certification Archives - Global Tech Council

MODULES INCLUDED

  • What is Artificial Intelligence?
    • History of Artificial Intelligence
    • Need of Artificial Intelligence
    • State of Art
    • The Turing Test
  • Intelligent Agents
    • Agents and Environment
    • Structure of Agents
  • Searching
    • Uninformed search
    • Informed search
    • Brute force search
    • Adversarial Search
    • Constraint satisfaction problems
  • Logic
    • Propositional Logic
    • Predicate Logic
    • Deduction
  • First Order Logic
  • Planning
  • Knowledge Representation
  • Rule Based System
  • Basic Probability Concepts
  • Bayesian Inference
  • Naive Bayes Models
  • Bayesian Networks
  • Markov Model
  • Hidden Markov Model
  • Association rules
  • Dimensionality reduction
  • Feature selection and visualization
  • What is Machine Learning?
  • Types of Learning
    • Supervised learning
    • Unsupervised Learning
    • Semi-Supervised Learning
  • Decision Tree
  • Clustering and Classification
  • Regression
  • Support Vector Machine
  • What is Reinforcement learning
  • Passive Reinforcement learning
  • Active Reinforcement learning
  • Searching in Reinforcement learning
  • Applications of Reinforcement learning
  • Natural Language Processing
    • Language Models
    • Information Retrieval
    • Information Extraction
  • Natural Language Processing for Communication
    • Syntactic Analysis
    • Augmented Grammar and Semantic Analysis
    • Machine Translation
    • Speech Recognition
  • Perception
    • Image Formation
    • Image Processing Operation
      • Edge Detection
      • Segmentation
      • Finding Depth
      • Finding Orientation
      • Object Recognition
  • What is a Neural Network?
  • Neural Network Representation
  • Types of Neural Network
    • Single Layer Network
    • Multi-Layer Network
  • Feedforward Neural Network
  • Convolutional Neural Network
  • Recurrent Neural Network
  • Neural Network Learning- Backpropagation
  • Healthcare
  • Robotics
  • Entertainment
  • There will be an online training followed by a multiple choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Provides a validation for your skills improving career opportunities
  • Improved potential for a higher salary
  • A secure digital certification for expanding your knowledge base

What you get?

  • Global Tech Council Certification
  • Career guidance in big data analytics domain
  • Peer-to-Peer networking opportunity
  • 1 to 1 counselling with our career experts

CAREER FACTS

Top job functions

  • Finance
  • Retail
  • Information Technology
  • Operations
  • Sales
  • Manufacturers


What does a Artificial Intelligence Expert do?

An artificial intelligence expert is required in a variety of settings including private companies and public organizations in multiple positions.

The Growth Curve ahead:

  • Analytics Director
  • Artificial Scientist
  • Machine Learning Engineer
  • Data scientist
  • Data Engineer

Final Outcome

After completing this certification, you would have mastered the core concepts of Artificial Intelligence.

Instructor Profile

Success Stories

MODULES INCLUDED

  • Evolution of Data
  • Big Data definition
  • Sources of Big Data
  • Social media as a Big Data source
  • Cloud as a Big Data source
  • IOT as a Big data source
  • Dat bases as Big Data source
  • Types of Data
  • Big Data challenges
  • Big Data opportunities
  • Big data in Healthcare Optimisation
  • Big Data in Telecom Industry
  • Big data in Marketing
  • Big data in optimising business processing
  • Challenges with the traditional approach
  • What is Hadoop
  • Why Hadoop
  • Features of Hadoop
  • Hadoop Architecture
  • Hadoop vs RDBMS
  • Data storage in HDFS
  • HDFS architecture
  • HDFS write mechanism
  • HDFS read mechanism
  • What is MapReduce
  • Word Count Example
  • MapReduce execution framework
  • Limitations of MapReduce.
  • What is Yarn
  • Feature of Yarn
  • Architecture of Yarn
  • Limitations of MapReduce
  • Apache spark definition
  • Features of Spark
  • Apache spark applications
  • Apache Spark Components
  • Spark core
  • Spark streaming
  • Spark SQL
  • MLlib
  • GraphX
  • Spark Architecture
  • Why Apache Pig
  • What is Apache Pig
  • Apache PIG vs MapReduce
  • Apache Pig vs SQL
  • Apache Pig execution modes
  • Apache Pig features
  • Apache Pig Highlights
  • Who is using Apache Pig
  • Apache Pig data types
  • Apache Pig commands
  • Application of Apache Pig
  • Apache Pig execution example
  • Apache Pig architecture
  • Apache Pig components
  • What is Hive?
  • Features of Apache Hive
  • Hive Architecture
  • Hive Job execution flow
  • Execution modes in Hive
  • There will be a multiple-choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Opens the world of excellent career opportunities in Big Data analytics.
  • Proves to be your competitive edge in interviews
  • Ramps up your career growth.
  • Improves your chances to get highly paid.

