Coding Resources for Getting Started with Your Artificial Intelligence and Machine Learning Course

Nowadays, AI and Machine Learning courses have become quite popular among computer science enthusiasts. Besides the traditional employment opportunities, completing these courses have opened up new opportunities for them. 

However, the question is, where to get this certification from? Well, to help you in this quest and find the right answer, here are some artificial intelligence and machine learning courses that you can start your journey with.

Coding resources to get started with AI and ML course

  • CS50 Harvard: Introduction to AI with Python

CS50 is a public course which has been taught by David Malan. Since David is a Harvard-based professor of Computer Science, the course contains all the resources and the teaching style of Harvard. And this is a big plus for students. Being the largest course in both Harvard’s MOOC resources and on the online education platform, edX, the course has millions of followers.

 

This AI and Machine Learning course comprise the basics of AI and ML, like Graph Search Algorithms, Reinforcement Learning, Intelligent Systems, Machine Learning Algorithms, Natural Language Processing, Neural Networks and other concepts. What’s best about this course is that it is taught in an interesting way and an easy language so that beginners can also pick on the complex concepts and jargon in a super easy manner. The auditing classes are free of cost, and it is also one of the most considerable online resources for AI and ML.

  • Google’s machine learning crash course

This ML course by Google has been coupled with the TensorFlow APIs course. This course is equally beneficial for beginners and those with previous experience in programming and mathematics. The course contains lectures on video, practical exercises and real-world case studies. Within a week or two, you will be able to understand how to program ML algorithms.

  • Purdue University and IBM’s AI and machine learning courses

In collaboration with IBM, Purdue University has developed this course for advanced learners who have a basic understanding of AI and ML. It covers concepts like basic ML algorithms and techniques, reinforcement learning, NLP, neural networks and how to utilise tools like Amazon Sagemaker, Python, TensorFlow, Keras, OpenAI gym, Alexa and other popular frameworks and libraries.

As students, you will also be given live guidance sessions by faculty from Purdue or industry experts from IBM. The faculty is internationally recognized and has industrial experience in AI and ML. The best feature of this artificial intelligence and machine learning course is that you can participate in the exclusive IBM hackathons. You will also get to work on capstone projects with industrial datasets from companies like Mercedes-Benz, Twitter and Uber. To be enrolled in this course, you need to have basic knowledge of programming and mathematics. If you have work experience, then you would have the edge over others to get approved for this course.

  • AI and Machine Learning Course from freecodecamp.org

If you are looking for a free course to sample what is in store in AI and ML, then this is the best one on AI and ML available online. It is a must for those who have prior coding experiences in life. But still, it is recommended that just like the other courses, it would be beneficial if you had some programming knowledge in Python and some basics in mathematics. This course would give you a walkthrough via the beginning steps, helping you qualify for an intermediate level of understanding. From that, you would be prepared to go to the next step or the advanced level in AI and ML.

  • AI and ML course from Imarticus Learning and E&ICT, IIT Guwahati

This is a prestigious IIT AI ML course, and the faculty is also one of the best in the country. You will get to learn about basic Python programming concepts. From that, you will graduate level by level, taking you from the easy to the most complex concepts in artificial intelligence and machine learning. It is by far the most reliable course on this list.  

Not only that, you will receive training from industry-grade projects. Then you will also get placement assistance alongside mentorship on various aspects like how you should approach problems and how you should build your portfolio as an AI and ML engineer. It is a good and valuable AI and ML course offered by Imarticus Learning and IIT Guwahati.

To sum up, as the demand for AI and ML increases in the coming years, the demand for capable professionals will also be sore. So, if you can complete an artificial intelligence and machine learning course from any reputed institute and learn how to develop programs, it will help you reach the top of the field without any hassle. Hopefully, this write-up has offered you some insights on the courses to start your journey with. So, get enrolled to create your success story. 

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Things your artificial intelligence and machine learning course should be teaching you

Artificial Intelligence (AI) and Machine Learning (ML) are technologies that have the potential to revolutionize virtually every industry. AI is an umbrella term for various methods and algorithms used to create intelligent machines that can analyze data, recognize patterns, and make decisions on their own. ML is a subset of AI that uses algorithms to learn from large amounts of data sources in order to identify patterns, trends, and insights without being explicitly programmed or supervised.

