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“Some people call this artificial intelligence, but the reality is this technology will enhance us.
So instead of artificial intelligence, I think we’ll augment our intelligence.” —Ginni Rometty

What is A.I ?
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
For example, speech recognition, problem-solving, learning and planning.

Scope of A.I
Since its inception, AI has demonstrated unprecedented growth. Sophia the AI Robot, is the quintessential example of this.
The future of Artificial intelligence is hazy. But going by the bounds of progress AI has been making, it is clear AI will permeate every sphere of our life.
Listed below are the diverse ways in which AI can change in the future.

• Breakthrough in Science • Cyber Security • Face Recognition • Data Analysis • Transport • Various Jobs • Emotion Bots • Marketing & Advertising

AI is the latest buzzword in Tech. All the major enterprises will make use of AI in the future to improve their productivity. AI is going to permeate every job sector in the future. It can create new career paths in the field of Machine learning, Data mining, and analysis, AI software development, program management, and testing. The demand for AI certified professionals will grow along with the developments in AI. Gaining a certificate in AI will give you an edge over other IT professionals as AI is the future of IT.

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Data Science using Python

[/vc_column_text][vc_separator color=”custom” accent_color=”#006833″][/vc_column][/vc_row][vc_row][vc_column width=”1/2″ css=”.vc_custom_1592203876511{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 35px !important;padding-bottom: 0px !important;padding-left: 35px !important;border-radius: 2px !important;}”][vc_tta_accordion active_section=”1″ css=”.vc_custom_1589267148379{padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;border-radius: 3px !important;}”][vc_tta_section title=”DSP Mon-Fri : 7AM to 9AM” tab_id=”1589198522866-6bb2012c-37a6878b-20232b96-c6ea”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

Next Batch Date :

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Course Fee : ₹ 45,000.00

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Course Fee : ₹ 45,000.00
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Course Fee : ₹ 45,000.00
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Course Fee : ₹ 45,000.00
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[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][/vc_tta_accordion][/vc_column][vc_column width=”1/2″ css=”.vc_custom_1592199400312{padding-top: 0px !important;padding-right: 35px !important;padding-bottom: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion active_section=”1″ css=”.vc_custom_1592027410858{background-image: url(https://www.smeclabs.com/wp-content/uploads/2020/06/107-1075957_vector-icono-descarga-gratuita-png-y-vector-python.png?id=4950) !important;}”][vc_tta_section title=”Introduction to Data Science” tab_id=”1589195458889-e3eed234-24f9878b-20232b96-c6ea”][vc_column_text]➢ Life Cycle of Data Science
➢ Skills required for Data Science
➢ Careers Path in Data Science
➢ Applications of Data Science[/vc_column_text][/vc_tta_section][vc_tta_section title=”Statistics” tab_id=”1589195458915-9bea221f-288c878b-20232b96-c6ea”][vc_column_text]➢ Relationship between Statistics and Data Science
➢ Introduction to Data
➢ Descriptive Statistics
➢ Inferential Statistics
➢ Random Sampling and Probability Distribution

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Python for Data Science” tab_id=”1589196186407-d206568c-4a1c878b-20232b96-c6ea”][vc_column_text]➢ Python programming
➢Python for Exploratory Data Analysis[/vc_column_text][/vc_tta_section][vc_tta_section title=”SQL for Data Science” tab_id=”1589196190857-f76ec9ee-54b5878b-20232b96-c6ea”][vc_column_text]• Introduction to RDBMS
• Retrieving
• Updating
• Inserting
• Deleting
• Sorting AND Filtering
• Summarizing AND Grouping
• Using Subqueries
• Joining Tables
• Views
• Stored Procedure
• Python Database ConnectionAPI[/vc_column_text][/vc_tta_section][vc_tta_section title=”Deep dive into Machine Learning” tab_id=”1589196320531-38a91dfe-2b9a878b-20232b96-c6ea”][vc_column_text]➢ Introduction To Machine Learning[/vc_column_text][/vc_tta_section][vc_tta_section title=”NLP & Recommender Systems” tab_id=”1589196422099-33991fca-27f9878b-20232b96-c6ea”][vc_column_text]• Text preprocessing using Bag of words technique
• TF(Term Frequency)
• IDF(Inverse Document Frequency)
• Normalization
• Vectorization
• NLP with Python[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column css=”.vc_custom_1592199569144{padding-right: 35px !important;padding-bottom: 0px !important;padding-left: 35px !important;}”][vc_column_text]

AI & Deep Learning with Python and TensorFlow

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  • Introduction Deep Learning
  • Life Cycle of Deep Learning
  • Skills required for Deep Learning
  • Careers Path in Deep Learning
  • Applications of Deep Learning
  • Advantage of Deep Learning over Machine learning
  • 3 Reasons to go for Deep Learning
  • Real-Life use cases of Deep Learning
  • Review of Machine Learning: Regression, Classification, Clustering, Reinforcement Learning, Underfitting and Overfitting, Optimization

