• Universal  PB-Scale 40-Node 2TB AI Deep Learning Big Data Cloud Boot Camp

Description

- This is for a group of 100 in any city in any country

- We fly to your city, whether your city is covered by our 300+ city list globally or not

- You can either be our customer or our partner, if the latter, once you purchase all 30 tickets, provide venue+food+drinks for all 30 attendees at your city, we will send instructor there, and half of the total boot camp revenue goes to you as one-time partership rewards

- Can pick only Cloud-based topic or Container-based topic (Please contact us if you prefer the latter, as the former is the default)

We have 6 boot camps you can choose from, here is one:

Day I : Lecture Session (For Detail, please refer to the agenda below)

Day II: Hands-on Session I
Set Up & Test Drive Your Own AI Big Data Google Cloud Cluster (Hadoop, Spark, Kafka, HDFS, Zookeeper, Tensorflow, Keras) : Using Spark/Hadoop for Word Counting & Sentiment Analysis (for Advanced Attendees only) on 2TB Twitter Data

Hands-on Session II
Build, Train & Serve Your Own AI Application: Handwriting Recognition or ChatBot on 2TB Data (for Advanced Attendees only) Using Python in Your Own Scalable AI Big Data Google Cloud/AWS Cluste

You will work (Yes, build & operate) on a 40-node/4-node (as you prefer) cluster with 2TB big data in total being capable to expand to PB-Scale during this boot camp

You must purchase your ticket at https://www.hwswworld.com/index.php?route=product/product&path=139&product_id=137. This is a paid event, no refund will be provided


Are you worrying about you are not migrating to new kids in the block like Scala,Clojure,Go,Haskell from C++, Java, Python or even C, Perl, PHP, Ruby? Do you know the real value of Agile, Scrum,Pair Programming, are they indeed boosting your productivity or just another silver bullet or golden bullshit?

Fog Computing/Cloud Computing, Serverless Computing/Cloud-Native Computing, BlockChain/Bitcoin, Lambda Architecture, Cloud-Native Microservices-oriented Architecture/Monolithic architecture, Immutable Datalake, Real-time Data Pipeline, Container/VM/Bare Metal, IaaS/PaaS/SaaS, Machine Learning/Deep Learning, Supervised Learning/Unsupervised Learning, Big Data/Deep Learning, Hadoop/Spark, YARN/Mesos, Docker Engine/Kubernetes, OpenStack, SQL/NoSQL/HDFS, GUI/CLI/API, Hyper-scale/Hyper-convergence, SDN/NFV, GPU/CPU/TPU, File Storage/Object Storage/Block Storage, and much more. So are you feeling you are lost in the jungle of fast-pacing tech frontier? We Are Here to Help You to Get Out of It and Lead instead of Follow It!

You go to a lot of trainings and/or meetups, whether free or not, expensive or cheap, ALL of those are either marketing fluff, sales pitches, or short of global pictures and great details, no insight, let alone foresight. Our 2-day Boot Camp is radically different, vendor agnostic, no strings attached, technically deep and wide, lots of hands-on, offering you both macro & micro perspective on the state-of-the-art of AI Big Data Cloud Industry with hindsight, insight and foresight!

You must know DevOps, the merge of Software Developer and System Administrators in Cloud Era, but do you know the further merge of Data Scientist and Devops in AI Big Data Cloud Era - we call it DataDevOps?

It does not matter whether you are at senior-level or entry-level in Software Development/System Administration/Data Science/AI, as our advanced boot camps are brand new, with so called leap-frog effect, you are lucky to leap forward bypassing legacy technologies. The goal of this boot camp is to build & operate your own cluster/platform for big data-enabled AI in cloud, and we will provide you sample code in Python for Hadoop & TensorFlow and/or Scala for Spark (if you are new to them) for you to proceed and enhance and expand in building your AI applications, your mileage may vary depending on your background and experience, every attendee will benefit significantly

We Don't Give You a Fish, Instead We Teach You to Fish

Topics include:

How to identify potential business use cases in leveraging big data container AI technology

How to obtain, clean, and combine disparate data sources to create a data pipeline for data lake
What Machine-Learning (Shallow Learning) & Deep Learning technique to use for a particular data science project