These two technologies transform businesses by enabling them to become more efficient, accurate, faster-paced, customer-focused, cost-effective, and responsive.

Making a career in Artificial Intelligence and Machine Learning?

Making a career in Artificial Intelligence and Machine Learning requires gaining knowledge and experience:

You should understand the fundamentals of AI and ML, such as how algorithms work, identify patterns in data and apply machine learning models to solve problems.

You should also gain practical skills by building AI/ML projects using open-source libraries and frameworks.

It is important to stay up-to-date with AI research and technology advancements and learn new strategies for tackling complex problems.

Seek out professional opportunities where you can gain valuable hands-on experience working on real-world applications.

Dedication and hard work make it possible to craft a promising career in this burgeoning field.

How to choose an ideal Artificial Intelligence and Machine learning course?

Choosing an ideal AI/ML course depends on your current skill level, preferred learning style, and goals.

Start by looking for a system that covers the fundamentals of AI and ML, such as basic algorithms and statistical methods.

Additionally, take courses that provide hands-on practice with tools such as Python, TensorFlow, Keras, and Scikit-learn.

Finally, look for courses tailored to specific application areas such as natural language processing (NLP), computer vision (CV), or robotics.

With so many online options available today, there is sure to be a course that perfectly fits your needs.

After completing an AI/ML course, you will have gained many skills, such as:

-Data analysis and modelling techniques to extract insights from data

-Programming algorithms in Python or other common programming languages

-Building machine learning models using popular libraries such as TensorFlow and Keras

-Understanding the fundamentals of deep learning and applying it to different tasks

-Using computer vision and natural language processing (NLP) for complex applications

-Developing strategies to solve complex problems with AI solutions

-Creating real-world projects that demonstrate your knowledge of AI/ML principles. With these skills, you will be able to build powerful AI/ML systems that can help businesses become more efficient, innovative, and cost-effective

By mastering these skills, you can pursue exciting opportunities in the AI/ML field.

Transform your career and Grow Exponentially with Imarticus Learning:

Empowering a new generation of professionals, Imarticus Learning offers exclusive learning and training through this Artificial Intelligence and Machine Learning course. We bet this is the best Machine Learning & AI certification to kick-start a Data Science Career.

An industry-approved program designed by E&ICT Academy, IIT artificial intelligence course this program is made for future Data Scientists & ML Engineers.

This AI certification program is designed with the E&ICT Academy, IIT Guwahati and industry leaders. It provides in-depth insights into basics, resulting in the best learning outcome for aspiring Artificial Intelligence and Machine Learning professionals. You go through a 9-month extensive learning schedule and prepare for the different roles as Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

With goals to bolster your foundational skills in Artificial Intelligence, this AI Certification fits into the couch rightly. With an expert mentorship facility, students enrolling in this course gain a practical understanding of AIML. The best part is that this course helps you unlock lucrative career opportunities in the coveted fields of AIML.

Course USPs:

  • Learn Job-Relevant Skills
  • E&ICT Academy, IIT Guwahati Campus immersion
  • World Class Mentorship
  • Flexible Learning Process

You get an exciting opportunity to participate in a unique 3-day Campus Immersion module at the E&ICT Academy, IIT Guwahati Campus, where you interact with peers and learn from expert faculty.

For further details, contact the Live Chat Support system or plan a visit to one of our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How the artificial intelligence and machine learning course from IIT can reform your career

How the artificial intelligence and machine learning course from IIT can reform your career

The field of artificial intelligence and machine learning is growing by leaps and bounds these days. Many experts believe that it is the future of computing, and businesses are scrambling to get a piece of the action. If you’re looking for a way to jumpstart your career in this exciting field, then you should consider taking a machine learning and artificial intelligence course from IIT.

But why exactly should you study at IIT? Here are ten reasons why:

Certification by E&ICT Academy, IIT Guwahati

The E&ICT Academy of IIT Guwahati is a leading institution in the field of Information and Communication Technologies. It offers artificial intelligence and machine learning certification that is well-recognized in the industry.

Multiple AI and ML Tools and Languages Covered

artificial intelligence and machine learning courses

In the machine learning and artificial intelligence course from IIT, you will get to learn about various tools and languages used in the field. This will give you a well-rounded understanding of the subject and make you more employable. Some of the languages you will learn to include Python, R, and Java. You will also get to use popular AI and ML tools such as TensorFlow and Keras.