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Relationship between Statistics and Data Learning” tab_id=”1591417631023-23893499-e0b2ed37-463b”][vc_column_text]

  • Introduction to Data:
    • Data types
    • Data Collection Techniques
  • Descriptive Statistics:
    • Measures of Central Tendency
    • Measures of Dispersion
    • Measures of Skewness and Kurtosis
    • Visualization
  • Inferential Statistics:
    • Sampling variability and Central Limit Theorem
    • Confidence Interval for Mean
    • Hypothesis ,t- Test,F-Test,Chi-square Test
    • ANOVA
  • Random Sampling and Probability Distribution:
    • Probability and Limitations,Discrete Probability,Continuous Probability
    • Binomial, Poisson Distributions,Normal Distribution

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Python for Data Science” tab_id=”1591417631156-79dec068-620ced37-463b”][vc_column_text]

  • Environment Setup
  • Jupyter Notebook Overview
  • Data types:Numbers,Strings,Printing,Lists,Dictionaries,Booleans,Tuples ,Sets
  • Comparison Operators
  • if,elif, else Statements
  • Loops:for Loops,while Loops
  • range()
  • list comprehension
  • functions
  • lambda expressions
  • map and filter
  • methods
  • Programming Exercises.
  • Object-Oriented Programming
  • Modules and packages
  • Errors and Exception Handling
  • Python Decorators
  • Python generators
  • Collections
  • Regular Expression

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Python for Exploratory Data Analysis – NumPy” tab_id=”1591417631282-8723921e-92efed37-463b”][vc_column_text]

  • Installing numpy
  • Using numpy
  • NumPy arrays
  • Creating numpy arrays from python list
  • Creating arrays using built in methods(arrange(),zeros(),ones(),linspace(),eye(),rand(),etc.
  • Array attributes :shape, type
  • Array methods: Reshape(),min(),max(),argmax(),argmin(),etc.

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Python for Exploratory Data Analysis – Pandas” tab_id=”1591417631408-4f12878a-14c7ed37-463b”][vc_column_text]

  • Introduction to Pandas
  • Series
  • DataFrames
  • Missing Data
  • GroupBy
  • Merging, Joining and Concatenating
  • Operations
  • Data Input and Output

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Python for Data Visualization – Matplotlib” tab_id=”1591417631540-0af30bdf-6397ed37-463b”][vc_column_text]

  • Installing Matplotlib,Basic Matplotlib commands
  • Creating Multiplot on same canvas
  • Object Oriented Method:figure(),plot(),add_axes(),subplots(),etc.
  • MatplotlibExercise

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Python for Data Visualization – Seaborn and Panda” tab_id=”1591417631674-e71112f5-82aced37-463b”][vc_column_text]

  • Categorical plot
  • Distribution plot
  • Regression plot
  • Seaborn Exercise

Pandas built in visualization:

        • [/vc_column_text][/vc_tta_section][vc_tta_section title=”Artificial Neural Network and Deep Learning” tab_id=”1591417631809-56837bc7-1883ed37-463b”][/vc_tta_section][/vc_tta_accordion][vc_column_text]

      [/vc_column_text][/vc_column][vc_column width=”1/3″ css=”.vc_custom_1592203917005{padding-top: 0px !important;padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion shape=”square” active_section=”0″][vc_tta_section title=”Artificial Neural Network and Deep Learning” tab_id=”1585978718594-104bfddb-e75aed37-463b”][vc_column_text]

          • Installation
          • Creating Your First Graph and Running It in a Session
          • Managing Graphs
          • Lifecycle of a Node Value
          • Linear Regression with TensorFlow
          • Implementing Gradient Descent
          • Feeding Data to the Training Algorithm
          • Saving and Restoring Models
          • Visualizing the Graph and Training Curves Using TensorBoard
          • Name Scopes, Modularity
          • Sharing Variables

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Introduction to Artificial Neural Networks” tab_id=”1585978813314-09ce2f11-c3feed37-463b”][vc_column_text]

      • From Biological to Artificial Neurons
      • Training an MLP with TensorFlow’s High-Level API
      • Training a DNN Using Plain TensorFlow
      • Fine-Tuning Neural Network Hyperparameters

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Training Deep Neural Nets” tab_id=”1585978935735-151a8343-4f9ded37-463b”][vc_column_text]

      • Vanishing / Exploding Gradients Problems
      • Reusing Pretrained Layers
      • Faster Optimizers
      • Avoiding Overfitting Through Regularization
      • Practical Guidelines

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Convolutional and Recurrent Neural Networks” tab_id=”1585979021947-91efa1b3-7d2fed37-463b”][vc_column_text]

