AI & MACHINE LEARNING
BIG DATA
INDUSTRIAL iOT
CLOUD
ADVANCED PYTHON
DEVOPS
Our Top Courses
Marketability is the first thing to consider before choosing a Course. Learning the right technology will launch you to higher level of success and achievement. Thus, our courses can prove to be a great platform for advancing your career fast in future
Featured Courses
Free Kernel Programming Course
The Linux Kernel has over 8 million lines of code and has many variants both available for commercial purpose and free software’s. This kernel is evolved as a best operating system used in music players, PC’s, largest supercomputers and embedded devices. It is robust, efficient, and scalable for various hardware’s.…
DevOps
AppsTek’s DevOps Program will introduce you to the DevOps practices, aligns you to DevOps lifecycle approach and provides you with in-depth knowledge about various DevOps tools that automates the lifecycle phases. The training is designed to help you become a proficient hands-on practitioner through best practices in Continuous Development and…
AWS
The pay-as-you-go model to avail different web services, store application data and utilize processing power on an on-demand basis has led to the widespread adoption of cloud computing. Cloud computing supports a vast number of services from consumers to large enterprises to host all their data and run many of…
AI & Machine Learning
AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student. Data Science is a field that…
Big Data
Welcome to AppsTek’s Big Data Specialization! We are excited and looking forward to learning about you. Big Data requires new programming frameworks and systems. For this course, we don’t need programming knowledge or experience, but we do want to clear the foundation of some of the key concepts. A good…
AI & ML
AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student.
AppsTek has studied market conditions as well as the quality of the training offered by several – both in a formal and unorganized way.
Program Curriculum
Learning Python Programming
Database Programming
Python for Data Science (Planning, Data Acquisition, Data Cleansing, Analysis, Modelling, Deployment and optimization )
Probability and Statistics for Decision Making
Supervised Learning (Regression, CART, Naive Bayes, KNN)
Unsupervised Learning(Clustering, PCA, Decision Trees)
Ensemble techniques(Bagging and Boosting)
Deep Learning
Capstone project
Big Data
Welcome to AppsTek’s Big Data Specialization! We are excited and looking forward to learning about you. Big Data requires new programming frameworks and systems. For this course, we don’t need programming knowledge or experience, but we do want to clear the foundation of some of the key concepts.
A good data analyst is one who turns data into relevant information, information into useful insights and insight into a business decision. Big data is data that contains greater variety, arriving in increasing volumes and with ever-higher velocity.
Around 2005, people began to realize just how much data users generated through Facebook, YouTube, and other online services. Hadoop was developed that same year. The development of open-source frameworks, such as Hadoop (and more recently, Spark) was essential for the growth of big data because they make big data easier to work with and cheaper to store.
Program Curriculum
- Big Picture of Big Data
- Bigdata usecase in current industry and solutions
- Setup and Installation of Hadoop using vm/docker
- HDFS – Storage Layer
- Deep Dive into MapReduce verions 1.0 & 2.0
- Hive – Data Analysis Tool/warehousing of data
- Pig – Data Analysis Tool
- NoSQL Database and overview
- Data Collection using Sqoop
- Data Collection/Ingestion using different tools
- Ingestion using realtime streaming process
- Apache Yarn & Advanced concepts in latest version
- Processing Data with Apache Spark
- Real Life Project on Big Data
Industrial IoT
The Internet-of-Things(IoT) defined by European Research Cluster(IERC) on IoT as “A dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols where physical and virtual “things” have identities, physical attributes, and virtual personalities and use intelligent interfaces, and are seamlessly integrated into the information network.”
Major players in information and communication technology position themselves in IoT and IoE (Internet of Everything). Device manufactures and Telecom operators anticipate a new business segment towards a wider adoption in IoT. As the internet of things continues to develop further potential is estimated with combination and related technology approach and concepts such as cloud computing, future internet and big data. The overall challenge is to extend the current IoT into dynamically configured web of platforms for connected devices, objects, smart environments, services and persons.