Live Sessions By Industry Experts

The machine learning and artificial intelligence course from IIT are taught by industry experts who have years of experience in the field. They will provide you with live sessions, 8 hours/week, that will help you understand the concepts better. It will also give you an opportunity to ask questions and get clarification.

The faculty includes prestigious professors like Dr. Prithwijit Guha, Associate Professor Dept. of Electronics and Electrical Engineering IIT Guwahati and Dr. Ashish Anand, Associate Professor Dept. of Computer Science and Engineering IIT Guwahati, among others. They will ensure that you get the best education possible.

Industry-Approved Curriculum

The curriculum of the machine learning and artificial intelligence course is designed keeping in mind the latest industry trends and other IIT courses. It covers all the important topics that you need to know to get started as well as advanced concepts that will help you in your career. The curriculum is also updated regularly so that you are always up-to-date with the latest advancements.

Flexible Schedule

The AI course is designed in line with the National Education Policy (NEP) 2020. It is flexible and can be taken up by working professionals as well as students. The course duration is also flexible and you can complete it at your own pace. You can even transfer program credits for a period of 1 year.

Campus Immersion

The course offers an immersive 3-day campus immersion at the E&ICT Academy, IIT Guwahati Campus that will give you a chance to interact with the faculty and get a feel of campus life. This will also help you network with other students and professionals.

This is the only machine learning and artificial intelligence course that gives you the opportunity to engage in a world-class campus education experience while also mastering the practical applications of AI & ML through live online classes.

Real Industry Projects

You will get to work on real industry projects as a part of the IIT course. This will give you an opportunity to apply the concepts that you have learned and to get hands-on experience. There are 25 projects in total that ensure that you get a well-rounded education. Moreover, there are 100+ assignments that reinforce the concepts.

Positive Ratings and Reviews

The ML and AI course has positive ratings and reviews from students. This is a testament to the quality of the machine learning and artificial intelligence course and its ability to help students reform their careers. It has a rating of 4.8/5 from 621 learners.

Extensive Career Support

The AI IIT course provides extensive career support to its students. The career services team helps you with placements, internships, and job opportunities. They also provide you with mock interviews, resume building, profile enhancement, and tips on how to crack the interviews. Moreover, they guide how to start your own AI-based business.

Placement In Top Companies

The machine learning and artificial intelligence course from IIT has a high placement record. Students have been placed in top companies such as Accenture, ICICI Bank, Oracle, Standard Chartered, Infosys, Tata Consultancy Services, and Wipro, to name a few. The salaries offered are also very competitive.

Conclusion

So, if you are looking for a course that can help you reform your career, the Machine Learning and Artificial Intelligence Course from IIT is the right choice for you. You will get an opportunity to learn from the best faculty, work on real-world projects, and get placed in top companies. This will ensure that you have a successful career in the field of AI and ML.

If you need more information on the IIT machine learning and artificial intelligence course, you contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad. We will ensure that all your queries are addressed and you have a smooth learning experience.

How to choose the right artificial intelligence and machine learning course for your career in 2022

The demand for Artificial Intelligence (AI) and machine learning professionals is increasing every day. This, in turn, has resulted in an increased demand for machine learning and AI courses that can help people enter this field. Naturally, there are now dozens of such courses available online and offline. Every course claims to be the best and promises to help us get a job in the industry. So, how do we choose the right course for our career?

Here are a few things to consider when choosing an Artificial Intelligence (AI) and machine learning course:

Course Content

When choosing a course, it is important to look at the content that is being offered. The course should cover all the essential topics related to AI and machine learning.

For example, the course should cover supervised and unsupervised learning, deep learning, natural language processing, etc. In addition to the essential topics, the course should also offer electives that we can choose based on our interests and career goals.

For instance, to become data scientists, we should look for a course that offers electives such as statistics, data mining, etc. Similarly, if our goal is to become a machine learning engineer, we should look for a course that offers electives such as big data and cloud computing.

Course Instructors

Another critical factor to consider is the instructors of the course. The instructors should be experts in the field with years of experience. They should be able to offer insights and real-world examples that can help us understand the concepts better.

In addition, the instructors should be available to answer our queries and help us with our assignments. They should be able to provide feedback on our work and help us improve.