      • The Architecture of the Visual Cortex
      • Convolutional Layer
      • Pooling Layer
      • CNN Architectures
      • Recurrent Neurons
      • Basic RNNs in TensorFlow
      • Training RNNs, Deep RNNs
      • LSTM Cell
      • GRU Cell
      • Natural Language Processing

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Restricted Boltzmann Machine (RBM) and Autoencoders” tab_id=”1585979183174-5b49375e-743aed37-463b”][vc_column_text]

      • Efficient Data Representations
      • Performing PCA with an Undercomplete Linear Autoencoder
      • Stacked Autoencoders
      • Unsupervised Pretraining Using Stacked Autoencoders
      • DenoisingAutoencoders
      • Sparse Autoencoders
      • Variational Autoencoders

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Reinforcement Learning” tab_id=”1585979279884-8659ed3f-4c2ced37-463b”][vc_column_text]

      • Learning to Optimize RewardsPolicy Search
      • Introduction to OpenAI Gym
      • Neural Network Policies
      • Evaluating Actions: The Credit Assignment Problem, Policy Gradients, Markov Decision Processes, Temporal Difference Learning and Q-Learning, Learning to Play Ms. Pac-Man Using Deep Q-Learning

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Keras API” tab_id=”1585979391640-a48f2da7-6d5bed37-463b”][vc_column_text]

      • Define Keras
      • How to compose Models in Keras
      • Sequential Composition
      • Functional Composition
      • Predefined Neural Network Layers
      • What is Batch Normalization
      • Saving and Loading a model with Keras
      • Customizing the Training Process
      • Using TensorBoard with Keras
      • Use-Case Implementation with Keras

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”TFLearn API” tab_id=”1585979477802-3c3315e5-6093ed37-463b”][vc_column_text]

      • Define TFLearn
      • Composing Models in TFLearn
      • Sequential Composition
      • Functional Composition
      • Predefined Neural Network Layers
      • What is Batch Normalization
      • Saving and Loading a model with TFLearn
      • Customizing the Training Process
      • Using TensorBoard with TFLearn
      • Use-Case Implementation with TFLearn

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Final Project” tab_id=”1585979568810-eb6e2194-88f5ed37-463b”][vc_column_text]Final Project, The topics and scenario according to current trending subjects[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][vc_column width=”1/3″ css=”.vc_custom_1592203950516{padding-top: 0px !important;padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion active_section=”1″ css=”.vc_custom_1592203999996{padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;border-radius: 3px !important;}”][vc_tta_section title=”AIML Mon-Fri : 7AM to 9AM” tab_id=”1589198522866-6bb2012c-37a6c5fe-dccb0c7e-481bed37-463b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

      Next Batch Date :

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      Course Fee : ₹ 10,000.00

      Enroll Now

      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AIML Mon-Fri : 9AM to 11 AM” tab_id=”1589198522895-b56f417e-dc6dc5fe-dccb0c7e-481bed37-463b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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      Course Fee : ₹ 10,000.00
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      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AIML Mon-Fri : 2PM to 4PM” tab_id=”1589265111803-22a8ee0d-9e2cc5fe-dccb0c7e-481bed37-463b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

      Next Batch Date :
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      Course Fee : ₹ 18,000.00 ₹20,000
      Enroll Now

      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AIML Mon-Fri : 5PM to 7PM” tab_id=”1589265176998-bf30d316-f16fc5fe-dccb0c7e-481bed37-463b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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      Course Fee : ₹ 18,000.00 ₹20,000
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      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AIML Sat-Sun 9:AM to 11: AM” tab_id=”1589265179509-c8405d3c-5032c5fe-dccb0c7e-481bed37-463b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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      Course Fee : ₹ 18,000.00 ₹20,000
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      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column css=”.vc_custom_1592202992607{padding-right: 35px !important;padding-left: 35px !important;}”][vc_column_text]

      AWS – Amazon Web Services

      [/vc_column_text][vc_separator color=”custom” accent_color=”#006833″][/vc_column][/vc_row][vc_row][vc_column width=”1/2″ css=”.vc_custom_1592203008437{padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion shape=”square” active_section=”1″][vc_tta_section title=”Introduction To AWS” tab_id=”1589195458915-9bea221f-288c6267-0877f8fb-91f00925-e719″][vc_column_text]

        • Cloud Computing
        • Cloud deployment and service models
        • AWS Global Infrastructure and its benefits
        • AWS Services
        • Ways to access AWS Services

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Security Management In AWS” tab_id=”1589196186407-d206568c-4a1c6267-0877f8fb-91f00925-e719″][vc_column_text]

        • User management through Identity Access Management (IAM)
        • Various access policies across AWS Services
        • API keys service access
        • Best practices for IAM
        • Key Management Service
        • Access billing and create alerts on billing

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Amazon EC2″ tab_id=”1589196190857-f76ec9ee-54b56267-0877f8fb-91f00925-e719″][vc_column_text]

