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Category: Analytics

Create a Facebook Bot using NLP

Posted on by Imarticus Learning

Chatbot, the computer program made using artificial intelligence, mimics human conversation and can reply automatically to queries. The key player inside this program is Natural Language Processing (NLP) which helps with the ‘translation’ of the human queries into a form that the machine can understand. 

It involves data analysis and giving the right input to make the machine capable of doing what it is expected to. When you have the resources, it is now easier to build a bot with the right NLP tools and platforms.

When do you need a Facebook bot?

The Facebook bot is used for the FB pages to improve customer service, to make communication easier for the transactions in e-commerce, etc. It is a way of optimizing the overall customer satisfaction and taking the business forward. 

Facebook has its own user interface called Wit.ai that helps with the creation of intents, agents, and entities. It is completely free, comes with a manual, and integrates well with NLP. Most importantly, it works well with Python, Nodje.js, and Ruby. For those who are familiar with the codes and are willing to spend some time, a Facebook bot building is possible for anyone. 

How to create a Facebook bot?

  • Create a Facebook account and have a page dedicated to your business or brand.
  • Connect the business account or the page with the Bot builder of Facebook. 
  • After going through the manual carefully, start by creating a welcoming reply which will be the default for all customers. 
  • Now comes the most important conversation structure that helps with the navigation of the conversations. It includes pictures, URLs, audio, video, or any kind of media, etc., depending upon the expectations from this chatbot.
  • Once the structure is done, provide the necessary inputs for the dialogues while making sure that they are brief, clear, and relevant. 
  • The next step is creating the ‘brain’ or AI that works with the structure to perform specific tasks according to the commands recognized and received.  
  • Test the new bot for any errors and malfunctions. Go through every aspect and structure of the bot. 
  • The final step is to launch the chatbot by providing the link to your Facebook page. 

Is it as easy as it looks?

In simple terms, yes, it is as easy as it sounds. But the catch here is to have someone who knows about the technology and is familiar with data analysis and machine learning. Those who have completed courses such as the Post Graduate Program in Data Analytics will be a good contender for this task. 

The reason is, the Facebook UI has a steeper learning curve and can take some time to complete. The UI does not offer any visual aspect for the whole programming. So it needs some coding to do and a few other technical nuances to ace the process. So a professional, experienced or a beginner would be requisite. When all these necessities are fulfilled, then yes, creating a Facebook bot will be easy. 

Conclusion

Regardless of the difficulty level of creating one, the Facebook bot has become one of the most efficient ways of connecting with customers. There are several other platforms such as Dialogflow to help with this creation. If you are interested in building such fascinating tools and technologies do enroll in the data analytics course.

The best Data Analytics course with placement will give you the necessary boost to help you land the job, as early as possible. 

Supply Chain Planning: Blockchain to the rescue

Posted on by Imarticus Learning

New technologies are showing optimistic prospects for advancement across the supply chain planning. Blockchain can improve supply chain traceability and transparency while reducing administrative expenses. Corporates are realizing that blockchain-driven innovations in the supply chain, have the potential to offer immense business value as they reduce risk, increase transparency, and improve the efficiency of the overall supply chain management. 

With the increasing popularity of blockchain, startups, as well as large-scale corporations, are experimenting with this technology in different sectors apart from financial services. Imarticus Learning has come up with a Supply Chain Analytics course that will help young professionals to build a supply chain management career and learn about the operations and supply chain industry from the industry leaders and the experienced faculties of DoMS and E-learning Centre, IIT Roorkee. This article will give you a cursory understanding of blockchain and its benefits in supply chain planning. 

What is blockchain?

Blockchain is a kind of shared database, but it is fundamentally different from a typical database in its method of storing information. While a traditional database usually reserves its data into tables, blockchains store data in blocks and connect them via cryptography. It enters fresh data into a new block and chains it onto the previous block after it gets filled. As a result, the data gets linked together in chronological order with blockchain technology.

