use Python in your research projects because it is an interpreted language with dynamic typing and garbage collection.

#02: TensorFlow

TensorFlow is a popular open-source library for machine learning. Google developed it, allowing you to perform complex mathematical operations on data. TensorFlow is also widely used in the industry, so it is a great tool to learn if you want to pursue a machine learning career.

#03: Keras

Keras is an open-source neural network library written in Python. François Chollet developed it, and it allows you to design quickly and train deep learning models using a few lines of code.

#04: PyTorch

PyTorch is another popular machine learning framework based on Torch, an open-source machine learning library. PyTorch is for deep learning, and it allows you to develop and test your models quickly.

These are just a few research and investment tools available for machine learning courses in 2022. Make sure to explore all different options before choosing the right tool for your needs.

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