@ Frontier AI Big Data Cloud Frontier Boot Camp
$399.97 – $449.97
@ Frontier AI Big Data Cloud Frontier Boot Camp

@ Frontier AI Big Data Cloud Frontier Boot Camp

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Embassy Suites by Hilton Santa Clara Silicon Valley

2885 Lakeside Drive

Santa Clara, CA 95054

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Description

AI Boot Camp Overview Slides based on 2/18 talk at Hacker Dojo

Program Highlight

- Fundamentals of Elastic Cloud Computing (both Public Cloud & Private Container Cluster) Theory & Practice
- Fundamentals of Machine Learning and Deep Learning Theory & Practice
- How to Formulate and Solve a Problem with Scalable Deep Learning Technique
- How to Set up Private Container Cluster for Scalable Deep Learning
- Build, Train and Serve a Convolutional Neural Net (CNN) Model or Recurrent Neural Net (RNN) Model on Private Container for Real-life Application

Instructor's Profile: Forbes Z, Chief Learning Officer at Cloudata Inc, 20-yr industry experience on Big Data Cloud IoT AI Automation, invited speaker at CloudExpo, Google Devfest, Silicon Valley Code Camp among other leading events

Agenda (Subject to Change at Anytime without Notice) - 50% Lecture, 50% Hands-On, Vendor Neutral, No Strings Attached

Day 1
8:00 AM - 8:50AM Elastic Cloud Computing and Scalabe Big Data AI: What, Why and How?

9:00 AM - 9:50AM 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

10:00 AM - 10:50AM 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/HBas/HIVE

11:00 AM - 11:50AM Docker Container In-Depth: Computation/Storage/Networking Models

12:00 PM - 1:00PM Lunch Break (Lunch included, Veggie option available)

1:00 PM - 5PM Hands-on: I Set Up, Monitor & Turn Your Own Scalable Big Data AI Cluster (Hadoop, Spark, Kafka, HDFS, HBase, HIVE, Tensorflow) with Private Container

Day 2
8:00 AM - 8:50AM 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

9:00 AM - 9:50AM 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; Basic Multi-layer Architecture of Deep Forward Neural Networks(FNN/CNN)/ Deep Recurrent Neural Networks(RNN), 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, Dropout, Batch Normalization and Unsupervised Pre-training; Deep Learning Applications - What's Fit and What's Not?: Speech Recognition, Machine Vision, Machine Translation, Information Retrieval & NLP

10:00 AM - 10:50PM 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, Architecture Selection, and Deep Learning

11:00 AM - 11:50AM 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, Neon, Paddle, Theano: Programming vs. Configuration

12:00 PM - 1:00PM Lunch Break (Lunch included, Veggie option available)

1:00PM - 5PM Hands-on II: Architect, Design & Develop (Modeling/Training -> Inferencing/Testing) Your Own Portable AI Application Using Python in Your Own Scalable Big Data AI Cluster (Hadoop, Spark, Kafka, HBase, HIVE, Tensorflow) with Private Docker Container Cluster

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 8GB RAM and Free 0.5TB hard disk with administrative/root privileges and wireless connectivity.

2) Pre-installed Docker in laptop
3) Own wireless connection (hot spot)

4) Google Cloud trial account ready



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Embassy Suites by Hilton Santa Clara Silicon Valley

2885 Lakeside Drive

Santa Clara, CA 95054

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