You can use blockchain to store various types of information, but its primary use has been a ledger for financial transactions till now. The most famous example of this is Bitcoin, where blockchain has been used in a decentralized manner. As a result, all users collectively keep control instead of any individual or particular group retaining control over it. Also, decentralized blockchains are inflexible, and hence the data entered cannot be reversed in any way. This is why all transactions in Bitcoin are perpetually recorded and can be viewed by everyone. 

Benefits of using blockchain in supply chain planning

Companies can use blockchain to effectively manage the supply chain by recording relevant information, such as time, date, price, quality, location, etc. The availability of these details within the blockchain has the potential to lower losses from the counterfeit and grey market, improve compliance over outsourced contract manufacturing and visibility, increase traceability of the material supply chain, and enhance the user’s prowess in responsible manufacturing.

Some of the main benefits of using blockchain in supply chain planning are:

  • Manage an international business spread across multiple countries
  • Track the day to day working of third-party agents
  • Follow the mechanics of the supply chain through its several stages
  • Execute supply chain contracts by self
  • Organize and enforce any form of agreement
  • Run the regulation of cold chain management without the help of any third party 
  • Ensure the whole process is more secure and transparent
  • Solve auditing problem and information sprawl
  • Track whether there is mishandling or damage to any product
  • Solve customer dissatisfaction swiftly in an organized manner

Conclusion

Multiple corporations are already experimenting with blockchain innovations to accomplish their needs. Monegraph utilizes blockchain to secure the usage and sharing privileges of digital media and to share revenue with distributors, publishers, and media creators. Provenance has recently conducted a six-month pilot using blockchain to track responsible sourcing of tuna in Indonesia.

Skuchain constructs blockchain-based B2B trade and supply chain finance products that target the $18 trillion global trade finance market involving banks, buyers, logistics providers, customs, sellers, and other relevant third parties. Imarticus Learning’s Supply chain management course will help you build a career in this prospective and lucrative field. 

Bring ideas to life, drive economic growth and expand human welfare with AI courses

Posted on by Imarticus Learning

AI courses are a great way to bring your ideas to life and expand human welfare. With AI, you can create new products or services that improve the quality of people’s lives. You can also use AI to automate processes and tasks that used to be done by humans.

It can help businesses save money and increase efficiency. In addition, AI can help researchers solve complex problems and discover new cures for diseases. By taking an AI course, you will have the skills needed to make a difference in the world! 

What is AI, and how will it change the world economy?

The future of AI is so bright we have to wear shades. That’s because the impact of artificial intelligence on economic growth promises to be enormous and far-reaching. The Mckinsey & Company reports that “by 2030, AI could deliver an additional global output of around $13 trillion – or about 16% higher cumulative GDP compared to today.”

That’s a pretty staggering number, and it underscores the importance of getting up to speed on AI for personal and professional reasons. And that’s where our new AI courses come in! They cover all aspects of AI, from its history and development to the latest applications. 

How can AI courses help people learn new skills and advance their careers?

AI can increase business efficiency by automating menial tasks and improving decision-making. By taking AI courses, businesses can learn how to use these tools to improve their productivity. In addition, as artificial intelligence becomes more widespread, employees who are familiar with its workings will be in high demand.

By teaching them how to use AI in everyday activities, AI courses can also help people improve their lives. For example, an AI course may teach students how to identify and correct errors when they see them or create a chatbot that can intelligently respond to questions.

The benefits of artificial intelligence for human welfare

Artificial intelligence is a new technology that many industries have adopted to increase efficiency and creativity. For example, AI can help us make better financial decisions, improve our health and safety at work, predict the future of weather on Earth, or even what we should do in case of an emergency. Many studies have been done on AI to determine how it can benefit different areas of our lives. 

Discover AI Certification with Imarticus Learning

This Artificial Intelligence certification will provide students with a solid foundation in the practical applications of data science by teaching them how to apply their knowledge to solve real-world issues.

best artificial intelligence courses by E&ICT Academy, IIT GuwahatiThis program is for recent graduates and early-career professionals interested in advancing their careers in Data Science and Analytics, the most in-demand job skill.