Program Curriculum
- Embedded C
- Arduino
- Raspberry PI
- Kernel/RTOS Concepts
- Socket programming
- MQTT,CoAP,XMPP,HTTP,REST API etc
- Wi-Fi,Zigbee, Zwave etc
- Hands-on working with GPIOs, Analog I/Os, Memory usage9
- Micro controller peripherals usage – Timers, Counters, Interrupts and its sources
- Communication protocols I – UART, SPI, I2C, CAN
Cloud - AWS
The pay-as-you-go model to avail different web services, store application data and utilize processing power on an on-demand basis has led to the widespread adoption of cloud computing.
Organizations of every type, size, and industry are using the cloud for a wide variety of use cases, such as data backup, disaster recovery, email, virtual desktops, software development and testing, big data analytics, and customer-facing web applications.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
Program Curriculum
- Cloud Computing, Deployment & Delivery/Service Models
- Introduction to AWS Services, Subscription to AWS
- AWS Management Console, AWS Essentials
- Identity and Access management (IAM)
- Elastic Compute Cloud (EC2)
- Elastic Block Store (EBS)
- Elastic Load Balancer (ELB)
- Auto Scaling
- Simple Storage Service (S3)
- Glacier Storage
- Virtual Private Cloud (VPC)
- Route 53
- Cloud watch
- Simple Notification Services (SNS)
- Simple Queue Service (SQS)
- Simple Email Services (SES)
Advanced Python
Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable and easily programmable.
Python was developed by Guido van Rossum at the National Research Institute for Mathematics and Computer Science in the Netherlands. Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, Unix shell, and other scripting languages.
Python programming is widely used in Artificial Intelligence, Natural Language Generation, Neural Networks and other advanced fields of Computer Science. Python had deep focus on code readability & this class will teach you python from basics.
Program Curriculum
- Overview, Environment, Basic Syntax
- Variable Types, Basic Operators, Decision Making
- Loops, Numbers, Strings
- Lists, Tuples, Dictionary
- Date & Time, Modules, Files I/O
- Exceptions, Classes & Objects, Regular Expressions
- CGI Programming, Database Access, Network Programming
- Sending Email, Multi-threading, GUI Programming
DevOps
AppsTek’s DevOps Program will introduce you to the DevOps practices, aligns you to DevOps lifecycle approach and provides you with in-depth knowledge about various DevOps tools that automates the lifecycle phases.
The training is designed to help you become a proficient hands-on practitioner through best practices in Continuous Development and Testing, Configuration Management, Continuous Integration and finally Continuous Monitoring of project throughout its development life cycle.
DevOps is a set of practices that automates processes between Software Development and IT Teams, in order to build, test, and release software faster and more reliably. The concept of DevOps is based on building a collaborative operational process between IT teams (Development and Operations) that historically functioned in relative siloes.
Program Curriculum
- DevOps overview
- Linux Knowledge
- Cloud Computing. DevOps and Cloud.
- Introducing DevOps, Introduction to CICD
- Introduction to Jenkins, First Jenkins Job
- Continuous Integration with Jenkins
- Continuous Inspection with Jenkins
- Continuous Delivery with Jenkins
- Continuous Deployment with Jenkins
- Mastering Config Management
- Pipeline as Code
- Integration with Docker
Advanced Analytics and Data Sciences Program
AppsTek Innovative Labs offers world-class skills in Data Sciences and Big Data’ Programming knowledge, Database Concepts, ERP Applications awareness – as the initial priming followed by Data ingesting techniques from various internal and external sources, Data distillation, Modelling, refining the model, interpretation, recommendations, Visualization techniques very elaborately, Hadoop, Pig, Hive and capstone projects with online cloud lab for assignments and assessments.
Build a career in the exciting field of AI&ML and Big Data Learning Online Certification Course. You get the certification after completion of all modules. This program will prepare you to solve real world problems using cutting edge technologies and latest data sets.
