Artificial Intelligence

Artificial Intelligence/Data Science Track at SynergisticIT

To survive in this highly competitive tech industry, it is indispensable for developers to stay updated & get upskilled in cutting-edge technologies. At SynergisticIT, we can help you stay ahead of the curve with our structurally designed Artificial Intelligence/Data Science Track. You'll learn to import, clean, manipulate, interpret, and visualize massive data sets to extract valuable insights in this track.

We provide an opportunity to work with real-world datasets to learn the application of Machine Learning and Data Science needed to train decision trees and use NLP. Start this track to grow your skills around Data SciencePythonAWS, and Machine Learning. The Artificial Intelligence/Data Science track at SynergisticIT consists of 1) Data Science, 2) AWS, 3) Python, and 4) Machine learning. The combination of these three technologies makes our Artificial Intelligence/Data Science track a hit among tech aspirants. After graduating from the Artificial Intelligence/data science track, the starting salaries range from $85,000 to $150000.

Check out our Candidate Success Outcomes.

Data Science Training

Data Science is an interdisciplinary field that uses several Machine Learning Algorithms, principles, tools, processes, & scientific methods to extract valuable insights from structured & unstructured data. It helps companies to make informed business decisions & improve their day-to-day functions. For this reason, they hire Data Analysts and Data scientists competent in using different techniques to build solutions from massive datasets.

Our Data Science and Data Analyst training can help you master some top-level skills, such as data manipulation, web scraping, Machine Learning algorithms, data visualization, predictive modeling, etc. In this training, we provide a comprehensive learning experience to candidates and enable them to gain hands-on data science expertise.

Data Science Training at Data Science Track
AWS Training at Data Science Track

AWS Training

AWS Certification Training at SynergisticIT can make you competent in different services provided by Amazon, including computing, Security, Identity, and Compliance, migration, database, security, management, networking, content delivery, etc.

We let you explore associate-level architectural principles & instill the best AWS practices. With this training, you can develop a deep understanding of how to build, design, scale, test, and deploy applications on Amazon Web Services. We help you increase productivity and efficiency in implementing AWS.

Python Training

SynergisticIT is the most trusted Python Training Bootcamp in California that gives a complete learning experience from basics to advanced level Python principles, including OOPs, data types, file handling, Matplotlib, Django, Lambda, NumPy, duck typing, web scraping, Pandas, Scala, etc.

We offer an essential toolkit for aspirants who want to start a successful career in futuristic technologies like Data Science and Artificial Intelligence. We let candidates explore core Python concepts with hands-on training. Our experienced instructors assist candidates throughout the training to build robust Python applications.

Python Training at Data Science Track
Machine Learning Training at Data Science Track

Machine Learning Training

With our Machine Learning Training, you get an opportunity to harness the maximum potential of this emerging technology and acquire the necessary skills for becoming a Machine Learning professional.

We help you explore the fundamentals of Machine Learning with its advanced approaches and gain an understanding of concepts such as data analysis, deep learning, computer vision, Python and statistics, NLP, model deployment, tableau, etc. Candidates learn about the theoretical underpinnings of AI and ML and gain practical knowledge for solving real-world problems.

Skills You Will Learn

This track introduces learners to Data Science through Python. It is intended for freshers, intermediate learners, and professionals with basic Python or programming knowledge wanting to apply statistics, Machine Learning, and data visualization techniques through Python programming tools and libraries to gain insights into their data.

  • Introduction to Data Science with Python
  • Python Introduction & Data Structures
  • Numerical Python (NumPy)
  • Pandas Data Analysis
  • Matplotlib & Seaborn Data Visualization
  • Data Analysis: Visualization Using Python
  • Introduction to Artificial Intelligence (AI) & Machine Learning (ML)
  • Machine Learning Techniques & Algorithms
  • Decision Tree and Random Forest Algorithm
  • Naive Bayes and KNN Algorithm
  • Support Vector Machine Algorithm
  • Model Deployment & Tableau
  • Introduction to Statistics
  • Introduction to Predictive Modelling
  • Data Exploration for Modelling
  • Data Preparation
  • Data structures and algorithms
  • Ensemble Learning Techniques
  • Web Scraping using Python Beautiful Soup
  • Time Series Analysis
  • PL/SQL and Databases
  • Natural Language Processing (NLP) & Text Mining
  • Market Basket Analysis
  • Beginners and Advanced - AI, Machine Learning and Business Analytics
  • Deep Learning and Computer Vision
  • Python and Statistics for Data Science
  • Data Manipulation: Cleansing – Munging
  • String Objects and Collection
  • Time-series Analysis
  • Naive Bayes
  • NLP with Python
  • Random variables
  • Django
  • Scala
  • Expected Value
  • Hypothesis Testing
  • AWS Well-Architected Framework
  • How to Build a Well-Architected Framework
  • Resilient Architecture Basics
  • Disaster Recovery
  • Options to Implement DR Plans
  • Performant Architecture Basics
  • Securing Architectures and Applications
  • Design Cost-Optimized Architectures
  • Defining networking infrastructure for a VPC app
  • How to design cost-optimized storage and compute
Who is suitable for pursuing our Data Science Track

Who is suitable for pursuing our Data Science Track?

Anyone who strives to build a career in Data Science Python AWS, and Machine Learning, can opt for this Artificial Intelligence/Data Science track. It is best suited for:

  • Professionals wanting to learn risk assessment, data analysis, hypothesis, testing, identification, pattern predictions, etc.
  • Individuals looking to manage large databases with different data types from various sources.
  • Aspirants who wish to learn using data from multiple sources to improve decision-making.

Reasons to choose Data Science Track:

Sky-High Salaries: Since more businesses have realized the value of collecting and interpreting data, they offer rewarding salaries to skilled Data Science experts. So, after getting technically upskilled in this Artificial Intelligence/Data Science track, you can expect high-paying salaries ranging from $104,000 to $155,000 per annum.

Escalating Demand: Data Science, Machine Learning, and Cloud Computing have revolutionized the tech industry. It has surged the demand for professionals well-versed in these technologies. Thus, pursuing this learning path can increase your professional value and make your skills more marketable. 

Work in Different Industries: In this digital era, all leading industries like IT, healthcare, finance, retail, manufacturing, and others harness data-driven solutions. Learning your way around the Artificial Intelligence/Data Science track can enlarge your career prospects.

Reasons To Choose Data Science Track

Plenty of Job Opportunities: There are numerous jobs for Machine Learning Engineers, Data Scientists, AWS Developers, and Python Developers. Big Fortune companies like Facebook, Google, IBM, Amazon, Apple, PayPal, and others hire these professionals to upscale their digital presence and provide customer-centric solutions. Seize the opportunity to work in such renowned companies by getting upskilled in futuristic technologies like Data Science, AWS, Python, and Machine Learning.

Career Outlook after attending Data Science Track

Career Outlook after attending Data Science Track

To be eligible for this program, you should have a Mathematical or Statistical background. Having some experience with Python programming is also recommended for better understanding.

Python Developer

Data Analyst

Statistician

BI Engineer

Data Scientists

Data Visualization Developer

AWS Developer

NLP Scientist

Algorithm Engineer

Machine Learning Engineer

Human-Centered ML Designer

Level up your tech career and gain some real-world experience in using Data ScienceAWSPython, and Machine Learning at SynergisticIT – (Home of the Best Data Scientists and Software Programmers in the Bay Area!) We can help enlarge your scope of work and accomplish your career goals.