Machine Learning Bootcamp in NYC

Best Machine Learning and AI Bootcamp Training in New York

SynergisticIT is the Best Machine Learning and AI Bootcamp Training in New York that encourages you to step ahead of basic programming and learn some groundbreaking ML algorithms. Our online Machine Learning course in NYC focuses on imparting practical skills and knowledge to solve real-world problems. 

The technology job market in New York is booming, and one of the most in‑demand career paths today is in Machine Learning (ML) and Artificial Intelligence (AI). Companies across finance, healthcare, retail, and media are racing to hire professionals who can design intelligent systems, analyze massive datasets, and deploy predictive models. For jobseekers, this means the right training program can open doors to lucrative opportunities. But with so many options available, how do you choose the best Machine Learning and AI bootcamp in New York? The answer lies in finding a program that not only teaches the skills but also ensures you get hired. That’s where SynergisticIT’s Data Science Job Placement Program (JOPP) stands out.

We also participate in tech Industry events to ensure our candidates get the latest Tech updates for their career.

There are many companies in New York hiring machine learning and AI engineers. Some of the top companies include Gusto, Webflow, Coinbase, Hebbia, Lightning AI, Verneek, GPTZero, Finch Legal, Middesk, Netflix, Morgan Stanley, Intuit, Etsy, Spotify, JPMorgan Chase, FanDuel, Notion, Figma, and Google.

Demand for machine learning and AI engineers in New York is strong and accelerating: there are already hundreds to thousands of active openings across companies and sectors, reflecting sustained hiring for applied ML, NLP, computer vision, and MLOps roles. Salary data for New York shows entry to mid‑level Machine Learning Engineers commonly earn between about $90k and $140k, with several aggregated sources placing the average/median in the $130k–$142k range and the typical interquartile spread roughly $110k–$170k; top percentile earners and those at major tech firms or in finance can reach $170k–$200k+ when bonuses and equity are included.

Reasons to Start a Machine Learning Career

More Career Opportunities: Reportedly, Machine Learning as a Service will expand to $19.9 billion by 2026. As every industry is looking to apply ML and AI technologies, it will create massive demand for Machine Learning Engineers, Data Scientists, Cybersecurity Analysts, Data Mining Experts, Cloud Architects, and other related professionals. So, getting online Machine Learning Training in New York City can be a smart career move.

The demand for ML/AI engineers in New York is not limited to traditional data science. Employers increasingly expect candidates to be familiar with emerging technologies across multiple domains:

  • Data Science Tools: Python, R, TensorFlow, PyTorch, Scikit‑Learn, Jupyter Notebooks.
  • Data Analytics Platforms: SQL, Tableau, Power BI, Google Data Studio, Excel.
  • Data Engineering Frameworks: Apache Spark, Hadoop, Kafka, AWS, Azure, Google Cloud.
  • ML/AI Specializations: Natural Language Processing (NLP), Computer Vision, Deep Learning, Large Language Models (LLMs).

These technologies are being adopted by companies to build recommendation systems, fraud detection engines, chatbots, and predictive analytics platforms. Jobseekers who can demonstrate proficiency across these stacks are far more competitive.

High-Paying Jobs: Needless to say, Machine Learning Engineers get lucrative offers. The average salary of a skilled Machine Learning Engineer in the US ranges from $75,000 to a whopping $180,000 per annum. It is the main reason why so many tech aspirants pursue a rewarding career in Machine Learning.

Machine Learning Training Bootcamp in NYC

Different Industries are using Machine Learning- With continuous advancements in Artificial Intelligence and Machine Learning, various sectors are looking to hire ML Engineers. Be it Healthcare, Education, Logistics, e-Commerce, or Transportation, Advertising, and Finance, all verticals heavily rely on AI and Machine Learning. Thus, if you get upskilled through Machine Learning training, you will have better chances to work in diverse sectors.

Dominant in the Real-World- Around 3.25 billion people use voice search assistants like Siri or Google, primarily based on Machine Learning algorithms. These numbers evidently show the significance of ML. Machine Learning streamline our life in a major way. Some real-world examples of Machine Learning applications are product recommendation, online fraud detection, email spam filtering, face recognition systems, traffic predictions, video surveillance, etc. If you get well-versed in Machine Learning, you will be able to bring a great impact on the world with such tech-driven solutions.

Big Companies looking to hire Machine Learning Engineers

The Curriculum of Machine Learning Training

Many aspiring professionals assume that completing one online Machine Learning bootcamp in New York will guarantee them a job. Unfortunately, that’s not the case. Employers want candidates who can work across data engineering, data analytics, ML/AI, and data science simultaneously. Without this holistic skill set, candidates often struggle to meet job requirements.

  • A machine learning engineer must understand how to build data pipelines (data engineering).
  • A data scientist must know how to visualize insights (data analytics).
  • An AI engineer must combine model building with cloud deployment (data science + engineering).

