Machine learning and artificial intelligence are often used interchangeably. These are the current hot topics and the buzzwords of the technology industry. More than impacting our daily lives, AI and ML have largely impacted the business world. Both artificial intelligence and machine learning fall under the bigger world of data science. Data science deals with processes or systems used to extract knowledge from large amounts of data. Transiting from being just research topics, AI and ML are moving into the early stages of enterprise adoption. With technology giants like Facebook and Google, placing huge bets on AI and ML by already incorporating it into their products, AI and ML are certainly here to stay.
What is artificial intelligence?
Artificial intelligence deals with using computers to understand human intelligence, and it is the science and engineering of making intelligent machines, especially intelligent computer programs. It refers to adding human capabilities into machines. AI initiates problem-solving, common sense, and analytical reasoning power in machines. Put simply, AI involves making computer programs which imitate human behavior.
What is machine learning?
While some may think that both AI and ML are the same, machine learning is the subset of artificial intelligence. This refers to machines being able to learn by themselves without being explicitly programmed. It is an application of AI which enables systems to learn and improve from experience automatically. While working with machine learning, various sets of algorithms are required. These algorithms use a set of training data to enable computers to learn.
Educational qualifications required to excel in AI and machine learning?
- Bachelor’s degree in computer science, physical sciences, social sciences, and statistics.
- Master’s degree or PhD in mathematics, astrophysics, or data science.
Importance of AI and machine learning for business
- It empowers management and officers to make better decisions.
- It helps in defining goals.
- It helps to adopt the best practices and makes businesses understand why it matters.
- It aids in identifying opportunities.
- Helps in decision making with data-driven evidence.
- Helps test these decisions.
- Helps in recruiting the right talent for the organization.
Getting certified in AI and machine learning
The perfect reasons for getting certified in machine learning and artificial intelligence are gaining a stamp of credibility, gaining updated knowledge of the industry’s latest trends, designating your level of passion and self-motivation, becoming eligible to work across various industries and domains, and the opportunity to land a lucrative career, given the fact that there is an acute lack of skill set which is hindering the digital transformation of enterprises across the globe. Holding an online certification from a renowned platform will help you hone your skills and apply the concepts learned towards solving real-world problems.
There are umpteen number of online certifications available for becoming certified in the fields of artificial intelligence and machine learning, which provide you with the ultimate comfort of learning from within the confines of your home at your own pace. But it is always important to choose the best.
Speaking of the best, Global Tech Council offers the most prestigious certifications in the field of data science.
Quality is one factor to which Global Tech Council gives utmost importance. It is this determination to deliver superior quality, which has transformed Global Tech into a world leader of technical certifications. These certifications are accepted across the globe. They offer certifications in Artificial Intelligence (AI), Cyber Security, Internet of Things (IoT), Big Data, augmented reality, machine learning, virtual reality, and much more. The training sessions provided by Global Tech Council are carefully designed to impart in-depth, hands-on knowledge. These certifications offer comprehensive modules which have been curated by like-minded data science experts.
Acknowledged experts in Big Data have designed the Certified Big Data Expert certification offered by Global Tech Council. It provides comprehensive hands-on knowledge about Big Data Analytics. It is an exam-based online certification which is self-paced and offers lifetime access to course content. It covers aspects such as the evolution of data, sources of big data, types of data, big data use cases, and features and architecture of HADOOP and HDFS, execution framework of Apache MapReduce, Apache Spark, Apache Pig, and Hive.
Enrolling in such a certification will provide you with the perfect competitive advantage over others, thereby making you industry-ready.
Growth curve for AI and machine learning professionals
Some of the lucrative job positions for AI and ML in the current job market are:
- Machine learning/ artificial intelligence developer
- General Manager- Operations- AI and ML
- Program Executive (Technical support)
- Automation Solution Architect
- Junior Data Scientist
- Business Analyst
- Lead artificial intelligence scientist
- Learning technologies partner
Conclusion
In today’s growing world of big data, having an effective data science strategy will help enterprises make informed business decisions. Data scientists are increasingly becoming an integral part of an organization and our economy. Data science, is undoubted, the future of the world today, and they will have far-reaching impacts across countries and will help address major global challenges.