Course Benefits for Learners:

  • Participate in 25 in-class real-world projects and case studies from corporate partners to gain machine learning capabilities.
  • This IIT AIML course will teach students the principles of data analytics and machine learning and expose them to several prominent tools used by professionals today.
  • Impress employers and demonstrate talents with an AIML course recognized by India’s most prestigious academic collaborations.

6 beginner-friendly steps to learn machine learning with Python

Posted on by Imarticus Learning

Programing languages are vital for computer programming, and Python is one such language, but it is a scripting language that is high-level, interactive, easy to interpret, and object-oriented. This language has a built-in data structure that is high level, and it is combined with dynamic typing to make it worthwhile for Rapid Application Development.

Phyton encourages modularity and code as it supports modulus and packages, and today many networking websites are written in Python. You can learn Python online through the PGA program at Imarticus.

Some of the features of Python are:

  • Simple structure and easy to learn
  • It is a beginner’s language
  • Readily available and at zero cost on the official website
  • Easily integrated, interpreted, and object-oriented
  • Portable and can run on different platforms
  • You can develop a graphical users interface using Python

Steps To Learn Machine Learning With Python

In the PGA program at Imarticus, we teach specific basic steps to learn machine learning through Python:

  • The first step is learning Python because you have to know Python basics to implement machine language.
  • To understand machine learning and its algorithm, you should know the basis of specific mathematical topics such as probability, linear algebra, calculus, statistics, and matrix.
  • The third step is to learn the concepts of the machine learning algorithm.
  • In the fourth step, acquire knowledge about data science tools.
  • Become familiar with Python tools such as pandas, Numpy and Matplotlib.
  • Gain deep learning skills and build your machine learning model.

Machine Learning Course With Placement

Machine learning focuses on data and algorithms to imitate the way humans learn. It relates to artificial intelligence and computer science. Machine learning is a crucial part of the rapidly expanding discipline of data science.

Algorithms are trained to generate classifications or predictions using statistical approaches, revealing vital insights in data mining initiatives. These insights drive decision-making within applications and enterprises, intending to influence significant growth KPIs.

Labeled datasets or supervised learning give insight into “deep” machine learning algorithms, but these insights are not always needed. It consumes unstructured data in its raw form and determines the group of features that separates one category of data from another automatically.

The PGA program at Imarticus also helps to understand the difference between various data inputs.

Post Graduate Program in Data Analytics

What is Data Analytics? It is the science of studying raw data, and numerous data analytics approaches and processes have been mechanized into mechanical techniques and algorithms that deal with raw data intended for human consumption.

Data analytics is a broad word that refers to a wide range of data analysis techniques. You can apply Data analytics techniques to any data to obtain insights utilized to improve things. Trends and indicators that might otherwise be lost in a sea of data can be revealed using data analytics techniques. This data can then improve procedures and boost a company’s or system’s overall efficiency.

Further, a few of the elements of the data analytics process can aid a range of endeavors. A good data analytics program will present a clear picture of where you are, where you have been, and where you should go by merging these components.

2021 in review: Principles of successful supply chain planning

Posted on by Imarticus Learning

2021 in Review: Principles of Successful Supply Chain Planning

The supply chain is one of the most important aspects of any business. Keeping up with the market’s ever-changing demands is quite challenging, but you can stay ahead of the competition with the correct planning principles. 

This blog post will examine the essential principles of successful supply chain planning and discuss how they can help your business succeed in 2022 and beyond!

What are the principles of supply chain planning?

The key to supply chain planning is having a solid knowledge base about your industry and its needs. It includes understanding how products move through different stages from production to consumption, what consumers want or need to purchase goods, and where they will sell those products. 

With this information, you can create strategies to help your business achieve its goals while meeting customer demands regarding quality and cost-effectiveness.

