Internet of Things

IOT patner- Cloudindojo
Programme Name

“Professional Certification in Internet of Things (IoT)”

About IoT

The Internet of Things (IoT) refers to an ecosystem of connected physical objects that are accessible through the internet. IoT is one of the most advanced and emerging technologies that is paving the way for a new sphere in connectivity and intelligence with profound implications for our society and economy. Internet of Things guarantees to transform a wide range of fields. IoT gadgets are becoming a part of the mainstream electronics culture and individuals are adopting smart devices into their homes faster than ever. There is huge opportunity in the IoT space, and it will only continue to surge as technology improves.

Programme Structure

9 months of intensive Internet of Things training covering the below Programme modules

IoT Course Modules:
  • Architecture of Internet of Things
  • Various layers of IoT infrastructure
  • IoT embedded systems and micro-controllers
  • Working with Big Data and deploying Data Analytics
  • Arduino and Raspberry Pi interface
  • Controlling physical IoT devices and communication protocols
  • Programming for IoT components and systems
  • IoT support, security, testing, compliance and data management
  • Integration of IoT with AI
Programme Highlights
  • Partnering with Industrial Experts
  • Module design as per Industry Standards
  • Seminar/Workshops by eminent technology experts
  • 15+ Real time mini projects & 1 capstone project
  • Live experimentation and self-practice on dedicated IOT Hardware
iot training
Expert Programme Faculty profiles
An entrepreneur, technology enthusiast, mentor, a post graduate in Master of Computer Applications (MCA) and a certified Deep Learning Specialist. Has 16+ years of experience including 6 years in the US; designed, architected, and developed many software products and applications across different domains such as health care, government, publishing industries.

Certifications:

Deep Learning Specialist from Coursera (Andrew Ng)

Technology & Architecture:
  • Designed many web, mobile applications involving versatile technologies such as Java, .Net, PHP, Android, iOS, MySql, MongoDB.
  • Implemented cutting edge technologies such as Data Science, Machine Learning, Natural Language Processing, Information Retrieval and Deep Learning.
  • Architected applications and provided end-to-end solutions.
l venkata rama raju

L. Venkata Rama Raju

Chief Mentor

Skills and abilities:
  • Conducted seminars and workshops in prestigious institutions such as MANUU.
  • Conducted corporate/professional training for around 500+ professionals and students in AI.
  • Mentored junior, senior resources in areas such as client coordination, project planning, design thinking and requirement analysis.
  • Statistical Concepts: Central Tendency (mean, median, mode), Variance, Standard Deviation, Z-Score, Covariance, Correlation, Skewness, Kurtosis, Central Limit Theorem, Sampling distribution of means, Statistical significance, Confidence Interval, P-Value, Chi-Square test, ANOVA.
  • Mathematics: Matrices, Eigen Values, Eigen Vectors, Singular Value Decomposition, Derivatives.
Probability:
  • ML/AI Algorithms: Linear Regression, Logistic Regression, KNN, SVM, Decision Tree, Random Forest Gradient/ADA Boosting, Naive Bayes, SVM, K-SVM, K-Means Clustering, Hierarchical Clustering, PCA, K-PCA, Incremental PCA, Neural Networks, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks.
  • Statistical Tools: Pandas, NumPy, SciPy, Statsmodels, NLTK, Scikit-Learn, Spacy, Gensim, Pattern, Stanford NLP, R, R-Studio
  • Visualization: Matplotlib, Seaborn
  • Big Data Concepts: Hadoop, PySpark
  • Cloud: AWS (EC2, RDS, Lambda, API Gateway, S3)
  • Application Development: Agile (SCRUM), JIRA, Balsamiq, Python, Java, J2ee, Web Services (SOAP, RESTFul) , Spring core, Spring MVC, Spring Web Flow, Spring Batch, Hibernate, JMS, Elcipse, UMLet, Unix/Linux, Maven, SQL, PL/SQL (MySql, Oracle), Git, SVN, Apache Tomcat, Weblogic, XML, XSD, JavaScript.
Certifications and Educational Qualifications:
  • Completed Training for IIBA’s, CBAP certification – 2017.
  • Certification of Participation for the ‘IoT Challenge’ – 2017
  • Certified Scrum Product Owner (CSPO) from Scrum Alliance – 2015.
  • M.Sc. (Masters in Computer Science) affiliated to Osmania University.
  • B.Sc. (Statistics and Computer Science) affiliated to Osmania University.
Technical Skills:
  • Machine Learning and Deep Learning Algorithms: Linear Regression, Logistic Regression, KNN (K – Nearest Neighbor), Decision Trees, Random Forest, Gradient – ADA Boosting, Naïve Base, SVM (Support Vector Machines), Kernel SVM, Clustering (K-Means and Hierarchical), PCA (Principal Component Analysis), Kernel – PCA, Bagging & Pasting Model, Deep Neural Network, Convolutional Neural Network and NLP (Natural Language Processing).
c v jaganadh

