Here Is How You Can Become A Future-Ready Data Analytics Professional!

Employers of all kinds are fast recognizing data science as one of the most in-demand skills. Businesses, government agencies, medical institutions, and charitable groups are all hiring data scientists at a rapid pace.

Do you want to enter the workforce or improve your data science skills? Now that data scientists are in high demand; there are plenty of opportunities to study the craft.

Enroll In Any Imarticus Online Data Science Courses

Online learning is the most cost-effective and trustworthy method of instruction. Before you enroll in a course, verify that it covers the topics you’re interested in and that it is appropriate for your ability level.

Data analytics courseIndustry specialists together created the Imarticus postgraduate data analytics certification program to help you understand real-world Data Science applications from the ground up and build powerful models to deliver relevant business insights and predictions.

This program is for recent graduates and early-career professionals interested in pursuing a data science and analytics career, the most in-demand job skill. With this data science course with a job assurance guarantee, you may take a considerable step forward in your career.

 

How Do I Register For The Data Analytics Course?

This data analytics certification is just what you need if you’re an inquisitive spirit who wants to dominate the digital business by studying the latest and most in-demand data science abilities.

Once you have completed your counseling session and understood this course is right for you; you can then proceed to apply for the data science course in three easy steps:

  • Enquire
  • Enlist in a counseling session
  • Enroll

What Is the Program’s Duration?

The PG Program in Data Analytics is a full-time program that lasts six months (on weekdays). Each week, you will have 4-hour-long lessons from Monday through Friday.

What Is a Hackathon? How Does It Assist?

While enrolled in an Imarticus course, you will be assigned a Course Guide/Mentor who will assist you academically and advise you on the best career route for you.

Your Course Guide will inspire you to finish assignments, attend classes, and get the most out of their PG program in data science with placement.

Moreover, your Course Guide or Mentor will also be playing a role in the following activities:

  • Keep an eye on your grades and academic progress.
  • Provide you with insider information to help you land the job of your dreams.
  • Encourage you to do better on projects and homework in class.
  • Make lasting friendships that will help you get through the course and beyond.

The hackathons at Imarticus Learning allow you to compete against a large number of students and stand out from the pack. They are regarded for instilling critical thinking skills in Data Analytics and pushing them to achieve at a higher level.

Take Away

It takes more than being able to evaluate large amounts of data to become a Data Analytics Professional.

You must also be familiar with the organization’s business processes and identify ways in which your participation will impact, which is now available with Imarticus online data science courses.

What Makes an Imarticus – UCLA Certified Analytics & AI Professionals To Be Forever in Demand

Modern-day technologies like AI (Artificial Intelligence), ML (Machine Learning), data analytics, etc. are revolutionizing the working culture of businesses & firms. Analytics professionals use these technologies to ease & pace the analytics process.

Analytics professionals are required to extract meaningful insights from huge chunks of unorganized data to make better business decisions. Professionals with a certification from a reliable source surely get an edge over others when it comes to upward mobility.

Let us see how can you get the Imarticus – UCLA certification in Analytics & AI along with its benefits.    

Course Overview

Imarticus provides a post-graduate program in Analytics & Artificial Intelligence in collaboration with UCLA Extension which is a major certificate issuing institution in the United States.

Analytics and Artificial Intelligence CourseYou will get dual certification from two reputed sources if you opt for this course. Many individuals have built their Analytics and Artificial Intelligence careers successfully with the help of this course.

You will be receiving live training from world-class celebrities from UCLA & Imarticus. This course has around 400+ hiring partners with a 3-30 lakh salary range. You should have completed your graduation with at least 60% marks to enroll in this course.

Let us see how Imarticus – Analytics & AI professionals are forever in demand.

Broad Course Contents

This 28 weeks long online course covers all the aspects of analytics & AI along with data science fundamentals which helps in building a successful career. You will get to know about various tools/languages via this course like Python, Scikit-learn, Keras, TensorFlow, NLTK, OpenCV, etc. The major topics which will be covered in this course are as follows:

  • Data Science Fundamentals – You will be introduced to statistics in the first four weeks. You will also get to learn Python basics during this tenure. After that, you will perform data analysis with Python. Various concepts of data processing & statistics like central tendency, standard deviation, Z-score, etc. will be taught to you.
  • Machine Learning – ML will be taught to you for 6 weeks. Various topics of machine learning like multiple regression, correlation analysis, dummy variables, etc. will be taught to you. You will also be able to run various ML models in Excel in the practical classes. You will also learn about data science business models developed with the help of machine learning.
  • Deep Learning – Deep learning is a cutting-edge technology used for forecasting & enhancing decision-making ability. You will be taught about deep learning with an industry-first approach for 6 weeks.
  • NLP – Natural Language Processing (NLP) has helped in enhancing the ways humans react with computers. It has also automated the analytics process in firms/organizations. You will be studying this topic for about 4 weeks.
  • Computer Vision – You will be taught about computer vision, an AI-based technology that helps computers in extracting information for digital images and videos. You will focus on this topic for around two weeks including practical classes.

Pros of the Course

Besides the gravity of certifying institutions, the teaching methodology of this course ensures that the students will have a long run in the industry.

 

Analytics and Artificial Intelligence CourseThe pros of opting for this Imarticu’s Analytics and Artificial Intelligence course are as follows:

  • This instructor-led training is self-paced so that you can take your time to understand concepts.
  • You will work on various in-class industry-oriented projects to know about the practices in the industry.
  • You will also come across practice projects, boot camps, capstone projects, workshops, etc. if you opt for this course.
  • You will also get to test yourself in a hackathon at the end of the course.
  • The last two weeks of the course will be dedicated to placement preparation where you will get to learn from industry experts. Imarticus also provide excellent placement support to its students.
  • You will be provided a dedicated program mentor to guide you through the course and also for career advice. You can also monitor your test results & course progress.Analytics and Artificial Intelligence Course

Conclusion

This course follows an industry-first approach to make you ready for the industry. You can build a successful career with the broad topic coverage & placement support of this course.

Analytics and Artificial Intelligence Curse

Enroll in the Imarticus – UCLA Analytics & AI course now!

Ever Thought of A Career in New-age Banking? You Must Check This Out!

In today’s technology-based world, digitization has become the focal point on which any industry revolves. People in the industry and consumers alike prefer the digital platform to conduct transactions due to their relative ease of access. In short, the industry as a whole is moving from the age of physical paper to the era of complete digitization, hence giving rise to digital consumerism.

Hence, it has become a compulsion that industries start to evolve in this digital field. The banking industry is no different in this regard. New-age banking is nothing but banking procedures becoming digital (referred to as digital banking). This has led to a rise in the introduction of newer digital services and wider diversification of existing services over digital platforms.

Why choose new-age banking as a career:

NMIMS PGDBM in New Age Banking and Finance ManagementIf you decide to start your career in new-age banking, you are bound to notice that banking has evolved to include multiple initiatives. The old systems of working in the industry are being revamped, and every skill that you bring to the table would be in demand.

One of the biggest advantages in this regard is working under MNCs, thus ensuring job safety, high salary packages, and off the roof benefits.

Apart from these monetary perks, you would also get to work in various roles and capacities, thereby making a wise decision from a long-term career perspective. Given the wide growth that the sector is experiencing, your progress will not be limited; you can achieve satisfying career progression, continuous learning opportunities, and community service goals all hand in hand—keeping aside the conventional fixed hours’ job that a banking job demands, you will be exposed to a great working atmosphere and work in other avenues even after retiring from the industry.

Opportunity areas new age banking offers:

New-age banking offers the best services in the areas of online lending, banking services, and Forex transactions. Today there are multiple opportunity areas in new-age banking, but the most key areas are personalized consumer banking division, IT systems and security, Commercial banking roles, Investment, and trust banking, fund management, accounting and administrative roles involving finance management, HR and PR resources, operation roles, and marketing roles in achieving new customers and advertising.

Skills required to be a digital banking professional:

NMIMS PGDBM in New Age Banking and Finance ManagementOrganizations prefer candidates who are really strong in finance management. Apart from this, other required skill sets like good communication skills, analytical thinking, problem-solving abilities, and expertise in financial management software are an added bonus.

On the academic front, you need at least a graduation degree, and an MBA is always recommended to further your career. Since some students of MBA are also working professionals, there are reputed institutions offering online MBA. You need to attend online and recorded classes and write online exams.

These distance learning classes are exclusively for working professionals. In MBA for working professionals, you get trained by renowned faculties offering industry-oriented specializations in finance, enabling workplace effectiveness. Other than an online MBA, you can also get into certification courses to understand Fintech, financial analysis, and get in-depth exposure to the new banking system.