      • Start, stop and terminate an EC2 Instance
      • Security Group
      • AMI
      • VPC, ENI, Public and Private IP
      • Storage services
      • EBS and its types
      • EFS
      • Cost optimization

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Load Balancing, Auto-Scaling And Route 53″ tab_id=”1589196320531-38a91dfe-2b9a6267-0877f8fb-91f00925-e719″][vc_column_text]

      • Elastic Load Balancer and its types
      • Comparison of Classic, Network and Application Load Balancer
      • Auto-Scaling
      • Components of Auto-Scaling
      • Lifecycle of Auto-Scaling
      • Auto-Scaling policy
      • Working of Route 53
      • Various Routing Policies

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Database Services And Analytics” tab_id=”1589196422099-33991fca-27f96267-0877f8fb-91f00925-e719″][vc_column_text]

      • Amazon RDS and its benefits
      • Amazon Aurora
      • Amazon DynamoDB
      • ElastiCache
      • Amazon RedShift
      • AWS Kinesis

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Networking And Monitoring Services” tab_id=”1589347293904-5921966a-d904f8fb-91f00925-e719″][vc_column_text]

      • VPC – Benefits and Components
      • CIDR Notations
      • Network Access Control List v/s Security Groups
      • NAT – Network Address Translation
      • VPC peering
      • AWS CloudWatch
      • AWS CloudTrail
      • Trusted Advisor

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Applications Services And AWS Lambda” tab_id=”1590134320873-8858f3f6-ab060925-e719″][vc_column_text]

      • AWS Simple Email Service (SES)
      • AWS Simple Notification Service (SNS)
      • AWS Simple Queue Service (SQS)
      • AWS Simple Work Flow (SWF)
      • AWS Lambda

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”About AWS Architect Training?” tab_id=”1590134411614-417f3cd3-241f0925-e719″][vc_column_text]

      AWS holds 69% of the global market share in the cloud computing market. Some of the prominent companies who use AWS as their backbone are Kelloggs, Netflix, Adobe, Airbnb and General Electric. Irrespective of the size of an organization, everyone has started to adopt the cloud services in one way or the other, and AWS is the major player among the Cloud services industry.

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”Why should you go for AWS Architect Certification Training?” tab_id=”1590134439339-de125428-65370925-e719″][vc_column_text]

      AWS is leading the pack in terms of Cloud computing. They have been serving well in almost every aspect whether you are a web developer, database or system admin, Big data analyst, IoT developer etc. This AWS Architect Certification Training will help you to become AWS Certified Solutions Architect. Furthermore, you can also choose a career path aimed for AWS Solutions Architect, AWS Engineer, DevOps Engineer, Cloud Architect etc.

      [/vc_column_text][/vc_tta_section][vc_tta_section title=”What are the pre-requisites for AWS Architect Certification Training?” tab_id=”1590134472029-2969c361-01560925-e719″][vc_column_text]

      There are no specific prerequisites to enroll in the AWS Architect Certification course. Any candidate having basic knowledge of computers and programming can attend this training. Having prior working experience with AWS Services is recommended but not mandatory.

      [/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][vc_column width=”1/2″ css=”.vc_custom_1592203830332{padding-top: 0px !important;padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion style=”modern” active_section=”1″ css=”.vc_custom_1591434529171{padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;border-radius: 3px !important;}”][vc_tta_section title=”AWS Mon-Fri : 7AM to 9AM” tab_id=”1589198522866-6bb2012c-37a66267-0877f8fb-91f00925-e719″][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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      Course Fee : ₹ 20,000.00

      Enroll Now

      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AWS Mon-Fri : 9AM to 11 AM” tab_id=”1589198522895-b56f417e-dc6d6267-0877f8fb-91f00925-e719″][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

      Next Batch Date :
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      Course Fee : ₹ 20,000.00
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      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AWS Mon-Fri : 2PM to 4PM” tab_id=”1589265111803-22a8ee0d-9e2c6267-0877f8fb-91f00925-e719″][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

      Next Batch Date :
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      Course Fee : ₹ 45,000.00
      Enroll Now

      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AWS Mon-Fri : 5PM to 7PM” tab_id=”1589265176998-bf30d316-f16f6267-0877f8fb-91f00925-e719″][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

      Next Batch Date :
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      Course Fee : ₹ 45,000.00 
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      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”AWS Sat-Sun 9:AM to 11: AM” tab_id=”1589265179509-c8405d3c-50326267-0877f8fb-91f00925-e719″][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

      Next Batch Date :
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      Course Fee : ₹ 20,000.00
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      [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column css=”.vc_custom_1592203584932{padding-right: 35px !important;padding-left: 35px !important;}”][vc_column_text]