Course Format

Nowadays, courses are offered online as well as offline formats. Choosing a course format that suits our learning style and schedule is important. Each of the formats has its own set of pros and cons.

An online course will be a better option if we look for a flexible learning schedule. On the other hand, an offline course would be a better option if we want a more structured learning environment.

Similarly, an online course would be a better option if we want to learn at our own pace. But, if we want a more structured experience, an offline course would be a better option.

Moreover, an offline course provides an opportunity for a face-to-face learning experience, while an online course removes all geographical barriers.

Placement Policies

corporate leadership

Every student wants a course that will guarantee job assurance after completion. While no course can offer a 100% placement rate, a good course will have a strong track record.

The course should have a good network of alumni and industry connections. The course should also offer mock interviews, resume-building assistance, and so on to help us prepare for our job search.

Moreover, the course should offer a refund or a discount if we do not get a job within a certain period. This shows that the course is confident about its ability to help us get a job.

Reviews And Testimonials

The reviews and testimonials of past students can give us a good idea about the quality of the course. We can read the reviews on the course website, social media, and third-party websites. Looking at the positive and negative reviews is advisable to get a well-rounded view of the course.

However, we can’t completely rely on online reviews as they can be biased. It is best to talk to people who have already completed the course and get their opinion. This will help us get an unbiased and honest opinion about the course.

The Fees And Payment Options

Finally, we should also consider the fees and payment options. The course should be affordable and should offer flexible payment options. In general, machine learning and AI courses are costly. However, there are a few courses that offer discounts and scholarships. We should look for such courses.

Moreover, certain courses offer EMI options to help us pay the fees in installments. Similarly, several courses offer pay-after-placement options. We should consider such options if we are worried about the fees.

Conclusion

We should consider these factors when choosing a machine learning or AI course. Keep these factors in mind and choose a course wisely. This will help us get the most out of our investment and set us up for a successful career in machine learning or AI.

If you are looking for a machine learning or AI course, you can check out the Certification in Artificial Intelligence & Machine Learning course offered by E&ICT Academy, IIT Guwahati. Some course highlights include Certification by IIT Guwahati, 8 hours/week of live sessions by academicians and industry experts, an industry-approved curriculum, and so on.

If you need support choosing the right course for your career, you can contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

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What you need to look for in an artificial intelligence and machine learning course

What you need to look for in an artificial intelligence and machine learning course

Artificial Intelligence and Machine Learning are two highly demanded career opportunities in the present market. A lot of aspirants are unsure about which career path they should choose. This can be a real confusion because Artificial Intelligence and Machine Learning are tools used in Data Science and any product related to AI demands you to have strong knowledge in the field of Artificial Intelligence. 

You can avail artificial intelligence and machine learning training from any reputed institution and future-proof your career. By choosing the right AIML course you can get an assured career in Data Science with lucrative job opportunities that are relevant to your field of study.  To know more about this program in Data Science and Machine Learning, read below: 

What should you look for in a productive Artificial Intelligence and Machine Learning Course? 

These are the things you should look for in an Artificial Intelligence and Machine Learning course:

  • Industry projects 

You can be assured that the course will benefit you if it delivers where you can use the skills you’ve learned and get hands-on experience. 

  • Type of learners and learning 

You must ensure that the program has learners belonging from varied backgrounds, experiences, and geographies, they have better networking by which they can offer new opportunities and experiences. 

  • Learning support 

If you get constant learning support from the program and it allows you to choose your class timings, you’ll find it easier and faster to learn based on your schedule. 

  • International recognition 

If the program is certified by reputed industries or international universities, it can add a lot of value to your resume. So, you must check whether the course you’re opting for has international recognition or not. This will increase your chances of having a lucrative career in machine learning

  • Type of tools and skills that are included 

Don’t forget to check the type of skills and tools which are covered by the course you’re enrolling for. If you get to learn about using the in-demand skills and tools, the course will become more useful for you.

Why should you opt for this course in Artificial Intelligence and Machine Learning? 

If you’re still looking for reasons to opt for this course, here are some important ones you can consider: 

  • Acquire job-relevant skills 

Brace yourself for an exciting career in Data Science by mastering the in-demand AI and Data Science skills. The course involves 25 realistic projects which focus on delivering exposure to varied industries. You can assure yourself of a strong career in Data Science with this course. 