What you get?

  • Global Tech Council Certification
  • 24*7 Support for all your queries
  • Career guidance in big data analytics domain

CAREER FACTS

Top job functions

  • Business Development
  • Engineering
  • Information Technology
  • Operations
  • Sales


What does a Big Data Expert do?

Big data expert works closely with data, and make it informative by analyzing the data, which leads to business growth.

The Growth Curve ahead:
Big Data Analyst

Final Outcome

After completing this certification, you would have mastered the core concepts of Big Data that are commonly used across multiple industries to solve large-scale problems.

 

 

 

Success Stories

MODULES INCLUDED

  • What is Machine Learning?
  • Process of Machine Learning
  • Life Cycle of Machine Learning
  • Application working in Machine Learning
  • Types Of Machine Learning
  • Setting up the development environment lab
  • Importing Libraries
  • Importing Dataset
  • Taking care of Missing Data
  • Encoding Data: Categorical Data
  • Splitting the dataset into the Training set and Test set
  • Feature Scaling
  • What is Supervised Learning?
  • Types of Supervised Learning
  • Simple Linear Regression
  • Multiple Regression
  • Polynomial Regression
  • Implementation of Decision Tree
  • Implementation of Random Forest Regression
  • Implementation of Logistic Regression
  • Implementation of Naive Bayes
  • Implementation of Support Vector Machine (SVM)
  • K-means Clustering
  • K-means Selecting the Number of Clusters
  • Implementation of k-means clustering
  • Implementation of Hierarchical Clustering
  • Implementation of Apriori
  • Implementation of Time Series Modeling
  • Implementation of Upper Confidence Bound (UCB)
  • Implementation of Thompson Sampling
  • Implementation of Artificial Neural Networks (ANN)
  • Implementation of Convolutional Neural Network (CNN)
  • Implementation of XGBoost
  • Implementation of Principal Component Analysis
  • Implementation of Linear Discriminant Analysis
  • Implementation of Kernel PCA
  • Implementation of Natural Language Processing in Python
  • There will be an online training followed by a multiple choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Grasp an in-depth understanding of machine learning
  • Understand machine learning with acquired knowledge
  • Have an overview of ML benefits

What you get?

  • Global Tech Council Certification
  • Lifetime access to the course content
  • 24*7 Support for all your queries

CAREER FACTS

Top job functions

  • Marketing
  • E-Commerce
  • Manufacturing
  • Health sector
  • Behavioral science
  • Finance & Investing


What does a Machine Learning Developer do?

A Certified Machine Learning Developer is a skilled professional who understands what machine learning is and how machine learning works. The developer can use this knowledge to build a model from scratch. Students can use this knowledge to research new algorithms. Being a Machine Learning Developer facilitates you to build a model from sample data in order to automate the decision-making process based on data inputs.

The Growth Curve ahead:

After you successfully complete the certification, you can have various opportunities in your professional growth. You can be:

  • Machine learning Developer
  • Machine learning researcher

What are the domains where Machine Learning Developers work?

  • Marketing
  • E-Commerce
  • Manufacturing
  • Health sector
  • Behavioral science
  • Finance & Investing

Final Outcome

After completing this certification, you will be able to master the core concepts of machine learning along with greater understanding of AI and applications.

 

Success Stories



MODULES INCLUDED

  • Introduction to Python Programming
  • Numpy, Pandas and Matplotlib
  • Data Wrangling using Python
  • Introduction to machine learning
  • Regression
  • Classification
  • Clustering

 

  • Apriori Algorithm
  • Market Basket Analysis
  • Understanding Time Series Data
  • ARIMA analysis
  • There will be an online training followed by a multiple choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Provides a validation for your skills improving career opportunities
  • Improved potential for a higher salary
  • A secure digital certification for expanding your knowledge base

What you get?

  • Global Tech Council Certification
  • 24×7 dedicated support
  • Peer to peer networking
  • Lifetime access to course content

CAREER FACTS

Top job functions

  • Finance
  • Retail
  • Information Technology
  • Operations
  • Sales
  • Manufacturers


What does a Machine Learning Expert do?

An expert in machine learning is expected to deal with large volumes of data, develop efficient algorithms and data-driven models for processing across every industry

The Growth Curve ahead:

  • Data Science Manager
  • Big Data Engineer
  • ML Engineer
  • Software Engineer
  • Automation Engineer

Final Outcome

Success Stories