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Post Graduate Diploma in Artificial Intelligence

Learn Industry specific Deep Learning and Artificial Intelligence concepts designed in collaboration with top ranked university which will guarantee you to stand out from the competition and recession.

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Eligibility

College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.

No programming knowledge needed. You will learn from scratch!

Who should sign up?

  • Those aspiring to be Data Scientists, AI Experts, Business Analysts, Data Analytics, Software Developers
  • Graduates looking for a career in Data Science, Machine Learning, Forecasting, AI
  • Professionals migrating to Data Science
  • Academicians and Researchers
  • Students entering the IT industry

What Do You Learn

  • Learn to create Python constructs for the purpose of performing analytics
  • Connect with varied databases using Python and execute queries through SQL & NoSQL
  • Get a grip of the fundamentals of Mathematics & Statistics that are pertinent to Data science
  • Acquire the skill required for executing Machine Learning algorithms (Supervised & Unsupervised) and gather insights from the outcome
  • Learn about Cloud Computing skills and run Machine Learning algorithms on Cloud
  • Unbox the black box, demystify the concepts around Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, etc.
  • Learn to use one of the most popular open-source distributed data platform to enable storage and processing Big Data using commodity Hardware
  • Learn about analyzing unstructured data including Images, Videos, Audio, Text, and how to draw insights from the same
  • Stay ahead by learning to use optimized forecasting techniques and the various method for the same
  • Work with Data Plumbing to ensure a continuous flow of the real-time and or batch data in Data systems to make real-time decision making
  • Map End-to-End Machine Learning Models on Microsoft Azure cloud services for scalable and ready to Market solutions on Big Data
  • Work with one of the most popular visualization and business intelligence tools, Power BI, to make state of the art presentations and analytics
  • Learn AutoML libraries & frameworks – both open source and commercial. This includes building End-to-End pipelines of data related projects

After Successfully completing the programme you should be able to

  • Have a firm grip on the fundamentals of Machine Learning, Deep Learning, Cloud Platforms, DevOps for Data Science, Big Data, Database Management (SQL, NoSQL), Business Intelligence and many more
  • Successfully contribute towards Data Analytics projects involving ML, Cloud Computing and Data Pipeline building
  • Lead team of Analytics professionals with myriad experiences and efficaciously deliver the client requirements with the final objective in mind

Synopsis of PG Diploma in Artificial intelligence

This program is designed for Graduates who are keen on leveraging on the Analytics Knowledge and the valuable PG diploma from the leading university of the US. This blended program over the best of a multitude of courses, explains in detail, without compromising on the content quantity or quality.

A typical participant will be exposed to the rigors of multi-platform training that will encompass live virtual classes, prerecorded lectures, interactive chat support, mentoring, projects (end to end capstone and mini projects), pre assessments, post assessment, quizzes, and much more.

The program is also suited for both new graduates as well as working professionals who are looking to catapult their careers into a much higher league with the knowledge base acquired.

Curriculum of PG Diploma in Artificial intelligence

Chart Your Career with Industry Specific blended Core Modules Designed for Expanding Job Roles

Introduction to Artificial Intelligence
Introduction to Artificial Intelligence  Self Paced

 

AI Development Theory
AI Development Theory  Self Paced

 

Machine Learning
Machine Learning  Self Paced

 

Problems and Uncertainty
Problems and Uncertainty  Self Paced

 

Introducing Natural Language Processing
Introducing Natural Language Processing   Self Paced

 

AI and ML Solutions with Python
AI and ML Solutions with Python  Self Paced

 

Developing AI and ML Solutions with Java
Developing AI and ML Solutions with Java   Self Paced

 

Tensor Flow
Tensor Flow   Self Paced

 

Neural Network
Neural Network  Self Paced

 

Applying Machine Learning
Applying Machine Learning   Self Paced

 

Planning for AI
Planning for AI  Self Paced

 

Applied Predictive Modeling
Applied Predictive Modeling   Self Paced

 

Essentials of BlockChain
Essentials of BlockChain   Self Paced

 

Understanding and Building Bots
Understanding and Building Bots  Self Paced

 

HCI Principles and Methods
HCI Principles and Methods  Self Paced

 