      DevOps

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    [/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”1/2″ css=”.vc_custom_1592203843108{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 35px !important;padding-bottom: 0px !important;padding-left: 35px !important;border-radius: 2px !important;}”][vc_tta_accordion active_section=”1″ css=”.vc_custom_1589267148379{padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;border-radius: 3px !important;}”][vc_tta_section title=”DEVOPS Mon-Fri : 7AM to 9AM” tab_id=”1589198522866-6bb2012c-37a66267-08777735-039bcaef-175b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

    Next Batch Date :

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    Course Fee : ₹ 30,000.00

    Enroll Now

    [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”DEVOPS Mon-Fri : 9AM to 11 AM” tab_id=”1589198522895-b56f417e-dc6d6267-08777735-039bcaef-175b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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    Course Fee : ₹ 30,000.00
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    [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”DEVOPS Mon-Fri : 2PM to 4PM” tab_id=”1589265111803-22a8ee0d-9e2c6267-08777735-039bcaef-175b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

    Next Batch Date :
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    Course Fee : ₹ 30,000.00
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    [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”DEVOPS Mon-Fri : 5PM to 7PM” tab_id=”1589265176998-bf30d316-f16f6267-08777735-039bcaef-175b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

    Next Batch Date :
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    Course Fee : ₹ 30,000.00 
    Enroll Now

    [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”DEVOPS Sat-Sun 9:AM to 11: AM” tab_id=”1589265179509-c8405d3c-50326267-08777735-039bcaef-175b”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

    Next Batch Date :
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    Course Fee : ₹ 45,000.00
    Enroll Now

    [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][/vc_tta_accordion][/vc_column][vc_column width=”1/2″ css=”.vc_custom_1592203838148{padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion active_section=”0″][vc_tta_section title=”Overview of DevOps” tab_id=”1589195458889-e3eed234-24f96267-08777735-039bcaef-175b”][vc_column_text]Learning Objective: In this module, you will be introduced to the DevOps environment.

    Topics:

    • Why DevOps?
    • What is DevOps?
    • DevOps Market Trends
    • DevOps Engineer Skills
    • DevOps Delivery Pipeline
    • DevOps Ecosystem

    Hands On:

    • ST Use Case

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Version Control with Git” tab_id=”1589195458915-9bea221f-288c6267-08777735-039bcaef-175b”][vc_column_text]

    • Learning Objective: In this module, you will gain the insights of the functionalities and version controlling using Git.

      Topics:

      • What is version control?
      • What is Git?
      • Why Git for your organization?
      • Install Git
      • Common commands in Git
      • Working with Remote Repositories

      Hands On:

      • GIT Installation, Version Control, Working with remote repository

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Git, Jenkins & Maven Integration” tab_id=”1589196186407-d206568c-4a1c6267-08777735-039bcaef-175b”][vc_column_text]

    • Learning Objective: In this module, you will learn about the different actions performed through Git and will be introduced to Jenkins and Maven.

      Topics:

      • Branching and Merging in Git
      • Git workflows
      • Git cheat sheet
      • What is CI?
      • Why CI is Required?
      • Introduction to Jenkins (With Architecture)
      • Introduction to Maven

      Hands On:

      • Branching and merging, Stashing, rebasing, reverting and resetting
      • Build and automation of Test using Jenkins and Maven

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Continuous Integration using Jenkins” tab_id=”1589196190857-f76ec9ee-54b56267-08777735-039bcaef-175b”][vc_column_text]Learning Objective: In this module, you will learn how to perform Continuous Integration using Jenkins by building and automating test cases using Maven.

    Topics:

    • Jenkins Management
    • Adding a slave node to Jenkins
    • Building Delivery Pipeline
    • Pipeline as a Code
    • Implementation of Jenkins in the Edureka Project

    Hands On:

    • Build the pipeline of jobs using Jenkins
    • Create a pipeline script to deploy an application over the tomcat server

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Continuous Deployment: Containerization with Docker” tab_id=”1589196320531-38a91dfe-2b9a6267-08777735-039bcaef-175b”][vc_column_text]Learning Objective: This module introduces Docker to learners, the core concepts and technology behind Docker. Learn in detail about container and various operations performed on it.

    Topics:

    • Shipping Transportation Challenges
    • Introducing Docker
    • Understanding images and containers
    • Running Hello World in Docker
    • Introduction to Container
    • Container Life Cycle
    • Sharing and Copying
    • Base Image
    • Docker File
    • Working with containers
    • Publishing Image on Docker Hub

    Hands On:

    • Create and Implement Docker images and containers

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Containerization with Docker: Ecosystem and Networking” tab_id=”1589196422099-33991fca-27f96267-08777735-039bcaef-175b”][vc_column_text]

    Learning Objective: In this module, you will learn to integrate different containers using Docker.