  • Licensed by E&ICT Academy, IIT Guwahati 

Grab your employees’ attention and show off your AI skills with a certificate from E&ICT Guwahati and Imarticus Learning, one of India’s most reputed academic partnerships. 

  • Well-known academic faculty 

You can take classes from one of the most reputed faculty in the country through discussions and live online sessions. The sessions delivered by these academic professors will guide you in developing clear Data Science concepts. The industry experts also help you in getting hands-on experience in implementing the concepts you learn. You can also work on realistic projects based on Deep Learning, Machine Learning, and AI. 

  • Flexible learning 

The curriculum of this course has been designed as per the NEP 2020 which gives you the flexibility of transferring the program credits for almost 1 year. 

What’s this program all about? 

best data analytics course

This certificate program in Machine Learning and Artificial Intelligence has been created in partnership with IIT Guwahati, E&ICT Academy, and industry giants to deliver a unique learning experience to the aspirants of Artificial Intelligence and Machine Learning. The duration of this program is 9 months and it helps you get prepared for many job roles like Data Analyst, AI Engineer, Data Scientist, and Machine Learning Engineer. 

This program can strengthen your basic skills in AI. Get the best out of expert mentors and acquire a practical knowledge of Artificial Intelligence and Machine Learning. We offer real-world projects from varied industries for you to work on. This course can be very helpful for you in unlocking profitable career opportunities in all related fields of Artificial Intelligence & Machine Learning. 

Conclusion 

That’s all you should know about this very beneficial program in Artificial Intelligence and Machine Learning. If you’re aspiring to a career in Data Science, you must have a clear concept of both Artificial Intelligence and Machine Learning. Both AI and ML are tools used in Data Science. This course can effectively help you in building and strengthening your Data Science. There’s no need for you to give a second thought and enroll for this course as soon as you can. It is very easy to register for this program and you just need to visit our official website to apply. So, don’t waste any more time, and go ahead! 

Is embodied learning essential for artificial intelligence and machine learning courses?

Is embodied learning essential for artificial intelligence and machine learning courses?

Embodied learning is a form of learning that has been around for quite some time in the field of education. In this approach, one not only provides an intellectual manner of teaching but also involves the whole body in the process. Embodied learning is a form of a pedagogical technique that emphasizes the role of the body and emotions in learning rather than only the mind. The link between the body and the mind lies at the heart of embodied learning.

It is hard to imagine a more rudimentary approach to education than the traditional deep learning training technique taught in most machine learning certifications. It is based on giving information about the world in a random and repeating manner in the hopes that the learner, i.e. the neural network, would be able to separate and generate adequate abstractions of reality.

Embodied AI research and development is mostly focused on computer vision research ideas, in contrast to the first AI technology that relied on data and mathematical optimization. Natural Language Processing, Computer Vision using OpenCV and Convolutional Neural Networks, Reinforcement Learning and Robotics are all part of embodied learning or embodied AI. Using a realistic simulator in a three-dimensional environment, AI virtual robots and egocentric aides may be trained in an embodied environment before being used in the field.

How Does Embodied Learning Work?

Embodiment in AI refers to working with physical systems in the actual world, “robots”, in other terms.

Evolving AI researchers are shifting away from an algorithm-driven approach. Instead, they seek to get a thorough understanding of how biological systems operate before applying that knowledge to the creation of artificial systems like robots or intelligent technologies.

To interact with the real environment and to learn from their encounters, the robots use artificial intelligence, sensors that can collect data from the environment around them, and AI systems that can analyze and “learn” from this data.

Computer Vision

Computer vision is a branch of artificial intelligence that focuses on teaching computers to recognize and analyze visual and video input. Machine learning (ML) models may be used to identify and react to photos. An application of computer vision is unlocking the smartphone through face recognition.

Why This Course?

To position yourself for employment, study the principles of data analytics and machine learning and master the most commonly used data science tools and approaches, Imarticus’  certification in artificial intelligence & machine learning is one of the most comprehensive artificial intelligence courses out there. Students who successfully finish this program will be guaranteed interviews.

Over the years, Imarticus’ placement partners, numbering in the hundreds, have held recruitment drives and have hired students more than a thousand in number. Mock interviews will be conducted by professionals in the field; capstone projects, career mentorship, and other services are all part of the Career Services program. To help the students succeed in the job market, Imarticus devotes its time and attention to each candidate. You will learn how to improve your LinkedIn and GitHub accounts, as well as your CV.