C.V. Jaganadh

Trainer

  • Statistical Concepts: Central Tendency (mean, median, mode), Variance, Standard Deviation, Z-Score, Covariance, Correlation, Skewness, Kurtosis, Central Limit Theorem, Sampling distribution of means, Statistical significance, Confidence Interval, P-Value, Chi-Square test, ANOVA.
  • Data Science Tools: Pandas, NumPy, SciPy, Statsmodels, Scikit-Learn, TensorFlow, R, R-Studio
  • Data Science – Visualization: Matplotlib, Seaborn.
  • Databases: Teradata, Oracle
  • Business Intelligence Tools: INFORMATICA, ERWIN, Power Designer, Business Objects, Tableau,
  • Big Data Tools/Concepts: Hadoop, Spark
  • >Cloud: Azure – ML, AWS – ML
  • Development: Python, TFS (Microsoft – Team Foundation Server), Java.
Post Graduate in MS IT from IIIT-Hyderabad in the year 2010.

Accomplishments:
  • Deep Learning Specialist from Coursera (Andrew Ng)
  • Completed “Machine Learning” CoE course at Bridgei2i
  • ITILV3 certification from IBM
Tools & Technologies:
  • Data Science Related: Python (pandas, numpy, sklearn, statsmodels, nltk, matplotlib, seaborn , xgboost genism,beutifulsoup ),Keras, TensorFlow,SparkMLLib,H2O, familiar with R&Tableau
  • BigData/ Cloud Related: HadoopStack (MapReduce, Hive,HDFS,Impala,Sqoop), Spark, Kafka, Storm, AWS Cloud, NoSQL Data Bases, Databricks, CloudEra
  • App development Related: Java, SQL, Data Bases, Scala, Maven, Tomcat, RESTful Web services, Django etc
  • Others:: Linux, Shell Scripting, Putty, Docker, Jupyter/Ipython, Eclipse, Spyder, Git etc.
v praveen kumar

V. Praveen Kumar

Trainer

Statistical Analysis:
  • Exploratory data analysis: Descriptive statistics, Hypthesis Testing,ANOVA, ChiSquare, imputing missing values, label encoding, standardize / normalize the data, feature extraction, feature selection.
  • Machine Learning
  • Supervised Learning
  • Classification: Logistic Regression, CART, RandomForest, NaivBayes, KNN,SVM, Gradient Boosting, Ada Boosting, LightGBM, XGBM ,Voting Classifiers, Bagging techniques
  • Regression: Linear Regression, Ridge, Lasso, ElasticNet
  • Unsupervised Learning: Clustering (KMeans, Hierarchical), PCA
  • Solvers: Gradient Descent (Stochastic), Adam,Adagrad,RMSprop, Deep Learning: familiar with ANN, CNN, RNN, LSTM, Autoencoders Natural Language Processing: Data pre-processing, Tokenization, Stemming, Lemmatisation, POS Tagging, NGram, Bag of Words, TF-IDF, NER, Sentiment Analysis, TopicModeling, Text Summarisation etc

Advanced Internet of Things (IoT) Certification

The Internet of Things is augmenting the era of science and technology and is transforming our lives including our habits, behaviors, and the way we do our business. The world is transforming at an incredible pace, with the number of IoT devices which is increasing by 31% year-over-year.

No doubt, IoT is poised to play a defining role in the future of the world. So, it is more important than ever for IT experts to fulfill the requirements of early adopters of this technology and fill this ever-expanding skills gap. This is where VinCampus’s exclusive internet of things training comes into play.

Why is Advanced IoT in demand?

IoT is becoming an indispensable part of human life – often without us realizing it. IoT is extending to all areas of computing and internet connectivity, from basic devices (such as desktops, laptops, smartphones, and tablets) to the most complex devices. IoT has enabled homeowners to get benefit from “Smart Homes”, while special abled people can make use of assistive technology such as voice control features for comfort and safety.

 

Curriculum Overview

The internet of things training course introduces advanced concepts to design, build, and deploy IoT solutions. VinCampus, internet of things institute in Visakhapatnam is known for imparting a sound understanding of the basic electronics, microcontroller architectures, sensors, IoT architecture and communication protocols to its students. IoT courses make you understand the scope of the IoT, devices, programming, architecture of its networks, data, security and its relation to IoT.

Like our artificial intelligence course, IoT courses at Vincampus cover service-rich cloud platforms to build and deploy IoT solutions. Practical use cases and case studies are included in the internet of things training institute to ensure that the candidates can connect and work for real-life scenarios

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