This synergy is what makes candidates truly job‑ready. That’s why SynergisticIT emphasizes a comprehensive curriculum rather than a narrow focus.

Tools Across the Tech Stacks

To succeed in today’s job market, candidates must master tools across all domains:

  • Data Science: Python, R, TensorFlow, PyTorch, Scikit‑Learn.
  • Data Analytics: SQL, Tableau, Power BI, Excel.
  • Data Engineering: Hadoop, Spark, Kafka, AWS, Azure, GCP.
  • ML/AI: NLP libraries, Hugging Face Transformers, OpenCV, Keras.

Employers expect proficiency in these tools because they represent the end‑to‑end workflow of modern AI systems—from raw data ingestion to model deployment.

How SynergisticIT’s Program Is Different

Unlike traditional coding bootcamps, SynergisticIT’s best Machine Learning and AI bootcamp in New York is not just about training—it’s about job placement. SynergisticIT has been in the tech industry for over 15 years, giving it unmatched credibility and industry connections. Their Data Science Job Placement Program (JOPP) integrates:

  • Comprehensive training in ML/AI, data science, data analytics, and data engineering.
  • Hands‑on projects that simulate real‑world scenarios.
  • Certifications to validate technical expertise.
  • Interview preparation including mock interviews and resume workshops.
  • Active job marketing and interview scheduling with top companies until candidates are hired.

This approach ensures that graduates are not left to fend for themselves in the job market, unlike many other bootcamps.

Why SynergisticIT Beats Other Bootcamps

Not all bootcamps are equal. Many cheaper training companies promise job guarantees but fail to deliver. Others only cover a narrow slice of technology, forcing jobseekers to attend multiple bootcamps. SynergisticIT eliminates this problem by offering a single, integrated program that covers everything employers demand.

Instead of wasting time and money on 4–5 different bootcamps, candidates can enroll in SynergisticIT’s Data Science JOPP, which provides a complete tech stack and direct job placement support.

Learn more about SynergisticIT’s Job Placement Program JOPP and SynergisticIT’s Data Science JOPP.

Beginner’s - Artificial Intelligence, Machine Learning and Business Analytics

  • Business Analytics & Business Intelligence
  • How to Work in the Cloud Practical Session
  • Machine Learning & Artificial Intelligence

Advanced - Artificial Intelligence and Machine Learning

  • Decision Tree and Random Forest Algorithm
  • Naïve Bayes and KNN Algorithm
  • Support Vector Machine Algorithm

Deep Learning and Computer Vision

  • Natural Language Processing (NLP) & Text Mining
  • Sentiment Analysis using Text Blob Practical Session and Task
  • Recommendation System Project Session and Task
  • Natural Language Processing using NLTK Practical Session and Task
  • Market Basket Analysis Session and Task

Python and Statistics for Data Science

  • Python Introduction and Practical Task
  • Numerical Python Practical Session and Task
  • Matplotlib Data Visualization
  • Pandas Data Analysis

Data Manipulation: Cleansing – Munging

  • Cleansing Data with Python
  • Filling missing values using lambda function and concept of Skewness.
  • Data Manipulation steps like sorting, filtering, merging, appending, derived variables, formatting, etc.

Data Analysis: Visualization Using Python

  • Introduction exploratory data analysis
  • Descriptive statistics, Frequency Tables and summarization
  • Univariate Analysis
  • Bivariate Analysis
  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density)
  • Important Packages for Exploratory Analysis (NumPy Arrays, Matplotlib, seaborn, Pandas.

String Objects and Collection

  • String Object Basics and Methods
  • Splitting and joining strings
  • String Format Functions
  • List object Basics and Methods

Machine Learning-1

  • Introduction
  • Supervised, Unsupervised, Semi-supervised & Reinforcement
  • Train, Test & Validation splits
  • OverFitting & UnderFitting
  • Linear regression
  • R-square & adjusted R-square
  • Intro to Scikit learn
  • Training methodology
  • Hands on linear regression
  • Logistics regression
  • Precision Recall
  • Confusion matrix
  • ROC-Curve

Machine Learning-2

  • Decision tree
  • Cross validation
  • Bias vs variance
  • Ensemble approach
  • Bagging & boosting
  • Random forest
  • Variable importance

Machine Learning-3

  • XGBoost
  • Hyper parameter optimization
  • Random search cv
  • Grid search cv
  • Knearest neighbour
  • Lazy learners
  • Curse on dimensionality
  • KNN issues
  • Hierarchical Clustering
  • K-Means

Machine Learning-4

  • SVR
  • SVM
  • Naïve Bayes
  • Polynomial Regression
  • Ada Boost
  • Gradient Boost
  • Isolation Forest

Deep Learning

  • What is Deep Learning?
  • How do neural networks work?
  • Back propagation
  • ANN in python
  • What are convolutional neural networks?
  • Installing Tensor Flow & Keras
  • CNN in python
  • Activation function & Epoch

Natural Language Processing

  • NLP with Python
  • Sentiment analysis
  • Bags of words
  • Stemming
  • Tokenization

Tableau

  • Working with Tableau
  • Data organization
  • Creation of parameters
  • Advanced visualization
  • Dashboard data presentation

Model Deployment

  • Flask Introduction
  • Flask Application
  • Django end to end

Who is Eligible for this Machine Learning Training ?