The principles of supply chain planning include:

  • Forecasting – This helps estimate the demand for a product over time based on historical data or current trends within an industry. Forecasts indicate future demand levels and help businesses plan their operations accordingly.
  • Resource Analysis- This determines the resources necessary for production processes and other supply chain-related activities. These may include raw materials, labor costs, or even labor hours per employee per day.
  • Production Planning – This creates a production schedule that meets customer demand while efficiently utilizing resources. It also includes setting up processes and protocols for quality control.
  • Distribution and Transportation Planning – This determines how you will transport products to meet consumer demand, taking into factors such as delivery time, distance, and the availability of resources. It also includes creating a distribution network that will optimize efficiency.

 

  • Inventory Management – This ensures that the correct inventory level gets maintained without tying up excessive capital in stock. It can also help reduce the cost of merchandise while maximizing customer satisfaction.

 How to apply these principles in your own business?

There are many ways to apply these principles to your own business. For example, by using data from previous years and looking at current trends, companies can make better decisions about future demand for their products or services. By understanding resource availability, businesses can plan production schedules accordingly to avoid running out of stock before consumers need it.

Additionally, by using inventory management techniques, companies can ensure that they are not overstocking or understocking products and lose out on potential sales.

Supply chain principles are essential for any business looking to succeed in the ever-changing marketplace. 

Explore Supply Chain Management Course with Imarticus Learning

This Professional Certification in Supply Chain Management and Analytics equips candidates interested in entering the operations or supply chain analytics course with cutting-edge experience. This supply chain analytics course will prepare students for jobs such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner, which are in great demand.

 

Course Benefits For Learners:

  • We immerse students in in-demand technologies and projects, including six real-world projects that will give them a complete grasp of the industry to prepare them for a satisfying future in Supply Chain Management and Analytics.
  • Students who complete a supply chain management online course will prepare for competitive careers such as Demand Planner or Data Scientist, which are in great demand among companies today!
  • This supply chain management and analytics training course will help students become more data-centric and improve Supply Chain decision-making by harnessing the power of Python.

Contact us through chat support, or drive to one of our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

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.

Types of projects to do in a Machine learning course

Posted on by Imarticus Learning

Machine learning, as the name suggests, revolves around technology. It is a set of programs designed by the coders to analyze the data. It is an algorithm where we put the data as input to get predictions. 

AIML is the future and today we are dependent on it for our day-to-day activities. Have you ever thought about how you can track the exact location and date of your online order? Or how does Google voice assistant answer your every query? It is possible through a machine learning program. Siri and Alexa are some examples of machine learning.

Machine Learning Course at Imarticus

As machine learning becomes increasingly prevalent, an increasing number of people are pursuing employment in machine learning analytics. At Imarticus, we recognize the need of this era, and therefore, we have designed post-graduation in machine learning whereby you will learn the real-world application of data science. We also teach you to prepare models to generate insight and make predictions.

Our data analytics course is known for job interviews and placement chances. We teach you Python, SQL, data analytics, machine learning, and data visualization with Tableau. We provide our students with focused sessions with hands-on exercises for easy and effective learning. Our classroom exercises, real-world projects, and case studies help our students in their careers.

Machine Learning Projects

The AIML projects make you familiar with the real-world workflow. They help you to decipher your area of interest and let you focus on the specific career path. 

Here is the list of top 5 projects which at Imarticus, we give to our students:

  1. Loan prediction– Nowadays, many lending and banking apps require a loan eligibility model. For this project, you will need certain financial data such as earning and spending trends. You will learn how to train your model to understand patterns and forecast loan eligibility after receiving new information.
  2. Sentiment Analysis– This project is for those who have a talent for writing. You will categorize or group texts into positive or negative impressions. You will start with text mining to investigate the patterns of the texts in question and then proceed to determine the major characteristics throughout your dataset. This project will introduce you to the fundamentals of text manipulation and how spam detection works.
  1. Logistic Regression Model– It is a simple classification model, ideal for beginners. . It calculates the likelihood of discrete occurrences. You will start with a database that has discreet values like, “Yes” and “No,” or “Good” and “Bad”. If you wish to forecast more than two outcomes, you can look at multinomial logistic regression.
  2. Image Recognition– This project is for facial recognition and fake image detection technologies. For this, you require a basic understanding of Artificial Neural Networks (ANN). This project may appear difficult but it is an easy one. It will give you a good knowledge of deep learning ideas.
  3. Classification and Prediction of Cancer-This project will teach you to apply your machine learning knowledge to medical fields. You can create a model to classify new cancer cases into appropriate surgery categories. You may also create a model to detect cancer.