Conclusion:

Every bank’s success always depends on the skills of its employees. Working in banking can be rewarding if you are ready to take on challenges every day. A career in digital banking is open to everyone if you are interested to learn and work.

Tableau: Accelerating Decision-making with the Power of Visual Analytics!

Tableau is one of the most frequently used data analytics tools. It is used for data visualization where the data is represented in a pictorial or graphical form. The raw data is converted into an understandable format by Tableau which can be further used for data analytics.

Firms use Tableau to understand the data and to use data analytics for empowering their business. Tableau helps in decision-making via forecasting, analytics, risk assessment, etc.

Let us see more about Tableau and how it helps in decision making & data visualization.

Importance of Visual Analytics

Visual analytics is the analytical reasoning of data via interactive visual interfaces which in this case is Tableau. Visual analytics helps in understanding the data better, finding outliers in the dataset, discovering insights, etc.

You can identify new opportunities for your business if you are visualizing your data via a good platform like Tableau. The benefits of using Tableau for visual analytics are as follows:

  • Tableau has excellent visualization capabilities and it helps in converting unstructured data into absolute logical results that are interactive. It is far better and powerful than its equivalent tools available in the market.Data Visualization
    The easy-to-use interface of Tableau provides data analysts to work faster and better. The drag-and-drop way of arranging unstructured data into diagrams and graphs makes it easier for beginners.Tableau is powerful and provides high performance of big data sets too. Beginners can easily complete Tableau training in less time and can get fluent in using it.
  • You can create a unified dashboard on Tableau where you can connect to multiple data sources. You can connect your dashboard with Hadoop, SAP, DB, etc., and can visualize data better.
  • There are a lot of Tableau users throughout the globe and one can find a helpful Tableau community on online forums. Tableau also provides a mobile application through which you can keep your visualized data at your fingertips.

How Tableau Accelerates Decision Making?

Tableau helps in visualizing and analyzing data. The structured data can be used for risk identification & management, increasing ROI, business forecasting, etc. You are well informed about your firm’s situation via data analytics and get to know about the upcoming market trends. You access the risk involved in any new opportunity via data analysis and then obtain it if is going to boost your business.

Tableau training in data visualization

Data analysis introduces clarity in your organization with a data-driven approach to obtain business objectives. Decision-making is hugely impacted via the use of data visualization tools and you will stay ahead of other firms in the market.

One can easily create and share analytics reports to your employees via Tableau, giving a sense of clarity. You can also use customer data to provide better services to them in the future. One can complete Tableau training online to understand how to use it.

Conclusion

Tableau is a powerful data visualization tool that can boost your business with better market predictions & risk assessment. Recent innovations in data analysis due to AI & machine learning have taken data analysis to a next level. You can learn more about data analysis via analytics courses available online. Start using Tableau for your business now!

Why Is Chartered Financial Analyst a Good Career Option?

In recent times, Chartered Finance Analyst (CFA) is a designation which is quite revered and regarded by most as a key certification for professionals in the areas of portfolio management and research.

The chartered financial analyst program is a certification from the CFA Institute. It is a globally regarded certification. It is essentially a self-study methodology, graduate level program for professionals who want to pursue a career in investment. A person coming out of any discipline or academics can pursue the CFA program.

Applications to the program are usually from students and undergraduates to an early professional who intent to get a boost to their career. Although it is important to note that just getting a certification will not guarantee the same.

Passing all the three exams of CFA in itself is a very daunting job when compared to the efforts and commitment of the time required as against other management programs like the MBA. In fact, there are many MBA pass outs and CA’s who join CFA to get into core investment banking jobs. CFA gives a great technical grounding and offers broad-based scopes suitable for investment banking, research analyst, equity research and portfolio management.

The CFA course focuses on ethics, portfolio management, accounting, corporate finance, fixed income and equity investments, so basically if one does not have a very specific choice but needs to build their career in the field of finance then they should opt for the CFA certification as it is broad-based, opening many career opportunities.

Passing a CFA exam shows that the person pursuing the same has the ability to show commitment, tenacity, comes across as a professional with resilience, and rigour. In addition to the learnings from the course, the charter holders are also considered internationally mobile as well due to their association with the global professional network.