Computer Vision for AI
Computer Vision for AI  Self Paced

 

Cognitive Models
Cognitive Models  Self Paced

 

Elements of an Artificial Intelligence Architect
Elements of an Artificial Intelligence Architect  Self Paced

 

Reusable AI Architecture Patterns
Reusable AI Architecture Patterns  Self Paced

 

AI Enterprise Planning
AI Enterprise Planning  Self Paced

 

AI Framework Overview
AI Framework Overview   Self Paced

 

AI in Industry
AI in Industry  Self Paced

 

Evaluating Current and Future AI Technologies and Frameworks
Evaluating Current and Future AI Technologies and Frameworks  Self Paced

 

Applying Cognitive Models
Applying Cognitive Models  Self Paced

 

AI and Robotics
AI and Robotics  Self Paced

 

Building Intelligent Information Systems
Building Intelligent Information Systems  Self Paced

 

AI Apprentice to AI Architect
AI Apprentice to AI Architect  Self Paced

 

Business & Leadership for AI Architects
Business & Leadership for AI Architects  Self Paced

 

Productivity Tools for AI Architects
Productivity Tools for AI Architects   Self Paced
Data Visualization Introduction and Concepts
Data Visualization Introduction and Concepts  Live Class
Tableau Introduction and Tableau Architecture
Tableau Introduction and Tableau Architecture  Live Class
Exploring Data using Tableau
Exploring Data using Tableau  Live Class
Working with Data using Tableau including Data Extraction and Blending
Working with Data using Tableau including Data Extraction and Blending  Live Class
Various Charts in Tableau (Basic to Advanced)
Various Charts in Tableau (Basic to Advanced)  Live Class
Hierarchies - Tableau Drill Down and Roll Up Features
Hierarchies - Tableau Drill Down and Roll Up Features  Live Class
Sorting - Quick Sort, Sort from Headers, Legends, Axis, Tool Bar; Sort by Fields, Nested Sort
Sorting - Quick Sort, Sort from Headers, Legends, Axis, Tool Bar; Sort by Fields, Nested Sort  Live Class
Filtering - Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
Filtering - Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters  Live Class
Groups, Sets and Combined Sets
Groups, Sets and Combined Sets  Live Class
Reference Lines, Bands and Distribution
Reference Lines, Bands and Distribution  Live Class
Parameters - Dynamic Parameters, Parameter Actions
Parameters - Dynamic Parameters, Parameter Actions  Live Class
Forecasting - Exponential Smoothing Technique
Forecasting - Exponential Smoothing Technique  Live Class
Data Mining Unsupervised Learning - Clustering
Data Mining Unsupervised Learning - Clustering  Live Class
Calculated fields in Tableau, Quick Table Calculations, LOD Expressions
Calculated fields in Tableau, Quick Table Calculations, LOD Expressions  Live Class
Tableau Mapping Features
Tableau Mapping Features  Live Class
Tableau - R Integration
Tableau - R Integration  Live Class
Tableau Interactive Dashboards, Dashboard Actions, Stories
Tableau Interactive Dashboards, Dashboard Actions, Stories  Live Class
Tableau Certification Orientation
Tableau Certification Orientation  Live Class

Industry Projects in collaboration with DERIVE

Learn through the “20 Most Promising Data Analytics Solution Provider of 2018”.

DERIVE provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. FUZEN IT in collaboration with DERIVE offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.

Career Transition Stories

Lokesh

FUZEN IT has an exceptional team of instructors who supported and motivated me throughout my Data Science course. Coming from a statistical background, I was initially unsure about programming—but their hands-on teaching helped me build strong coding skills. The career support team guided me throughout my job search, and I secured two great job offers. This course truly elevated my skills. It’s one of the best investments I’ve made in myself—completely worth it

Industry Trends

  • 68% career Transition
  • The average starting salary for Freshers on "AI" Start from Rs 8.5L* PA
  • Average Hike for "Data Scientist" stands at 34% to 50%

FAQs About Our PG Diploma in Artificial intelligence

While there are a number of roles pertaining to data professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.

While there are a number of roles pertaining to data professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.

While there are a number of roles pertaining to data professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.

While there are a number of roles pertaining to data professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.

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