Conclusion

Embodied AI’s early growth has been aided by recent advances in Internet AI. In order for robots to be able to successfully interact with the actual world, Embodied AI will need to surpass the achievements of Internet AI. Imarticus’ certification in artificial intelligence & machine learning, mentoring, and career services will boost your career to the next level if you are seeking a comprehensive program in artificial intelligence and machine learning. Learn AI from the best in the industry. There is no time like the present to get started on your journey to being a data science professional.

5 Qualities The Best People In The Artificial Intelligence Industry Tend To Have

5 Qualities The Best People In The Artificial Intelligence Industry Tend To Have

Working in the artificial intelligence industry is no easy task. This sector is growing at a fantastic rate, and this growth shows no sign of slowing down. Every day new companies are popping up, and more general businesses are looking to get involved with machine learning programs. This means there is a high demand for developers with skills in artificial intelligence. 

Artificial intelligence (AI) technologies have grown in recent years. Our daily lives get impacted by these artificial intelligence applications, which range from self-driving automobiles to robots serving meals in restaurants. AI primarily creates intelligent systems and software based on how human minds reason, learn, make decisions, and solve problems. It lets robots know via experience and carry out tasks similar to humans. But what exactly makes a good AI candidate? 

Here are five qualities that the best people in the artificial intelligence industry tend to have:

Love of learning: AI requires constant learning and development. You’ll need to be able to learn new skills quickly so that you can adapt as technology changes over time. 

Creative thinking: Creative thinking is essential if you want to create something original with AI—an algorithm that detects faces in images or an app that automatically generates high-quality music based on your taste preferences.

Emotional intelligence: Being able to deal with emotions daily will help you better understand how humans react when faced with difficult situations—and thus better handle those situations yourself when they arise in your life! 

Be able to explain complex ideas: They’re able to explain difficult concepts easily. They can do this through strong writing skills or by communicating with clarity and precision.

Strong work ethic: These professionals are willing to put in the time and effort necessary to achieve their goals—and they don’t give up easily when things get complicated.

These qualities are essential for people who want to work in AI because it takes a lot of dedication and discipline to learn how it works and then figure out how you can use it for your purposes. AI is essential since it is the fundamental building block of computer learning. 

Learn AI and Machine Learning Courses with Imarticus Learning.

Corporate leadership

Attend the E & ICT Academy deep learning Artificial Intelligence certificate program to discover how to become an AI engineer. This IIT AI ML Course will help students prepare for careers as data scientists, data analysts, machine learning engineers, and AI engineers. 

Course Benefits For Learners:

  • To get practical industrial experience and prepare for a fulfilling data science career, students work on 25 real-world projects. 
  • You may amaze employers and demonstrate your talents with a certificate authorized by the E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed credential. 
  • This artificial intelligence course will help students land lucrative jobs in machine learning and artificial intelligence.

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

Top 6 fun uses of artificial intelligence and machine learning

Top 6 fun uses of artificial intelligence and machine learning

Artificial intelligence (AI) is used in almost all electronic devices to make them capable of human use. AI has gained popularity in recent years because of its multiple benefits. For example, AI allows software applications to understand data, analyze it, and present reports and insights.

Machine learning (ML) is part of artificial intelligence. In the current era, it is essential to learn an Artificial Intelligence course to master the skills needed for machine learning.

Here are some fun ways of using Artificial Intelligence and Machine Learning.

1. Personalized online selling

Artificial Intelligence helps software understand the customer’s likes and creates algorithms based on the same.

AI also helps generate a list of products to meet the interests, enabling e-commerce websites like Amazon to identify the search pattern of customers and then recommend the latest developments.

With the help of Artificial Intelligence, it becomes easy to access personalized selling.

2. Video Gaming

Artificial Intelligence has increased creativity in the gaming industry. It makes the game more thrilling and attracts vast customers.

Artificial Intelligence understands the pattern of games played by people. Once this is known, the next step is creating a character that AI controls. This gaming character understands the player’s technique and produces counter-attacks.

To explore the field of AI in video gaming, attend the Artificial Intelligence Course.