Some of the most common jobs taken by the CFA professionals

Portfolio Management:
Since CFA focuses on essentially training you on portfolio management skills, this job becomes a no-brainer for most pass outs. Under this profile, you are responsible for making financial/investment-based decisions for people who have given the control of their money to you or to your company.

Research Analyst:
Here the profile is responsible for analysing the financial transactions and records of the firm for its clients. Here you need to prepare your observations and reports and primarily have an insight of what the client would want to know about the financial health of the organization in such a way that nothing essential is overlooked before making any strategic decisions.

There are many other nomenclatures for this role within the organization, such as investment analyst, rating analyst, financial analyst, equity analyst, to name a few.

Consultant:
Here the person needs to provide suggestions that will benefit the firm with professional advice. The CFA course covers corporate finance which will assist the professional to make alternative decisions and suggestions to the third party or the client satisfying their requirements.

Accountant/Auditor:
Here you are required to keep a track of all financial footprints and documents of the business or company that you are associated with.

Investment Banking Analyst:
Here a person needs to check all possible pit stops, analyse, evaluate, all possibilities before any investment is made. The person usually is responsible for directing and making the firm aware of mergers and acquisitions. The task can be efficiently performed by any CFA pass out as the course has a section on corporate investment, equity investment, economics and more which prepares them to handle such requirements.

These are just a few opportunities out of the many that you can take advantage of if you wish to pursue the CFA certification.

So to conclude, it is quite obvious that in recent times many organizations and individuals alike are getting highly interested in CFA. The fact that a CFA certification will benefit the organization and the individual in revenue growth and career growth, it is perhaps why most organizations are also considering sending employees usually from the start up a level for this certification as the long-term advantages cannot be ignored.

It is then true to say that the CFA designation does distinguish the charter holders from other counterparts in the eye of professionals and investors. As a successful CFA charter holder has already proved the test of time and their ability and intention of commitment to conducting their professional life according to high professional standards.

Importance of R Programming As a Tool in the Machine Learning Spaces

With the announcement that, Data Science is one of the sexiest careers of the 21st century and the subsequent success of e-commerce giants with the help of data analytics, the world has seen a rise in the demand for data scientists. These professionals who are also known as Data Analysts are responsible for extracting this data, mining it, analysing it and drawing insights so as to add value to the firms.

A lot of companies across different fields have been hiring these professionals due to their specific skill set and the ability to turn numbers into growth and success. These professionals usually work with one or many data analytics tools like, SAS Programming, R Programming, Hadoop and Python and so on. Of these, R Programming is one tool, which has recently seen a lot of popularity and increased number of users, due to the fact that it is open sourced and easily accessible.

All of these data analytics tools are used by the professionals, depending upon what kind of job they want to accomplish.
Data AnalyticsR Programming is most popular choice, when it comes to thoroughly understanding data, by using various graphs and statistical methods. This tool becomes especially important when it comes to machine learning spaces, mainly due to its several packages and advanced implementations, useful for the top machine learning algorithms, which every data scientist is familiar with. All of these packages help in different kind of functions and are highly sought after, because they can be downloaded free of cost. Being an open sourced platform, R Programming has a huge community of contributors, the world over, who regularly add technical updates, which can easily be added to your projects.
These packages that are a part of R Programming can perform various specific functions like, take care of the missing values, allow you to partition your data, classify and combine, and find out the hidden layers in your data and so on. This vastness and variety in packages, makes for R’s strongest suit. Furthermore it is able to offer rich functionality, for the developers so as to enable them to build their own tools and analysing methods. Being open sourced, has given R a lot of leverage over the other data analytics tools, as the users can very well extend it without the need for any permission. What increases R Programming’s importance in the space of machine learning, is the fact that any new research in the field of data science, has a compatible package of R with it.
CIRP- Certification in R ProgrammingR Programming since its inception in around the late 90’s, has only seen major growth; and now, it is being assimilated into various commercial fields such as Oracle, IBM, MATLABS and others. There is a long list of companies in the data analytics industry, which have already declared their adoption of the platform. Adding to its popularity, it has been declared as the most popular platform for any successful practicing Data Scientist. As its popularity increases, there are a lot of institutes offering certification courses in this data analytics tool. Imarticus Learning is a leading education institute, offering industry-endorsed courses in R Programming, in both classroom and online format.

How Do You Become A Machine Learning expert?

