24 Week ai/ml bootcamp

Since artificial intelligence is an increasingly widespread and growing form of technology, professionals who specialize in AI are needed now more than ever. The good news is that the AI professional field is full of different career opportunities, which means you can take on different roles and responsibilities depending upon the position, your experience and your interests.

The need for skilled AI professionals spans nearly every industry, including:

• Financial services
• Healthcare
• Technology
• Media
• Marketing
• Government and military
• National security
• IoT-enabled systems
• Agriculture
• Gaming
• Retail

• If you’re looking to enter the professional world of AI, it’s important to make sure you have the right skills, which will set you apart from other candidates and help you land the perfect position. First, competencies with calculus and linear algebra are extremely important. 

Also, if you’re interested in AI, you should have some knowledge and experience in at least one of the following programming languages (Python is the best all-around option for AI development. ):

• Python 
• R
• C/C++
• Java
• JavaScript
• Scala

According to ZipRecruiter, these are the top 5 skills required for AI jobs:

• Communication skills
• Knowledge and experience with Python specifically (in general, proficiency in programming language)
• Digital marketing goals and strategies
• Collaborating effectively with others
• Analytical skills

Following is a list of Artificial Intelligence Tools most used in AI jobs and most mentioned on job posts:

• Scikit Learn
• TensorFlow
• PyTorch
• Keras
• Hugging Face
• Spacy
• Pandas
• MLOps
• Sagemaker

If you aren’t already in the industry, the first step is to conduct research, which includes talking to current AI professionals and researching reputable colleges and Bootcamps. Hiring managers will typically require you to hold at least a bachelor’s degree (in many cases, a bachelor’s degree will only qualify you for entry-level positions, however experience is king).

Undergraduate degrees in computer science or engineering are a good starting point, but not needed. Typical candidates will hold a master’s degree or above however hiring managers working in real world business scenarios prefer candidates with experience building models and leading projects and find those with advanced degrees to have too academic a mindset. Attending a Bootcamp can provide firsthand experience and knowledge from industry experts that can help you secure a position and set you apart from other candidates.

AI is still a relatively emerging area, colleges and universities still differ in how specialized a degree you may be able to get. A degree in computer science is a good places to begin, but many traditional educational institutions are not teaching the more upp to date tools and techniques that bootcamps may offer. Colleges and universities are only now recognizing the demand for AI Education. There are a number of new undergraduate and graduate programs popping up every day that are designed to prepare someone specifically to work in AI.

Those interested in pursuing a career in artificial intelligence should have a strong foundation of knowledge and experience consisting of a combination of math, science, computer and data proficiency.

The job outlook for AI professionals is extremely promising, with ZipRecruiter predicting the industry to “grow explosively as it becomes capable of accomplishing more tasks.”

In an article on Built In, Satya Mallick, founder of Big Vision LLC/Interim CEO, OpenCV.org, likened AI to “a rocket ship that is taking off.” He also explained that even entry-level jobs can pay extremely well. “The reason is a huge demand for AI talent and not enough people with the right expertise,” he explained.

The U.S. Bureau of Labor Statistics expects employment of computer and information technology occupations to grow 13% from 2020 to 2030 (projecting to add about 667,600 new jobs).

• Big Data Analyst - Find meaningful patterns in data by looking at the past to help make predictions about the future. Median Salary - $133,442
• User Experience (UX) Designer/Developer - Work with products to help customers understand their function and can use them easily. Understand how people use equipment and how computer scientists can apply that understanding to produce more advanced software. Median Salary - $77,398
• Natural Language Processing Engineer - Explore the connection between human language and computational systems; this includes working on projects like chatbots and virtual assistants. Median Salary - $111,000
• Researcher - Work with computer science and AI research Discover ways to advance AI technology Median Salary - $53,460
• Research Scientist - Expert in applied math, machine learning, deep learning, and computational stats. Expected to have an advanced degree in computer science or an advanced degree in a related field supported by experience. Median Salary - $123,279
• Software Engineer - Develop programs in which AI tools function. The role may also be referred to as a Programmer or Artificial Intelligence Developer. Median Salary - $88,896
• AI Engineer - Build AI models from scratch and help product managers and stakeholders understand results. Median Salary - $126,536
• Data Mining and Analysis - Finding anomalies, patterns, etc. within large data sets to predict outcomes. Median Salary - $93,044
• Machine Learning Engineer - Using data to design, build and manage ML software applications. Median Salary - $145,296
• Data Scientist - Collect, analyze and interpret data sets. Median Salary - $119,313
• Business Intelligence (BI) Developer - Analyze complex data sets to identify business and market trends Median Salary - $92,283
• Big Data Engineer/Architect - Develop systems that allow businesses to communicate and collect data Median Salary - $142,783
• Robotics Engineer - Design, build and test robots or robotic systems. Median Salary - $100,640
• Computer Vision Engineer - Develop and work on projects and systems involving visual data. Median Salary - $104,258 