    Topics:

    • Introduction to Docker Ecosystem
    • Docker Compose
    • Docker Swarm
    • Managing Containers
    • Running Containers
    • Introduction to Docker Networking
    • Network Types
    • Docker Container Networking
    • Implementation of Docker in the Edureka Project

    Hands On:

    • Use Docker Compose to create a WordPress site
    • Start Containers on a Cluster with Docker Swarm
    • Deploy a multi-tier application over a cluster
    • Scale an application

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Continuous Deployment: Configuration Management with Puppet” tab_id=”1589347293904-5921966a-d9047735-039bcaef-175b”][vc_column_text]

    • Learning Objective: In this module, you will learn to install and configure Puppet. Additionally, understand the master-agent architecture in Puppet.

      Topics:

      • Introduction to Puppet
      • Puppet Installation
      • Puppet Configuration
      • Puppet Master and Agent Setup
      • Puppet Module
      • Node Classification
      • Puppet Environment
      • Puppet Classes
      • Automation & Reporting

      Hands On:

      • Install and configure Puppet
      • Configure and implement servers using Puppet

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Configuration Management with Ansible” tab_id=”1590142268196-a84bb4d9-b8b3caef-175b”][vc_column_text]

    • Learning Objective: In this module, you will learn to install Ansible and configure Ansible roles. You will also learn to write playbooks and finally execute ad-commands using Ansible.

      Topics:

      • Introduction to Ansible
      • Ansible Installation
      • Configuring Ansible Roles
      • Write Playbooks
      • Executing adhoc command

      Hands On:

      • Installing Ansible
      • Configuring Ansible Role
      • Writing Playbooks
      • Executing adhoc commands

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Containerization using Kubernetes” tab_id=”1590142340375-970a1735-a2b5caef-175b”][vc_column_text]

    • Learning Objective: In this module, you will learn the basics of Kubernetes and its integration with Docker.

      Topics:

      • Revisiting Kubernetes Cluster Architecture
      • Spinning up a Kubernetes Cluster on Ubuntu VMs
      • Exploring your Cluster
      • Understanding YAML
      • Creating a Deployment in Kubernetes using YAML
      • Creating a Service in Kubernetes
      • Installing Kubernetes Dashboard
      • Deploying an App using Dashboard
      • Using Rolling Updates in Kubernetes
      • Containers and Container Orchestration
      • Introduction to Kubernetes

      Hands On:

      • Setting up the Kubernetes Cluster
      • Accessing your application through service
      • Deploying an app through Kubernetes Dashboard
      • Rolling updates in Kubernetes

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Continuous Monitoring with Nagios” tab_id=”1590142384648-242fa48f-f5cbcaef-175b”][vc_column_text]Learning Objective: Learn how to continuously monitor your tasks using various plugins and implementing Nagios Commands.

    Topics:

    • Introduction to Continuous Monitoring
    • Introduction to Nagios
    • Installing Nagios
    • Nagios Plugins(NRPE) and Objects
    • Nagios Commands and Notification

    Hands On:

    • Installing Nagios
    • Monitoring of different servers using Nagios

    [/vc_column_text][/vc_tta_section][vc_tta_section title=”Introduction to DevOps on Cloud” tab_id=”1590142418169-a4d74d78-1bf6caef-175b”][vc_column_text]Learning Objective: Learn about various cloud services and service providers and get an idea of how to implement DevOps using AWS.

    Topics:

    • Why Cloud?
    • Introduction to Cloud Computing
    • Why DevOps on Cloud?
    • Introduction to AWS
    • Various AWS services
    • DevOps using AWS

    [/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column css=”.vc_custom_1592204601533{padding-right: 35px !important;padding-left: 35px !important;}”][vc_column_text]

    Big Data Hadoop

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[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”1/2″ css=”.vc_custom_1592204785534{padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion shape=”square” active_section=”1″][vc_tta_section title=”Linux Ubuntu CentOS and Java” tab_id=”1585993651443-56a0236e-14ff12b9-097d”][vc_column_text]

  • Linux (Ubuntu/Centos) – Tips and Tricks
  • Basic(core) Java Programming Concepts – OOPS

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Understanding Big Data and Hadoop” tab_id=”1585994078757-34c4b090-1fe112b9-097d”][vc_column_text]

  • Learning Objectives: In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works.
  • Topics:
    • Introduction to Big Data & Big Data Challenges
    • Limitations & Solutions of Big Data Architecture
    • Hadoop & its Features
    • Hadoop Ecosystem
    • Hadoop 2.x Core Components
    • Hadoop Storage: HDFS (Hadoop Distributed File System)
    • Hadoop Processing: MapReduce Framework
    • Different Hadoop Distributions

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Understanding the Cluster” tab_id=”1585994180684-679c3856-543712b9-097d”][vc_column_text]

  • Hadoop 2.x Architecture
  • Typical workflow
  • HDFS Commands
  • Writing files to HDFS
  • Reading files from HDFS
  • Rack awareness
  • Hadoop daemons