How to combines ETL, batch analytics, real-time stream analysis with machine learning, deep learning, and visualizations through both data pipeline & data lakes by using Hadoop & Spark

Understand & master TensorFlow's and Keras' fundamentals & capabilities

Explore TensorBoard to debug and optimize your own Neural Network Architectures, train, test, validate & serve your models for real-life Deep Learning applications at Scale

Agenda (Subject to Change at Anytime without Notice) - 50% Lecture, 50% Hands-On, Vendor Agnostic, No Strings Attached, You Working on a Cluster instead of only an Instance in cloud, True PB-Scale Depends on Your Own Cloud Budget (could be outstanding) as opposed to Free Trial Limited Budget

Day I: Lecture Session
1. Elastic Cloud Computing and Scalabe Big Data AI: What, Why and How?

2. Deep Dive into Public/Private/Hybrid Cloud Infrastructure: Elastic/Plastic Cloud; Bare Metal/VM/Container; IaaS/PaaS/SaaS; Hyper-Scale/Hyper-Convergence; From Linux Kernel to Distributed System's CAP Theorem; OpenStack as the De facto Private Cloud; Capacity Planning & Auto-scaling Challenges of Cloud; Micro-service-based Immutable Architecture

3. Deep Dive into Big Data Technology Stack: Nature of Big Data - Structural/Unstructural; Hot/Warm/Cold; Machine/Human; Text/Numerical, SQL(ACID)/NoSQL(BASE); Batch(Hindsight)/Interactive (Insight)/Streaming(Foresight); Data Pipeline & Datalake; Hadoop/Spark/Kafka/HDFS/HBase/HIVE/ZooKeeper

4. Google/AWS Cloud|Docker/CoreOS Container In-Depth: Computation/Storage/Networking Models

5. Practical Machine Learning In-Depth: Feature Engineering, From Regression to Classification, 5 Tribes of Machine Learning: Symbolists with Inverse Deduction of Symbolic Logic, Connectionists with Backpropagation of Neural Networks, Evolutionaries with Genetic Programming, Bayesians with Probabilistic Inference in Statistics, Analogizers with Support Vector Machines; Supervised Learning (Classification/Regression), Unsupervised Learning (Clustering), Semi-Supervised Learning; Data Ingestion & Its Challenges, Data Cleansing/Prep-processing; Training Set/Testing Set Partitioning; Feature Engineering (Feature Extraction/Selection/Construction/Learning, Dimension Reduction); Model Building/Evaluation/Deployment|Serving/Scaling|Reduction/Optimization with Prediction Feedbacks

6. Practical Deep-Learning-based AI In-Depth: Weak/Special AI vs Strong/General AI; Key Components of AI: Knowledge Representation, Deduction, Reasoning, NLP, Planning, Learning,Perception, Sensing & Actuation, Goals & Problem Solving, Consciousness & Creativity; Rectangle of Deep Learning, Shallow Learning, Supervised Learning, and Unsupervised Learning; Basic Multi-layer Architecture of Deep Forward/Convolutional Neural Networks(FNN/CNN)/Deep Recurrent Neural Networks(RNN)/Long short-term memory(LSTM): Input/Hidden/Output Layers, Weights, Biases, Activation Function, Feedback Loops, Backpropagation from Automatic Differentiation and Stochastic Gradient Descent (SGD); Convex/Non-Convex Optimization; Ways of Training Deep Neural Networks: Data/Model Parallelism, Synchronous/Asynchronous Training, Variants of SGD, Gradient Vanishing/Explotion, Loss Function Minimization/Optimization with Dropout/Regulariztion & Batch Normalization & Learning Rate & Training Steps, and Unsupervised Pre-training (Autoencoder etc.); Deep Learning Applications - What's Fit and What's Not?: Deep Structures, Unusual RNN, Huge Models

7. Embracing Paradigm Shifting from Algorithm-based Rigid Computing to Model-based Big Data Cloud IoT-powered Deep Learning AI for Real-Life Problem Solving: What, Why and How? - Problem Formulation, Data Gathering, Algorithmic & Neural Network Architecture Selection, Hyperparameter Turning, Deep Learning, Cross Validation, and Model Serving