3. Smart Homes

The usage of Artificial Intelligence apps is increasing in intelligent homes. Smart locks, voice-controlled appliances, switches, and other gadgets. The gadgets have taken the urban lifestyle to the next level. 

The usage of Artificial Intelligence has made homes energy-efficient systems. For instance, smart homes can automatically switch off the light and fan once the user steps out of the room, thereby saving electricity.

AI uses a tremendous amount of information to imitate human intelligence essentially. As a result, intelligent home appliances with AI capabilities may interact and communicate with one another, which enables them to pick up on human routines.

AI innovative home technologies gather data to forecast user behavior and provide situational awareness.

4. Machine Learning as a Chatbot Friend

Multiple mobile applications have friendly chatbots powered by Machine Learning. It studies your data and then communicates as a friend. Machine Learning helps the chatbot speak about users’ interests and send text messages similar to humans.

Replika is one of the most well-known and influential AI companions, with over 10 million users. Replika can detect photos and carry on the discussion with them, unlike conventional chatbots.

You can pick and give your AI buddy a name with Replika. You gain points as you chat with it and can use these points to unlock your AI friend’s interests, characteristics, outfits, or appearance.

It can act as a mentor, assisting you in forming good habits. When you provide personal information with Replika, such as the names of your pet, nation, and friends, it keeps a record of it and uses it in chats.

5. Hum to Search

The ‘hum to search’ concept was invented through Machine Learning. You hum a song to the particular app, and it identifies the song for you. Machine Learning works by embedding the melody from the music and finding the right piece. You can use that to search for the oldest and the most recent songs from the database. 

Shazam and Pixel Sound Search are both good. However, they can only identify the exact song when pitch, speed, and instruments are present. But Google went a step further and developed “Hum,” which can even identify song names if you “hum” at it for 15 seconds while using a tone corresponding to a specific song. 

6. Facial Recognition

Machine Learning is the magical element that enables apps to recognize the facial features of humans. Moreover, it also allows beauty apps to detect faces and apply filters. Machine Learning teaches these apps to see the face, align it, and extract and recognize the facial elements.

Almost every industry uses Artificial Intelligence and Machine Learning to enhance the user experience. Artificial Intelligence and Machine Learning applications have expanded to extended cloud service. 

An Artificial Intelligence Course is essential to understand the dynamics of the software. If you are interested in learning about Artificial Intelligence and Machine learning, you can visit our training centers in Bengaluru, Pune, Chennai, Delhi, Mumbai, Gurgaon, Ahmedabad, and Thane. 

You can also visit our website for a chatbot that will clarify your doubts 24/7. You can subscribe to the email and receive an update from our executive.

Welcome to the world of unlimited potential with Artificial Learning. Get busy creating!

How Long-Term Modelling of Our Future Energy System Can Be Mapped With Artificial Intelligence and Machine Learning?

Today, technology and sustainability are the main axes of development. To secure the planet and continue the growth of industry, we are engaged in a global energy transition. Most countries have become aware that measures must be taken to address a problem that, if not curbed, will have catastrophic consequences for the environment and, of course, for human beings themselves.

ai and ml courses by E&ICT Academy, IIT GuwahatiHowever, such a transformation requires the support of technology and, because of the enormous amount of data, artificial intelligence and machine learning courses are the basis to ensure the advancement of the energy sector.

At Imarticus you can join the postgraduate program in data analytics & machine learning (AIML). 

Technology as a tool

Changing the energy paradigm of the last century will be an arduous and complicated task. That is why new technologies have a lot to say as tools to facilitate evolution. The Internet of Things, machine learning, artificial intelligence, and Big Data will be key to making the processes of change as effective as possible. Massive data analysis must become a fundamental pillar for transforming how energy is generated, transmitted, and distributed.

Artificial Intelligence allows us to handle enormous quantities and analyze them logically and reasonably. About energy, in particular, we have data on meteorology, health, or the behavior of the people involved in the system: who generates electricity, who transports and distributes it, and who consumes it. Data that, when properly analyzed, can provide a tailor-made understanding of the sector.

The development and implementation of intelligent systems must not only facilitate the massive introduction of alternative energy sources but will also have the task of achieving rationalized storage of this energy, as well as providing greater flexibility for the demand, i.e. the people who use it.

Three levels of analytics can be applied: descriptive, to know what information is available and where to apply intelligence, predictive analytics, to anticipate production or demand, and prescriptive analytics. With the data, we work on predicting production, including renewable energies and demand, with the implementation of smart meters.

