from AI Trends https://ift.tt/3bnrv0R Allison Proffitt https://ift.tt/3hZq76Z
By AI Trends Staff
Whether you are just starting out in the workforce or are in the early- to mid-career stage, you are likely to ask yourself the question at some point, what’s the best way to learn AI?
Glassdoor at the end of August had over 53,000 job postings that mention machine learning, and 20,000 jobs that include data science at salaries ranging from $50,000 to over $180,000, according to a recent account in TechRepublic.
One idea is to win a seat in a new residency program in AI and Machine Learning offered by Apple Computer, announced in a report this week from Cnbctv18.com. While the number of seats may be few and the level of expertise required quite a bit beyond early stage, it’s certainly a proven employer.
The year-long program is seeking applicants with STEM (science, technology, engineering and mathematics) graduate degrees or equivalent industry experience, software development backgrounds, and niche expertise — like design, linguistics, neuroscience, or psychology.
For the much less experienced, these are hints as to very desired skill sets in AI. Apple is seen as seeking to bolster its presence in areas like speech recognition, analyzing images and parsing natural language text, incorporated in software products such as Siri.
Learning the vocabulary of AI might be a good step toward selecting how you want to focus.
The A to Z of AI from Google and Oxford Internet Institute is an entry-level guide to the basics of artificial intelligence designed to help anyone get their bearings with a complex topic. The overview calls AI “one of the most complicated areas of computer science,” and while plenty of information is available about AI “it’s not always easy to distinguish fact from fiction.”
Some Options for Online Learning of AI
AI jobs are central to new product development and future revenue opportunities, according to the recent account in TechRepublic, which listed what it considers to be the best online courses for data science, including some offering certifications that can boost resumes.
Many big tech companies and independent tech organizations are offering training programs for people new to data science and professionals who want to learn the newest technology. Here is a selection of recommended programs:
IBM Data Science Professional Certificate
IBM offers this program on Coursera, which is taught by company employees. Students in this course will take a series of hands-on labs in the IBM cloud that provide experience with Jupyter/JupyterLab, GitHub, R Studio, and Watson Studio.
This online program takes about 10 months to complete and has nine courses:
What is data science
Tools for data science
Data science methodology
Python for data science and AI
Databases and SQL for data science
Data analysis with Python
Data visualization with Python
Machine learning with Python
Applied data science capstone
Professional Machine Learning Engineer from Google
If you can pass this exam that is in beta, you are Google Cloud Certified. Google recommends that test takers have at least three years of hands-on experience with Google Cloud products and solutions.
ML solution monitoring, optimization, and maintenance
Certified Analytics Professional certification
This vendor-neutral program is for analytics practitioners in the early to mid-stage of their careers. Applicants need a bachelor’s degree and five years of professional experience or a master’s degree with three years of work experience. All candidates for the exam sign an ethics code and must submit a reference from an employer to confirm soft skills.
The exam is based on the Job Task Analysis and covers seven areas:
Business problem framing
Analytics problem framing
There are 100 multiple-choice questions on the exam. The base price for the CAP certification is $695 or $495 for members of the Institute for Operations Research and the Management Sciences (INFORMS). INFORMS offers a prep class for the exam.
The data curation program is designed for people who want to quantify their experience with SAS data management tools and applications as well as other tools to prepare data for statistical analysis. The program includes four training courses and one certification exam voucher, including:
Introduction to data curation
SAS data management tools and applications
SAS and Hadoop
Advanced SAS data management tools and applications
Before signing up for this course, individuals should have experience with SAS programming basics, data manipulation techniques, and SQL processing. SAS offers exam prep classes in the Data Curation Professional program.
The advanced analytics professional program includes nine online courses, 12 months of access to the training, 100 hours of access to cloud software, and three exam vouchers. The courses include:
Applied analytics using SAS Enterprise Miner
Neural network modeling
Predictive modeling using logistic regression
Data mining techniques
Open source models
Text analytics using SAS Text Miner
Time series modeling essentials
Experimentation in data science
Optimization concepts for data science
SAS recommends that students have at least six months of programming experience and in using statistics in a business environment.
The AI and machine learning professional program includes five online courses, 70 hours of access to cloud software, and three exam vouchers. SAS recommends people interested in this program have experience with programming, SAS Viya, regression models, and neural network models. The courses are:
SAS certification exams can be taken from home via OnVUE online proctored exams.
A Two-Step Process to Learn AI for Beginners
For beginners, one company has recommended a two-step process for learning AI. Step one is to examine e-books, such as “Artificial Intelligence: A Modern Approach,” a best-selling guide by AI experts Stuart Russell and Peter Norvig.
The suggestions come from Jigsaw Academy, which offers online courses of its own, including the Full Stack Machine Learning and AI Program, a three-month program that includes capstone projects, case studies and industry-relevant certification. The company also offers Data Science with Python, where students build and implement popular Predictive Analytics algorithms, including Regression and Forecasting, and classification and segmentation ML algorithms like K Means and Random Forest using Python. This course is suited for beginners with an inclination toward Data Science.
The constantly-evolving AI education field is certain to continue to offer options for interested students or career professionals.