Machine learning is a powerful tool used to transform information into knowledge. Over the past few decades, the world has witnessed a surge in the data which is useless unless it is analyzed and used effectively. Machine Learning makes this easier. By training machines to analyze the data sets and their patterns and behaviors, data science helps create an environment super adaptable for the organizations that need help with data every single day.

There are several methods to master Machine Learning and Machine Learning Certification is one of them. Imarticus Learning offers Machine Learning and Deep Learning Prodegree. 

This course helps the learners in the following ways:

Learners Can Gain Job-Relevant Skills

Along with building skills in Machine Learning, Python, deep learning, and IBM Watson through 16 industry and in-class projects, candidates get an intense Capstone project.

Smooth Career Transition

Imarticus has witnessed more than 1400 successful career transitions among its learners. This was possible due to the career support module which comes within the program, enabling a smooth transition into ML and AI fields.

Receive Industry Certification

The machine learning certification awarded by Imarticus is endorsed by IBM, a global leader in providing solutions that are technology-driven.

Take Advantage of Online Physical Classrooms

The classes are Live. They come with facilitated instruction for best learning outcomes. The learners can learn while interacting with the instructors, while gaining a full-scale knowledge online.

The Emergence of Big Data In The Field of Agriculture

The recent couple of years have been witness to this huge amount of buzz created all over the IT world by the concept of ‘big data’, with it more often than not being related to in the print and electronic media. One of the most phenomenal discoveries was that all the data that has been rapidly generated was stored in the entirety of the past decade. For instance, it was in the year 2000 when 25% of the world’s information was being stored in the virtual format. Cut to the current year, more than 98% of information is stored in the digital format in our daily lives. Believe it or not, today, the entire world is generated more than 30,000 gigabytes of data that is almost being generated every second of every day. When you sit to carefully think about this, the change seems to be of almost astronomical proportions. This as it would, in the progression of all things IT, has led to the creation of huge data sets and in a way there has also been the whole issue, about how and where and especially in what manner would the data be stored.
More important than that is the question of what. The answer to what of this data, more specifically the answer to what exactly can be done about this data, lies within two words: Data Scientist. These are professionals who are basically given the responsibility of extracting value out of these huge data sets, thus in a way, assisting in making valuable decisions, for the growth and development of the companies. Today there is no field left that, has not been penetrated by the. The various fields that have been developed, in terms of their efficiency and their functioning, mostly due to the presence of big data are, health, IT, finance, oil and gas and many more.

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The newest addition to this ever increasing list, is the field of agriculture. The National Research Council, is of the opinion that something known as, precision agriculture can come into existence due to the introduction of big data. It basically refers to a management strategy, which will be making use of information technologies to collect data, from multiple sources in order to facilitate various quality decisions, when it comes to anything and everything related to crop production. While so far the system of precision agriculture and big data are a little different from each other, in terms of the technical aspects, there are chances of inculcating these two concepts in the near future.
Precision agriculture is still involved, with graphical representations of the field maps, wherein the main purpose is to just identify the areas which would be less nutrient deficient in order to sow seeds. As this concept already has a lot of generation of data in place, it surely will help with the process of data analytics, thus these two fields being complementary. This promises a lot of development in terms of job opportunities for all those great Data Scientists out there.
If you are planning to earn career in data science, then Imarticus Learning offer various business and data analytics courses in both online and classroom mode.

What are the Qualifications Required to Become Investment Bankers?

A hot-shot career, a high-profile job with an equally attractive pay-check, investment banking happens to be among the most sought-after careers for college and MBA students in finance and business, alike. The job of an investment banker, as glamourous as it may sound, entails great responsibilities and challenges combined with abundant learning, along with the promises of a fancy Swiss vacation it brings with itself! However, before you set foot in that door, do you have what it takes to be hired by topnotch investment banking firms?