Key Differentiators
- Online Could lab for assignments and assessments
- Case study-based teaching
- Involvement in research and innovation
- Industry-Institute Interface
- Core understanding of programming language
- In-depth knowledge in Hardware, system setup, OS concepts etc
- Business models used in Data Sciences
- Domain- BPM, SCM, CRM, KPAs’, KPIs’
- Placement assistance
Who Should Enroll in Our Course
Any Graduate
IT Consultants/Professionals
Freshers
About Faculty
AppsTek Innovative Labs faculty is a cluster of full-time lectures, experienced professionals, thought leaders and academics from different universities. AppsTek’s global presence and proactive approach in identifying business problems across industries helps enterprises keep pace with the dynamic world of Data Science.
AppsTek Placement Center
- Resilience in the job search
- Career center operating Virtually
- 24/7 Resources
Career Planning
Essentials
Events and
Workshops
Job Search
Internships
Program Fee
You can choose one or more than one specialization based on your interest
Programs
Total Cost
Total Duration
AI&ML
1500$
21 days – 120 hrs Or 9 weeks – 120 hours
Big Data
1500$
21 days – 120 hrs Or 9 weeks – 120 hours
Industrial Iot
1500$
21 days – 120 hrs Or 9 weeks – 120 hours
Cloud
1500$
21 days – 120 hrs Or 9 weeks – 120 hours
Advanced Python
1500$
21 days – 120 hrs Or 9 weeks – 120 hours
Devops
1500$
21 days – 120 hrs Or 9 weeks – 120 hours
Our Happy Students
I am currently pursuing Advanced Data Science course at AppsTek Innovative
Labs. Being an omni-disciplinary field, data science focuses on the study of
scientific methods that extracts information from data and building models to
solve complex problems. A key differentiator is the teaching methodology
involving real-time examples, one-on-one discussions on programming and logic
along with innovative research problems. The e-books, well-structured PPTs and
course videos are of high quality. Hands-on experience with 24×7 online Lab
helps me become a Data Science Expert.
Manoj Kumar Mallampalli
Software Engineer
Partner with us
Established in 1960 as one of the first Indian Institute of
Technology, the institute was created with the assistance
of a consortium of nine US research universities as part of
the Kanpur Indo-American Program
Innovation & Research Organization (IRF) is contributing
to national development through range of innovative
educational, vocational and training programs for
schools, colleges and corporate sector.
Why AppsTek
AppsTek Innovative Labs has carefully framed a syllabus covering all aspects creating an ‘Industry-Institute Interface’. Real-time case studies where students apply their knowledge to real-world scenarios and promote higher levels of cognition. Research-based teaching methodology will lead to the development of many new algorithms which can further be adopted in business operations.
Information
Get ready to become a
Certified Professional
AI & MACHINE LEARNING
BIG DATA
INDUSTRIAL iOT
CLOUD
ADVANCED PYTHON
DEVOPS
Our Top Courses
Marketability is the first thing to consider before choosing a Course. Learning the right technology will launch you to higher level of success and achievement. Thus, our courses can prove to be a great platform for advancing your career fast in future
Featured Courses
Free Kernel Programming Course
DevOps
AWS
AI & Machine Learning
Big Data
AI & ML
AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student.
AppsTek has studied market conditions as well as the quality of the training offered by several – both in a formal and unorganized way.
Program Curriculum
Big Data
Welcome to AppsTek’s Big Data Specialization! We are excited and looking forward to learning about you. Big Data requires new programming frameworks and systems. For this course, we don’t need programming knowledge or experience, but we do want to clear the foundation of some of the key concepts.
A good data analyst is one who turns data into relevant information, information into useful insights and insight into a business decision. Big data is data that contains greater variety, arriving in increasing volumes and with ever-higher velocity.
Around 2005, people began to realize just how much data users generated through Facebook, YouTube, and other online services. Hadoop was developed that same year. The development of open-source frameworks, such as Hadoop (and more recently, Spark) was essential for the growth of big data because they make big data easier to work with and cheaper to store.