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Hadoop MapReduce Framework” tab_id=”1585994508792-ff974753-29b212b9-097d”][vc_column_text]

  • Before MapReduce
  • MapReduce overview
  • Word count problem
  • Word count flow and solution
  • MapReduce flow

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Developing the MapReduce Application” tab_id=”1585994572341-270dcd26-4e2d12b9-097d”][vc_column_text]

  • Data Types
  • File Formats
  • Explain the Driver, Mapper and Reducer code
  • Configuring development environment – Eclipse
  • Writing unit test
  • Running locally
  • Running on cluster
  • Hands on exercises

[/vc_column_text][/vc_tta_section][vc_tta_section title=”How MapReduce Works” tab_id=”1585994675554-3d0273b6-c4af12b9-097d”][vc_column_text]

  • Anatomy of MapReduce job run
  • Job submission
  • Job initialization
  • Task assignment
  • Job completion
  • Job scheduling
  • Job failures
  • Shuffle and sort
  • Hands on exercises

[/vc_column_text][/vc_tta_section][vc_tta_section title=”MapReduce Types and Formats” tab_id=”1585994751470-c3403794-ddaa12b9-097d”][vc_column_text]

  • File Formats – Sequence Files
  • Compression Techniques
  • Input Formats – Input splits & records, text input, binary input
  • Output Formats – text output, binary output, lazy output
  • Hands on exercises

[/vc_column_text][/vc_tta_section][vc_tta_section title=”MapReduce Features” tab_id=”1585994871013-fcb0fda1-e0de12b9-097d”][vc_column_text]

  • Counters
  • Side data distribution
  • MapReduce combiner
  • MapReduce partitioner
  • MapReduce distributed cache
  • Hands exercises

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Apache Hive” tab_id=”1585994961770-d438e722-630612b9-097d”][vc_column_text]

  • Hive Architecture
  • Types of Metastore
  • Hive Data Types
  • HiveQL
  • File Formats – Parquet, ORC, Sequence and Avro Files Comparison
  • Partitioning & Bucketing
  • Hive JDBC Client
  • Hive UDFs
  • Hive Serdes
  • Hive on Tez
  • Hands-on exercises
  • Integration with Tableau

[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][vc_column width=”1/2″ css=”.vc_custom_1592204793803{padding-right: 35px !important;padding-left: 35px !important;}”][vc_tta_accordion shape=”square” active_section=”1″][vc_tta_section title=”Apache Flume” tab_id=”1591438368637-c4e206e9-046d12b9-097d”][vc_column_text]

  • Flume Architecture
  • Flume Agent Setup
  • Types of sources, channels, sinks Multi Agent Flow
  • Hands-on exercises

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Apache Pig” tab_id=”1591438368253-99ef12ce-ff2f12b9-097d”][vc_column_text]

  • Introduction to Apache Pig
  • MapReduce vs Pig
  • Pig Components & Pig Execution
  • Pig Data Types & Data Models in Pig
  • Pig Latin Programs
  • Shell and Utility Commands
  • Pig UDF & Pig Streaming
  • Testing Pig scripts with Punit
  • Aviation use-case in PIG
  • Pig Demo of Healthcare Dataset

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Apache HBase” tab_id=”1591438368376-87a3de92-a23912b9-097d”][vc_column_text]

  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Hive Data Loading Techniques
  • Apache Zookeeper Introduction
  • ZooKeeper Data Model
  • Zookeeper Service
  • HBase Bulk Loading
  • Getting and Inserting Data
  • HBase Filters

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Apache Sqoop” tab_id=”1591438368505-e760fa00-c3e912b9-097d”][vc_column_text]

  • Sqoop Architecture
  • Sqoop Import Command Arguments, Incremental Import
  • Sqoop Export
  • Sqoop Jobs
  • Hands-on exercises

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Apache Spark” tab_id=”1591438368768-77aa703e-49ff12b9-097d”][vc_column_text]

  • Spark Basics
  • What is Apache Spark?
  • Spark Installation
  • Spark Configuration
  • Spark Context
  • Using Spark Shell
  • Resilient Distributed Datasets (RDDs) – Features, Partitions, Tuning Parallelism
  • Functional Programming with Spark
  • ark Basics
  • What is Apache Spark?
  • Spark Installation
  • Spark Configuration
  • Spark Context
  • Using Spark Shell
  • Resilient Distributed Datasets (RDDs) – Features, Partitions, Tuning Parallelism
  • Functional Programming with Spark

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Apache Oozie” tab_id=”1591438368895-dc678fde-4eed12b9-097d”][vc_column_text]

  • Oozie
  • Oozie Components
  • Oozie Workflow
  • Scheduling Jobs with Oozie Scheduler
  • Demo of Oozie Workflow
  • Oozie Coordinator
  • Oozie Commands
  • Oozie Web Console
  • Oozie for MapReduce
  • Combining flow of MapReduce Jobs
  • Hive in Oozie
  • Hadoop Project Demo
  • Hadoop Talend Integration

