Deep Dive in TensorFlow with Python Ml and Al

This course will help you learn TensorFlow with Python AI and Ml, a popular open-source library for Deep Learning and Machine Learning.

Professionalize your Skills

TensorFlow has pre-built functions and advanced operations to make creating neural network models easier. It provides the necessary infrastructure and hardware, making it one of the most widely used deep learning libraries among researchers and students.

Join #1 Data Science Training & Placement Institution in India

Deep Dive in Data Science, AI & ML

Live Online and Offline Learning Classes.

Live Classes on Data Science

Training from highly experienced instructors

Industry Experts

No prior coding experience is required to do this course

Industry Approved Certificate upon completion

Internship

Apply your skills with hands-on projects & Case Studies

Active job referrals from 500+ Fortune Companies

Join a booming industry

SkillEnable emphasizes developing both interpersonal and interview skills along with a regular curriculum in order to make you the top target of recruiters.

Be a Target Hire

SkillEnable develops interpersonal and interview skills, as well as offering a regular curriculum, so that you are the prime target of recruiters

Industry Relevant Tools

Learn the latest data science tools and practice real-life case studies and capstone projects using industry tools.

Personalized Curriculum

Curriculum that focuses on developing soft skills in individuals

Program Features!

Complete the course and get a completion certificate

 

Share your certificate with prospective employers and your professional network on LinkedIn.

DOWNLOAD THE BROCHURE
  • Sorting, Filtering

  • Pivots, Lookup function

  • Conditional Formatting

  • Logical Operators and Functions

  • Data Validation

  • Text Functions

  • Dashboard

  • Case Study

Week 1

  • SQL Queries and Relational Database Management

  • Relational Database Fundamentals

  • DDL

  • DCL

  • DQL

  • DML

  • Merging

  • Joining Sorting

  • Indexing

  • Creating Database models

  • Case Study

Week 2-4

  • Data Visualisation in Python

  • Linear Regression

  • Discriminative Statistical Model

  • Time Series, Decision Trees

  • Instance-based learning

  • Ensembles, Neural Networks

  • Clustering

  • Support Vector Machines

  • Model Selection and Advanced Regression

  • Deep Learning and Neural Networks and TensorFlow

Week 5-14

  • Case Studies

  • Capstone Projects

Week 1-14

  • Resume building

  • Email etiquette

  • Telephone etiquette

  • Linkedin profile building

  • GitHub profile making

  • Mock Interviews

Week 1-14

  • Resume building

  • Email etiquette

  • Telephone etiquette

  • Linkedin profile building

  • GitHub profile making

  • Mock Interviews

Week 1-14

  • Resume building

  • Email etiquette

  • Telephone etiquette

  • Linkedin profile building

  • GitHub profile making

  • Mock Interviews

Week 1-14

PAYMENT PLANS AND SELECTION PROCESS

TESTIMONIALS

NEWS ROOM

Our Selection Process

 

It's an Intensive and Elite 3 Months Program with an Extensive Selection Process.

Document Verification 

Students will have to submit documents for verification for their credit profiling.

Registration & ISA Signing

Students selected by a final interview by experts will sign the ISA and start the course.

Online Assessment &Interview

Students will go through an assessment on Quantitative, Critical Reasoning, and Interpersonal skills followed by an Interview.

Application

Filling an extensive application forms with academic, professional  and personal background.

Open-source platform

An open-source platform that is accessible to all users and capable of supporting the creation of any system

Data Visualization

TensorFlow provides a better way of visualizing data with its graphical approach. With the help of TensorBoard, it is also possible to debug nodes quickly.

Scalable

This platform can be used to accomplish almost any operation. With its characteristic of being deployed on every machine and graphical representation of a model allows its users to develop any kind of system using TensorFlow.

Compatible

It is compatible with a variety of languages such as C++, JavaScript, Python, C#, Ruby, and Swift. This allows a user to work in an environment they are comfortable in.

Benefits of using TensorFlow with Python AI and ML

Course Details

Top Companies that Hire From Us!

SkillEnable has 500+ Hiring partners who have hired our students for roles like Business Analyst, Data Analyst, Data Scientist, Data Associate, Python & ML Expert, Subject Matter Expert in Data Science, Product Managers, Junior Manager, Financial Analyst & Quality Analyst.