In addition, technical and non-technical incidents, such as energy fraud, are detected. All of this is aimed at optimizing the energy model, with the resulting economic and environmental benefits. We will see a huge take-off in the number of professionals who will choose to pursue a machine learning career.

Tools for the consumer

In this scenario, smart meters and internet-enabled sensors will be commonplace, which will improve our energy use while at the same time making it possible to bring costs in line with what each individual actually consumes. Thus, machine learning will automate processes, while artificial intelligence will make it possible for devices to work automatically and learn from consumers’ habits. This will also be possible on a large scale, so that the operation of future solar or wind power plants, to give just two examples, will be more effective in a shorter space of time.

In this respect, we should note that although everyone is involved in the energy transition and awareness must start in every household, the technology will be geared towards people having little to do in terms of reducing consumption and costs.

Artificial intelligence-based models and predictions facilitate and will continue to be a major advantage in mapping energy systems. What is most surprising is that this is just one of the many applications of these technologies. If you want to contribute to the change, you can sign up for AI and ML courses by E&ICT Academy, IIT Guwahati.

How Artificial Intelligence and Machine Learning Is Altering the Marketing Landscape?

In this technological era, new technologies are being introduced in the market now and then. Businesses are no more using the traditional marketing methods to generate ROI (Return on Investment). Businesses are using new-age technologies like AI (Artificial Intelligence) and ML (Machine Learning) for better marketing and promotion.

Many young marketers are looking for a certification in AI & ML for securing better job roles in the marketing industry. The marketing landscape is continuously changing, and businesses need a sustainable solution. Read on to know how AI & ML are disrupting the traditional marketing landscape.

Use cases of AI and ML in marketing 

 One can see many real-life use cases of AI and ML in marketing around them. Some of the most popular use cases of AI & ML in marketing are listed below:

  • Businesses now use chatbots for their websites or software applications. Chatbots can interact with customers all day long and can solve basic queries. With a better user experience, businesses can retain their customers.
  • AI & ML can help provide accurate information to customers whenever needed. Inducing automation in marketing processes can reduce the manual load on an organization.
  • AI and ML tools are used by businesses to track dark social sharing up to an extent.
  • Many businesses are planning to use self-driving vehicles for marketing campaigns.

Driving factors for the use of AI & ML in marketing

 At present, businesses need to create personalized marketing content based on the preferences of the customer. Predictive analysis powers of AI/ML tools are helping businesses to create personalized marketing content. The recent COVID pandemic made it difficult for marketers to connect with their customers.

There was no physical interaction with the customers during the pandemic. AI & ML can help in collecting customer data even without stepping into physical markets. The need to decrease human labor in marketing processes has also forced businesses to go with AI and ML tools. With automated marketing processes, businesses can cut costs and boost ROI. In recent times, many businesses have focused on hiring marketers that have a certification in AI & ML for better results.

 How AI & ML are altering the marketing landscape 

Traditional marketing campaigns are launched with minimal insights. With AI & ML, you will have better insights before launching marketing campaigns. Marketing campaigns are becoming target-specific with AI & ML.

An ML/artificial intelligence course can help in learning more about disruptions caused in the marketing landscape. Businesses have to adapt according to the ever-changing marketing landscape to retain their market share. The benefits of AI & ML in marketing are listed below:

  • Marketers are getting better sales leads with AI & ML tools.
  • Marketers can understand the customer behavior and then launch marketing campaigns accordingly. It is better to understand the pain points of customers and then create personalized products/services.
  • Businesses are leveraging the power of customer data with AI/ML tools. The overall marketing cost is also decreased with the use of AI and ML.

How to learn AI & ML in 2021?

Young aspirants can go for the ML/artificial intelligence course offered by Imarticus Learning. The course name is ‘Certification in Artificial Intelligence & Machine Learning’ sponsored by E&ICT  Academy, IIT Guwahati. The certification in machine learning and AI follows an industry-approved curriculum. With numerous real-life industry projects and assignments, Imarticus offers a better learning experience.

Conclusion

Online certification in machine learning and AI can help marketers in securing better job offers. The role of AI & ML in marketing is increasing due to the recent WFH (Work from Home) culture. Start learning AI and ML for productive marketing!