Program Curriculum
- Big Picture of Big Data
- Bigdata usecase in current industry and solutions
- Setup and Installation of Hadoop using vm/docker
- HDFS – Storage Layer
- Deep Dive into MapReduce verions 1.0 & 2.0
- Hive – Data Analysis Tool/warehousing of data
- Pig – Data Analysis Tool
- NoSQL Database and overview
- Data Collection using Sqoop
- Data Collection/Ingestion using different tools
- Ingestion using realtime streaming process
- Apache Yarn & Advanced concepts in latest version
- Processing Data with Apache Spark
- Real Life Project on Big Data
Industrial IoT
The Internet-of-Things(IoT) defined by European Research Cluster(IERC) on IoT as “A dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols where physical and virtual “things” have identities, physical attributes, and virtual personalities and use intelligent interfaces, and are seamlessly integrated into the information network.”
Major players in information and communication technology position themselves in IoT and IoE (Internet of Everything). Device manufactures and Telecom operators anticipate a new business segment towards a wider adoption in IoT. As the internet of things continues to develop further potential is estimated with combination and related technology approach and concepts such as cloud computing, future internet and big data. The overall challenge is to extend the current IoT into dynamically configured web of platforms for connected devices, objects, smart environments, services and persons.
Program Curriculum
- Embedded C
- Arduino
- Raspberry PI
- Kernel/RTOS Concepts
- Socket programming
- MQTT,CoAP,XMPP,HTTP,REST API etc
- Wi-Fi,Zigbee, Zwave etc
- Hands-on working with GPIOs, Analog I/Os, Memory usage9
- Micro controller peripherals usage – Timers, Counters, Interrupts and its sources
- Communication protocols I – UART, SPI, I2C, CAN
Cloud - AWS
The pay-as-you-go model to avail different web services, store application data and utilize processing power on an on-demand basis has led to the widespread adoption of cloud computing.
Organizations of every type, size, and industry are using the cloud for a wide variety of use cases, such as data backup, disaster recovery, email, virtual desktops, software development and testing, big data analytics, and customer-facing web applications.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
Program Curriculum
- Cloud Computing, Deployment & Delivery/Service Models
- Introduction to AWS Services, Subscription to AWS
- AWS Management Console, AWS Essentials
- Identity and Access management (IAM)
- Elastic Compute Cloud (EC2)
- Elastic Block Store (EBS)
- Elastic Load Balancer (ELB)
- Auto Scaling
- Simple Storage Service (S3)
- Glacier Storage
- Virtual Private Cloud (VPC)
- Route 53
- Cloud watch
- Simple Notification Services (SNS)
- Simple Queue Service (SQS)
- Simple Email Services (SES)
Advanced Python
Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable and easily programmable.
Python was developed by Guido van Rossum at the National Research Institute for Mathematics and Computer Science in the Netherlands. Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, Unix shell, and other scripting languages.
Python programming is widely used in Artificial Intelligence, Natural Language Generation, Neural Networks and other advanced fields of Computer Science. Python had deep focus on code readability & this class will teach you python from basics.
Program Curriculum
- Overview, Environment, Basic Syntax
- Variable Types, Basic Operators, Decision Making
- Loops, Numbers, Strings
- Lists, Tuples, Dictionary
- Date & Time, Modules, Files I/O
- Exceptions, Classes & Objects, Regular Expressions
- CGI Programming, Database Access, Network Programming
- Sending Email, Multi-threading, GUI Programming
DevOps
AppsTek’s DevOps Program will introduce you to the DevOps practices, aligns you to DevOps lifecycle approach and provides you with in-depth knowledge about various DevOps tools that automates the lifecycle phases.
The training is designed to help you become a proficient hands-on practitioner through best practices in Continuous Development and Testing, Configuration Management, Continuous Integration and finally Continuous Monitoring of project throughout its development life cycle.
DevOps is a set of practices that automates processes between Software Development and IT Teams, in order to build, test, and release software faster and more reliably. The concept of DevOps is based on building a collaborative operational process between IT teams (Development and Operations) that historically functioned in relative siloes.