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Certification Project” tab_id=”1591438369026-6a2b0c3b-38ea12b9-097d”][vc_column_text]

  • Log File Analysis covering Flume, HDFS, MR/Pig, Hive, Tableau
  • Crime Data Analysis Covering Oozie, Sqoop, HDFS, Hive, HBase, RestFul Client.
  • Hadoop Use Cases in Insurance Domain
  • Hadoop Use Cases in Retail Domain

[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column css=”.vc_custom_1592204631781{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-right: 35px !important;padding-bottom: 0px !important;padding-left: 35px !important;border-radius: 2px !important;}”][vc_tta_accordion style=”modern” active_section=”1″ css=”.vc_custom_1592032546743{padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;border-radius: 3px !important;}”][vc_tta_section title=”BD Mon-Fri : 7AM to 9AM” tab_id=”1589198522866-6bb2012c-37a66267-0877bd92-6de212b9-097d”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

Next Batch Date :

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Course Fee : ₹ 50,000.00

Enroll Now

[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”BD Mon-Fri : 9AM to 11 AM” tab_id=”1589198522895-b56f417e-dc6d6267-0877bd92-6de212b9-097d”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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Course Fee : ₹ 50,000.00
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[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”BD Mon-Fri : 2PM to 4PM” tab_id=”1589265111803-22a8ee0d-9e2c6267-0877bd92-6de212b9-097d”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

Next Batch Date :
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Course Fee : ₹ 50,000.00
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[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”BD Mon-Fri : 5PM to 7PM” tab_id=”1589265176998-bf30d316-f16f6267-0877bd92-6de212b9-097d”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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Course Fee : ₹ 50,000.00 
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[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][vc_tta_section title=”BD Sat-Sun 9:AM to 11: AM” tab_id=”1589265179509-c8405d3c-50326267-0877bd92-6de212b9-097d”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

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Course Fee : ₹ 50,000.00
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[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column width=”1/3″][/vc_column][vc_column width=”1/3″ css=”.vc_custom_1592205643867{padding-right: 35px !important;padding-left: 35px !important;}”]




    [/vc_column][vc_column width=”1/3″][/vc_column][/vc_row][vc_row][vc_column width=”1/2″ css=”.vc_custom_1592205681291{padding-right: 35px !important;padding-left: 35px !important;}”][vc_single_image image=”4631″ img_size=”full” alignment=”center” css_animation=”fadeInDown”][/vc_column][vc_column width=”1/2″ css=”.vc_custom_1592205687442{padding-right: 35px !important;padding-left: 35px !important;}”][vc_empty_space height=”105px”][vc_custom_heading text=”Placements” font_container=”tag:h2|text_align:left|color:%23494949″ google_fonts=”font_family:Roboto%3A100%2C100italic%2C300%2C300italic%2Cregular%2Citalic%2C500%2C500italic%2C700%2C700italic%2C900%2C900italic|font_style:500%20bold%20regular%3A500%3Anormal”][vc_custom_heading text=”More than 896+ Company Supported 164M invested on core placements through” font_container=”tag:h4|text_align:left|color:%23919191″ google_fonts=”font_family:Roboto%3A100%2C100italic%2C300%2C300italic%2Cregular%2Citalic%2C500%2C500italic%2C700%2C700italic%2C900%2C900italic|font_style:400%20regular%3A400%3Anormal”][vc_separator color=”custom” accent_color=”#107b10″][vc_single_image image=”1999″ img_size=”large” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeIn” link=”https://placementshala.com/”][/vc_column][/vc_row][vc_row css=”.vc_custom_1592046181649{margin-top: -5px !important;}”][vc_column css=”.vc_custom_1592205670869{padding-right: 35px !important;padding-left: 35px !important;}”][vc_custom_heading text=”Our partners” font_container=”tag:h3|text_align:center|color:%237a7a7a” google_fonts=”font_family:Roboto%3A100%2C100italic%2C300%2C300italic%2Cregular%2Citalic%2C500%2C500italic%2C700%2C700italic%2C900%2C900italic|font_style:400%20regular%3A400%3Anormal” css_animation=”fadeIn”][vc_separator color=”custom” style=”dashed” accent_color=”#107b10″][vc_row_inner][vc_column_inner width=”1/3″][vc_single_image image=”3297″ img_size=”medium”][vc_single_image image=”3304″ img_size=”medium”][/vc_column_inner][vc_column_inner width=”1/3″][vc_single_image image=”3302″ img_size=”medium”][vc_single_image image=”3300″ img_size=”medium”][/vc_column_inner][vc_column_inner width=”1/3″][vc_single_image image=”3298″ img_size=”medium”][vc_single_image image=”3303″ img_size=”medium”][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row]

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