Our training is designed for those people who want to build a successful career in the thriving Machine Learning industry. It is best suited for:

Information Architect

Business Analyst

Analytics Manager

Developers seeking to move into Machine Learning

Fresh college graduates or undergraduates with interest in AI & ML

Who-is-Eligible-for-this-Machine-Learning-Training
Prerequisites-for-enrolling-in-our-online-Machine

Prerequisites for enrolling in our online Machine Learning Training

Our Machine Learning training in New York City does not require any previous niche knowledge or experience. However, candidates need to meet the following requirements for a better learning experience:

  • Before enrolling, ensure you are comfortable with histogram, data structure, variables, statistics, algorithm, linear equation, calculus, etc.
  • Some programming experience in Python or Java can be helpful.

Careers after completing our Machine Learning Training

You will have endless career options once you complete the best Machine Learning Training at SynergisticIT. Here are some top positions you can pursue:

  • Machine Learning Engineer
  • BI Developer
  • Data Scientist
  • Research Engineer
  • NLP Scientist
  • Algorithm Engineer
  • Human-Centered ML Designer
  • Data Analyst
Machine Learning Training in New York City

 

Get hands-on practical knowledge of Machine Learning by working on live projects and case studies under the guidance of our seasoned instructors. When you join our Machine Learning Training in New York City, you get end-to-end assistance in learning the most relevant ML skills.

Tech Stack Included in JOPP

SynergisticIT’s program covers:

  • Data Science: Python, R, TensorFlow, PyTorch.
  • Data Analytics: SQL, Tableau, Power BI.
  • Data Engineering: Spark, Hadoop, AWS, Azure.
  • ML/AI: NLP, Computer Vision, Deep Learning, LLMs.
  • Projects: End‑to‑end applications integrating all stacks.
  • Certifications: Industry‑recognized credentials.
  • Interview Prep: Mock interviews, resume building, and soft skills training.This ensures candidates are fully prepared for the job market.

Placement Success and Salaries

SynergisticIT’s graduates have been hired by leading companies such as Visa, Apple, PayPal, Walmart Labs, AutoZone, Wells Fargo, Capital One, Walgreens, Bank of America, SAP, Cisco Systems, Verizon, T‑Mobile, Intuit, Ford, Hitachi, Western Union, Deloitte, Dell, USAA, Carfax, Humana, and many more.

Salaries for these roles typically range from $95k to $155k, reflecting the high demand for skilled professionals in New York and across the USA. These figures demonstrate the tangible outcomes of SynergisticIT’s program compared to generic bootcamps.

Why SynergisticIT Is the Best Choice

There may be hundreds of Machine Learning and AI bootcamps in New York, but if your goal is to get hired, there is only one choice: SynergisticIT’s best Machine Learning and AI bootcamp training in New York. Unlike other bootcamps that train and leave students to fend for themselves, SynergisticIT actively markets its candidates, schedules interviews, and supports them until they secure employment.

This is why SynergisticIT’s program is called a Job Placement Program (JOPP)—because it combines training with staffing, ensuring success in the job market.

If you are serious about building a career in data science, machine learning, and AI, don’t settle for generic bootcamps. Choose SynergisticIT’s best Machine Learning and AI bootcamp in New York, the only program that guarantees comprehensive training, real projects, certifications, and active job placement support. With SynergisticIT, you don’t just learn—you get hired.

SynergisticITHome of the Best Data Scientists and Software Programmers in the Bay Area.

train to grow- Machine Learning

Frequently Asked Questions on Machine Learning

What Our Candidates Say About Us ?

Google Reviewer 2

A great company to further your career an grow as a developer. The management is amazing and you will have an opportunity to get certified in many ways. If you are on OPT, this is a great chance for you to learn about new technologies and gain valuable experience.

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Google Reviewer

Good place in terms of project, skills and level of knowledge attained. Treat you like kids sometimes. Took bootcamp in SF was unable to get a job and came to them on a friend’s referral. I am sure their results speak for themselves. All my peers and me and alumni had offers once we were…

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Minh Ho

Good place for anyone struggling to find a technology job with bigger name clients. I worked with them for some time like a year back or so and after my experience with them I had upgraded my coding skills to the standards of major it organizations. Synergisticit is in my opinion one of the very…

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Menglee Guy

Synergistic was the best decision I made for my career. I worked on multiple projects here. I learned lots of in demand skills relevant to this industry. I was able to obtain multiple job offers in this highly competitive market. Before I joined, I have applied at hundreds of places and maybe a handful would…

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