Investment bankers come from a wide range of backgrounds but your strength must lie in mathematics; a bachelor’s degree in accounting, finance as well as physics or computer science also helps. However, simply holding a degree alone cannot do much wonders to your career in investment banking. Here are some of the qualifications that will help you take a step in the direction of pursuing investment banking as a career:

● A degree in finance preferably from any of the top-tier B schools- Big names like IIM- A/B/C or ISB have a good impact on the recruiter. In fact, global companies visit these campuses to recruit young professionals directly for internships or even at entry-level trainee investment banker jobs.
● CFA qualification- A Chartered Financial Analyst is a highly esteemed investment banking course and has a global accreditation in around 150 countries around the world. It helps in portfolio management as well as equity research.
● Knowledge in financial modelling- It is advisable to pair your post graduate or PG-diploma programme with financial modelling. Not only does it give you an additional edge as compared to other students or young professionals but also, amps up your overall knowledge in the field of business from an investment banker’s perspective. Additionally, knowing how to chart financial models on spreadsheets in definitely going to have a positive impact on the recruiter.
● An investment banking internship- A hands-on experience will definitely stand out on your resume while you are looking for opportunities to start your investment banking career. By taking on multiple, or at least one internship while in college, you not only gain exposure to the multi-faceted industry but also be able to decide which aspect of investment banking actually draws you the most.
● Developed knowledge on the segmented financial industry- As you move up the ladder, from an educational background to the onset of your career, a clear understanding of how the financial industry works will benefit you in multiple ways. Read up on emerging trends in the finance sector, research on highs and lows of the industry and keep-up-to-date by reading more trade journals that are likely to keep you informed about past and present market patterns.
● Have a solid resume or cover letter- Use the right phrases and sentences to present your accomplishments and goals in the right manner to the recruiter. Your resume and/or cover letter should be aesthetically pleasing as well, highlight the most important areas of your qualifications or experience.
● Relevant case experience- This is probably something that no investment banking course will teach you. Case experience means having worked on an assignment that would be relevant or in along the same lines of your banking job. The recruiter may actually test your practical knowledge to see if you are a fit candidate for the job or not.
● Participation in extracurricular activities- A campus club membership, some experience in a leadership position in college or anything that adds value to your personal portfolio often adds value to the job you are applying for, as well as adds to your recruiter’s interest. This may also include taking up online courses, running student organisations or even reading for pleasure.
Last but not the least, getting recruited by investment bankers also depends on your networking skills ad that final round of interview. Be confident, use the correct jargon to questions asked, and do not shy away from admitting what you do not know yet. Let’s face it, a little ignorance but a lot of honesty and integrity might actually land you that dream job in your dream investment banking firm. With the aforementioned qualifications and these tips, you are sure to find an opportunity thats been waiting for you, right around the corner.

Also Read: Career & Scope in Investment Banking

What is the best way to learn Artificial Intelligence for a beginner?

What is the best way to learn Artificial Intelligence for a beginner?

Over the past few years, the field of Artificial intelligence has displayed tremendous amounts of growth. AI is now driving businesses of billions of dollars across various industries and enabling enormous career opportunities.

If you have plans to learn artificial intelligence, it is the perfect time to start acting on it. This article discusses the best way to master AI for beginners.

1. Begin with the Basics

The first thing you have to do is unlearn everything about the AI. Clear all the preconceived notions and make your mind open and fresh for learning. Now you can actually start learning.

Start with the basics. Learn about the various technologies involved and their objectives. It will help you get oriented at the beginner level. You can refer books or blogs to get through this step.

2. The podcasts and Videos
The next step is listening to podcasts and videos. It will give you more comprehension about the industry, application of different technologies, the effect of them in our real life, various techniques in them and many more.

Often these videos and podcasts come with jargons and concepts involved. So, it is important to have a fair amount of familiarity with the basics.

3. Guided Courses
A dedicated artificial intelligence course is one of the most important practical ways of mastering AI. A guided course will take you fully into the world of Artificial Intelligence. You will get global exposure to the skills required. Usually, such a course will brush up on the basics you have already taken care of and then help you develop the right technical skills required to work with AI.

If you are planning to join the industry, such a course is inevitable. A guided course will also put you in touch with experts of this technology and excellent study materials. So, it is important to attend a guided course for a complete learning experience. Along with that, you will get a certification proving your excellence in AI at the end of these courses. It will help you during the search for a job.

4. Projects
The best way to learn anything is to practice it properly. So, it is essential to indulge in lots of projects and gain practical exposure. You will be doing capstone projects during your course. From those projects to the projects you are personally interested in, you have to constantly work and build your portfolio. By doing this you will be able to master this skill in a very short time.

For a beginner with very low prior experience with AI, these are the little steps that make sense. Also, through this, you will be able to find some time to process the transition between each step and prepare for the next one. Within just a year, this road map will equip you with AI capabilities that are good enough to be a part of the industry. So, start your process as soon as possible and take part in the AI revolution going all around the world.