 A recent search for “artificial intelligence” job openings on LinkedIn revealed thousands and thousands of results at a wide variety of companies. Here is a sample of some of the positions we found. (You can see similar LinkedIn search results here.)

• Wells Fargo — Sr. Conversational AI Content Strategists
• Nike — Data Scientist, Experience Research & Analytics
• Amazon Web Services — Machine Learning Engineer
• Apple — AI/ML Software Engineer
• Spotify — Research Scientist – Language Technologies
• Microsoft — Senior Researcher

As you can see from the list above, there are many different types of positions within artificial intelligence. Some of the most common AI-related job titles, courtesy of Glassdoor, include:

• Software engineer
• Data scientist
• Software development engineer
• Research scientist
• Solutions Architect
• Data Analyst

In general, tech companies (both software and hardware) dominate the list of companies that are hiring AI professionals. But a quick search on any reputable job listing site will give you a list of positions that span a variety of industries. Here is a sample of some of the top companies that are hiring for these types of AI roles:

• Deloitte
• Amazon
• Accenture
• H&R Block
• IBM
• PwC
• Fidelity Investments
• PayPal
• Major League Baseball
• Harvard Business School
• IKEA
• CVS
• American Express
• Wal-Mart

Salaries are dynamic, which means the numbers we’ve listed below will fluctuate due to inflation, trends, the job market, demand and other factors.

The average minimum salary for an artificial intelligence job ranges from $100,000 to $150,000. Salaries are significantly higher for AI engineers or positions requiring advanced degrees, averaging $171,715 with the top 25% earning above $200,000.

There are a range of averages, depending on the position and the responsibilities, but here are the most popular:

• According to Indeed, the salary for artificial intelligence careers ranges from approximately $99,568 for a developer to $141,318 for a data scientist.
• The average annual base pay for artificial intelligence salaries in the United States is $120,049, according to Glassdoor.
• According to Talent.com, the average artificial intelligence salary is $143,054 per year. Entry positions start at $115,000, and most experienced employees can make up to $200,000 per year.
• The easiest starting path for someone with absolutely ZERO previous experience is to seek a Data Analyst role which according to zip recruiter average starting salary is around  $71,034. After 3-5 years in an analyst role such a candidate would easily begin to qualify for Data Scientist level roles in the $120,000-$140,00 range and above.
• Many of these numbers could easily be beat with the right employer, location, and GitHub portfolio. CA and NY companies tend to pay ~20-40% more. Some startups and tech companies will pay well above $100k to impressive entry level candidates.

The next 24 -week AI/ML Bootcamp begins September 30th 2024.

• Yes. The 24 week bootcamp was designed for working professionals who are seeking to advance their current careers or change paths. 
• The classes will be 3 weekdays (Usually M,T,Th) per week from 6:30pm - 9:30pm Pacific Time (Time zone adjustments may take place depending on enrollment)
• There are several homework projects and 3 in-class group projects that will require some time commitment outside of class hours

• The classes will be taught live over Zoom by an Instructor who works in the field of AI/ML, where attendance is mandatory
• There are always in-class activities with live instructor feedback
• Classes are fast paced but casual and instructors are eager to answer questions.
• There are office hours throughout the week to help give 1 on 1 support or answer anything related to the bootcamp material or career related questions

Yes. We offer all of our learners career support and coaching as well as resume support, interview preparation and experiential learning opportunities.

•  No programming or machine learning experience is required. However, it is recommended that applicants hold a bachelor’s degree or have at least two years of experience in business, management, analytics, statistics or equivalent.

•  We offer a part-time program that allows working professionals to study AI and Machine Learning without leaving their current job.
•  Our curriculum is built based on the most in-demand technologies specific to companies looking to hire AI professionals.  
• We focus on AI and Machine Learning first.

• Upon graduation of the AI/ML bootcamp you will recieve a digital certificate/credential that can be shared on linked in and other social media and verified by potential employers.
• You will receive Career Counseling and support such as resume help etc.