At Imarticus, we teach our students to become successful data analysts. We want them to excel in their career and desire a successful life for them.

Different types of supply chain analytics

Posted on by Imarticus Learning

Large-scale corporations use the method of supply chain analytics to acquire deep insights and extract value from extensive quantities of data concerned with the processing, distribution, and procurement of goods.

Though it has existed as a discipline for over a century now, the data infrastructure, mathematical models, and applications have evolved remarkably over time. Accomplishing end-to-end supply chain analytics demands putting information together across the procurement of raw materials and extends through production, distribution, and aftermarket services. 

To cater to the growing demand in this field, Imarticus Learning has come up with Professional Certification in Supply Chain Management and Analytics. This Supply Chain Management course with Analytics furnishes candidates with a chance to work on 6 real-world projects and learn from the best faculty.

This article will give you an elementary understanding of different types of uncertainties managed in the supply chain and walk you through the various aspects of supply chain analytics. A supply chain analytics course training can give you an in-depth knowledge of this field.

Understanding supply chain analytics

Corporations need to analyze the deluge of information they gather from numerous applications affiliated with their supply chain. These include data from inventory, order warehouse management, procurement, transportation, and shipping costs.

The whole system of the supply chain acts like dominoes, with each step directly dependent on the other. Any problems at any step of the entire process can impact the overall result and hamper customer expectations. Supply chain analytics help you to analyze the data and ensure a smooth running of the total operation. 

Different types of supply chain analytics

There are mainly 3 types of supply chain analytics that will help you to in managing your business better:

  • Descriptive Analytics: These help you keep track of your daily operations and the changes required monthly.
  • Predictive Analytics: These provide you with an early warning so that you can gear up production, staffing, and procurement to fulfill the increase in demand.
  • Prescriptive Analytics: They provide suggestions so that you can maximize your inventory system performance and serve as the best posture for your entire inventory policy.

Best practices in supply chain analytics

If you are in the position of managing the supply chain of your trade firm, then these supply chain analytics practices will help you to optimize your decisions: 

  • Help you maintain your inventory history for accurate forecasts
  • Use the Product Life Cycle (PLC) to adapt your forecast
  • Use analytics to plan your shelf space and increase sales
  • Organize your prime hours with overlapping shifts
  • Help you identify the possibility of Full Truck Load (FTL) given various frequencies of replenishment

Key deliverables of supply chain analytics

Some of the key deliverables of supply chain analytics to boost your business are:

  • Reduce inventory and release cash 
  • Improve fill rates and deliver growth 
  • Eliminate wastages and improve margins 
  • Improve forecast accuracy 
  • Improve service levels 
  • Reduce cost to serve

Supply chain analytics compliance requirements

With your business expanding and integrating more and more technology suppliers, you will have to blend supplier compliance management into your all-around compliance agenda. Quality management systems (QMS) record the methods, strategies, and obligations for quality and control objectives.

They also include the management of vendor relationships. Try to concentrate on the most business-critical vendors first to uphold business continuity and protect your customers.

Some major supply chain analytics compliance requirements are: 

  • Define your control requirements in all Service Level Agreements (SLAs)
  • Try to set key performance indicators for monitoring your suppliers
  • Establish communications by moving to a shared digital portal

Conclusion

The field of supply chain management is an evolving one and promises a lot of scopes to grow and prosper. Take the Supply Chain Management course with Analytics by Imarticus Learning and become a supply chain analyst for a career of great promises, prosperity, and growth. 

A supply chain analytics certification with IIT, Roorkee can help students get into top positions in this field.

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

Posted on by Imarticus Learning

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.