Program Curriculum
- DevOps overview
- Linux Knowledge
- Cloud Computing. DevOps and Cloud.
- Introducing DevOps, Introduction to CICD
- Introduction to Jenkins, First Jenkins Job
- Continuous Integration with Jenkins
- Continuous Inspection with Jenkins
- Continuous Delivery with Jenkins
- Continuous Deployment with Jenkins
- Mastering Config Management
- Pipeline as Code
- Integration with Docker
Advanced Analytics and Data Sciences Program
AppsTek Innovative Labs offers world-class skills in Data Sciences and Big Data’ Programming knowledge, Database Concepts, ERP Applications awareness – as the initial priming followed by Data ingesting techniques from various internal and external sources, Data distillation, Modelling, refining the model, interpretation, recommendations, Visualization techniques very elaborately, Hadoop, Pig, Hive and capstone projects with online cloud lab for assignments and assessments.
Build a career in the exciting field of AI&ML and Big Data Learning Online Certification Course. You get the certification after completion of all modules. This program will prepare you to solve real world problems using cutting edge technologies and latest data sets.
Key Differentiators
- Online Could lab for assignments and assessments
- Case study-based teaching
- Involvement in research and innovation
- Industry-Institute Interface
- Core understanding of programming language
- In-depth knowledge in Hardware, system setup, OS concepts etc
- Business models used in Data Sciences
- Domain- BPM, SCM, CRM, KPAs’, KPIs’
- Placement assistance
Who Should Enroll in Our Course
Any Graduate
IT Consultants/Professionals
Freshers
About Faculty
AppsTek Innovative Labs faculty is a cluster of full-time lectures, experienced professionals, thought leaders and academics from different universities. AppsTek’s global presence and proactive approach in identifying business problems across industries helps enterprises keep pace with the dynamic world of Data Science.
AppsTek Placement Center
- Resilience in the job search
- Career center operating Virtually
- 24/7 Resources
Career Planning
Essentials
Events and
Workshops
Job Search
Internships
Program Fee
You can choose one or more than one specialization based on your interest
| Programs | Total Cost | Total Duration |
|---|---|---|
| AI&ML | 1500$ | 21 days – 120 hrs Or 9 weeks – 120 hours |
| Big Data | 1500$ | 21 days – 120 hrs Or 9 weeks – 120 hours |
| Industrial Iot | 1500$ | 21 days – 120 hrs Or 9 weeks – 120 hours |
| Cloud | 1500$ | 21 days – 120 hrs Or 9 weeks – 120 hours |
| Advanced Python | 1500$ | 21 days – 120 hrs Or 9 weeks – 120 hours |
| Devops | 1500$ | 21 days – 120 hrs Or 9 weeks – 120 hours |
Our Happy Students
I am currently pursuing Advanced Data Science course at AppsTek Innovative
Labs. Being an omni-disciplinary field, data science focuses on the study of
scientific methods that extracts information from data and building models to
solve complex problems. A key differentiator is the teaching methodology
involving real-time examples, one-on-one discussions on programming and logic
along with innovative research problems. The e-books, well-structured PPTs and
course videos are of high quality. Hands-on experience with 24×7 online Lab
helps me become a Data Science Expert.
Manoj Kumar Mallampalli
Software Engineer
Partner with us
Established in 1960 as one of the first Indian Institute of
Technology, the institute was created with the assistance
of a consortium of nine US research universities as part of
the Kanpur Indo-American Program
Innovation & Research Organization (IRF) is contributing
to national development through range of innovative
educational, vocational and training programs for
schools, colleges and corporate sector.
Why AppsTek
AppsTek Innovative Labs has carefully framed a syllabus covering all aspects creating an ‘Industry-Institute Interface’. Real-time case studies where students apply their knowledge to real-world scenarios and promote higher levels of cognition. Research-based teaching methodology will lead to the development of many new algorithms which can further be adopted in business operations.