8. Tensorflow In-Depth: The Origin, Fundamental Concepts (Tensors/Data Flow Graph & More), Historical Development & Theoretical Foundation; Two Major Deep Learning Models and Their TensorFlow Implementation: Convolutional Neural Network (CNN), Recurrent Neural Network (RNN); GPU/Tensorflow vs. CPU/NumPy; TensorFlow vs Other Open Source Deep Learning Packages: Torch, Caffe, MXNet, Theano: Programming vs. Configuration; Tackling Deep Learning Blackbox Puzzle with TensorBoard

Day II: Hands-on Session I
Set Up & Test Drive Your Own AI Big Data Google Cloud Cluster (Hadoop, Spark, Kafka, HDFS, Zookeeper, Tensorflow, Keras) : Using Spark/Hadoop for Word Counting & Sentiment Analysis (for Advanced Attendees only) on 2TB Twitter Data

Hands-on Session II
Build, Train & Serve Your Own AI Application: Handwriting Recognition or ChatBot on 2TB Data (for Advanced Attendees only) Using Python in Your Own Scalable AI Big Data Google Cloud/AWS Cluste
r

Who Should Attend:

CEO, SVP/VP, C-Level, Director, Global Head, Manager, Decision-makers, Business Executives, Analysts, Project managers, Analytics managers, Data Scientist, Statistian, Sales, Marketing, human resources, Engineers, Developers, Architects, Networking specialists, Students, Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff, Delivery Manager and other line-of-business executives

Statisticians, Big Data Engineer, Data Scientists, Business Intelligence professionals, Teaching Staffs, Delivery Managers, Product Managers, Cloud Operaters, Devops, System admins, Business Analysts, Financial Analysts, Solution Architects, Pre-sales, Sales, Post-Sales, Marketers, Project Managers, and Big Data Cloud AI Enthusiasts.

Hands-on Requirements:
1) Each student should bring their own 64bit Linux-based or Windows with Putty installed laptop (no VM required as we are using cloud) with Minimum 2GB RAM and Free 200GB hard disk with administrative/root privileges and wireless connectivity.

2) Google/ Cloud account ready

3) It's better but not necessary to bring your own WiFi hotspot as we have wifi for you

4) Bash & Python skills welcome but not required

For Corporates, why you should send your employees to our Unique Second-to-None AI Big Data Cloud Boot Camp?
- Front-runner Practitioner in AI Big Data Cloud Automation with rich industry experience provide the training
- Be capable and willing to customize our boot camp to meet your corporates' specific needs
- Detail-oriented, heavy hands-on, you can send a team or invite us for a private onsite group boot camp
- Potential partnership opportunities

For Individuals, why you should sign up our Unique Second-to-None AI Big Data Cloud Boot Camp even without a corporate sponsorship?
- Front-runner Practitioner in AI Big Data Cloud Automation with rich industry experience provide the training
- Be capable and willing to personalize our boot camp to match your individual background and interests during hands-on sessions
- Detail-oriented, heavy hands-on, you set your pace, make your own choice
- Great networking and career advance opportunities

Follow our Real-time AI Deep Learning Big Data Cloud Thinktank @ClouDatAI


Payment Details

You do not need to register and login, instead we allow you to shop as a guest with guest login. What you need to provide is just your billing address and your basic information, whether you pay with credit card or through PayPal, all of your required critical financial information to complete transaction will be handled by PayPal at www.paypal.com, which accepts payments in PayPal (by default), major credit cards (Visa, MasterCard, American Express and Discover), and ATM/debit cards. If you click on the Non-PayPal option button when you are being directed to PayPal site, totally secure and hassle free! 


Refund Policy

Refund is not provided

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Universal PB-Scale 40-Node 2TB AI Deep Learning Big Data Cloud Boot Camp

  • Brand: Cloudata Inc
  • Product Code: UniversalAIBigDataCloudBootCamp
  • Availability: 100
  • $499.97


This product has a minimum quantity of 100

Tags: Universal Deep Learning of PB-Scale AI Big Data Cloud w/t TB HandsOn Boot Camp: Build & Operate Data Pipeline & Data Lake in Cloud/Container w/t TensorFlow, Keras, Spark & Hadoop in GUI/CLI/API