Artificial Intelligence

AI Partner – DataJango Technologies Pvt Ltd
Programme Name

Professional Certification in Artificial Intelligence Course

About AI

Artificial intelligence (AI) is nothing but simulation of human intelligence processes through machines. This branch of computer science emphasizes the creation of intelligent machines that work and react like humans.

Artificial Intelligence is an intense technology that requires patience and practice. Team VinCampus provides you a conducive environment and the best artificial intelligence course to hone your inherent skills while instilling the technology competency. Through our machine learning course, we groom you to transform you into industry experts.

Programme Structure

9 months of intensive artificial intelligence training covering the below Program modules

  • Data Science
  • Machine Learning
  • Deep Learning
  • Natural Language Process
  • Natural Language Generation
  • Information Retrieval
  • Computer Vision
Programme Highlights
  • Partnering with Industrial Experts
  • Module design as per Industry Standards
  • Real time modules / projects
  • Seminar/Workshops by eminent technology experts
ai terminologies ai vision
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.


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.
  • 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


  • 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.

  • 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


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

An Artificial Intelligence training provides immense knowledge to students about computer science, natural language processing, data science, machine learning, math, psychology, neuroscience, and many other disciplines. Introductory AI courses at VinCampus will give you hands-on experience about AI programming of intelligent agents such as search algorithms, games and logic problems. Our machine learning institute makes you understand the concepts used in various advanced technologies such as self-driving cars, facial recognition systems, military drones, and natural language processors.

Artificial intelligence classes help you learn the fundamentals of how robots operate, how to represent 2D and 3D spatial relationships, plan end to end AI robot systems, etc. In Machine learning training course, we help you explore unsupervised learning techniques used in data modeling and various analysis on data clustering, machine learning algorithms, image recognition, computer vision, reinforcement learning, problem-solving, data mining, speech recognition matrix factorization.

Enroll yourself for AI courses and learn Artificial Technology to get the complete overview of this exciting field in the best artificial intelligence training institute in Visakhapatnam. Even if you are unfamiliar with the basics of computer science and programming, with the help of trainers you can easily understand the topics and concepts.

Jobs in AI

Why we search the best internet of things training institute or AI training institute? Simple, in order to explore and understand the field better and work with companies operating on these technologies. AI jobs typically require a bachelor’s degree or higher in computer science, engineering, including programming language – Java, C, Python, R, JavaScript and SQL and experience in data science is considered as a bonus. Top job positions with high salary in this field include Artificial Intelligence Engineer, AI Project Manager, Researcher, and Artificial Intelligence Consultant and some of the top companies hiring include Amazon, Google, Apple, and IBM.

Explore a Career in Artificial Intelligence

VinCampus, an artificial intelligence training institute in Visakhapatnam helps to build the future of candidates with an exciting career in the most popular and fast-growing field of artificial intelligence. If you love computer science, mathematics, and data analysis, then enroll for best artificial intelligence course in India and start learning about the applications of artificial intelligence 

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