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Practical Data Science and Artificial Intelligence Course

  • 100% Job Guarantee Program
  • INR 6.9 LPA Conditional Job Offer Letter From Reputed AI Company
  • Post Graduate Diploma From The State University Of New York
  • Pan India and International Placement Support
  • No Prior Coding Experience? No Problem!
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Academic Partners & International Accreditations
  • Data Science & AI course with Naascom
  • Practical Data Science & Deployment Specialist Executive Program with SUNY
  • Practical Data Science & Deployment Specialist Executive Program with NEF
  • Data Science & AI course with Innodatatics
  • Data Science & AI course with Microsoft
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Our One year Practical Data Science & Artificial Intelligence Program will help students and practitioners build the data pipeline, perform data analytics and data science models by understanding business problems in real-time live project environment with real data sets and real projects from our clients. First, one will understand the right data to be ingested from the right sources, and after that, performing the right preprocessing techniques will be learned. Finally, participants can confidently face the customers and document the business problem in a manner that will help align all the business & technical stakeholders into solving the complex problems. This program covers every aspect of the data pipeline, alongside the pre vs. post-solution building aspects. The comprehensiveness of the solution building is the best in the industry along with industry leaders and academic partners and encompasses Data Engineering, Data Science, MLOps and more advanced concepts including Generative AI.

Data Science & AI Course

Program Cost

INR 2,25,000 1,85,000+Tax

Practical Data Science & AI Training Overview

The Certification program in Master the Practical Data Science Program with 100% Job Placement* is specifically designed keeping in mind the technological trends in the market and to give the professionals an advantage and a chance to grow in their career hassle-free. The one year course comprises 600+ hours of training and 600+ hours of practice sessions that will not only reinforce the fundamentals but also gives a chance for course takers to work on 21 projects on Azure, AWS, Google Cloud Platform, Big Data, and MLOPS-based deployment. This course is a comprehensive package for all IT enthusiasts who wish to design and develop AI applications in their field of study.

Practical Data Science & AI Training Outcomes

The present market is all about the data. There is a huge demand for data professionals worldwide making it a lucrative career in this domain. With the help of cutting-edge and appropriate tools, professionals will be able to build algorithms and analyze huge data. 360DigiTMG Master the Practical Data Science Program with 100% Job Placement* is specifically designed for experienced professionals and individuals who have prior knowledge and understanding of the Data Science, cloud, and Machine Learning experience. This course will give them the edge they need to cut through the competition and score the highest-paying job in the market. Students will be exposed to real-time projects, at the learning level only they are prepared to face the challenges that are inclined to be in industries. The primary objective of Master the Practical Data Science Program with 100% Job Placement* at 360DigiTMG is to deliver skilled professionals by providing quality training, guiding them to implement and gain hands-on experience.

Learn the structured approach to handle data related projects with focus on both business as well as technical aspects from stalwarts who have worked on 150+ projects and have an average work experience of 15+ years
Learn on how to work in a collaborated environment using collaborative tools because multiple data scientists work on same project
Learn to work on volume on data which is similar to real world data sizes powered by Panasonic Innovation Center and Innodatatics partnered companies
Learn to work on deploying the models on-premise environments - Access to our Servers placed on AWS where we pay the entire cost by setting up the infrastructure.
Learn on work in building end to end data pipelines from experts who worked in MAANG companies.
Learn to work on total '21' projects overall
Learn to work on deploying the models on cloud - AWS, Azure, GCP - With free credits we can extend free services to students
Learn to work on '3' industry specific projects of your choice based on your work experience or based on your educational background
Get your resume prepared through best practices and from experts who got placed in various companies via 360DigiTMG
Get mock interviews done by industry experts from Fortune 500 companies & Data Science Startups
Block Your Time
class room duration

500+ hours

Sessions

assignment duration

300+ hours

Assignments

project duration

21+

Live Projects

Who Should Sign Up?
  • Those aspiring to be Data Scientists, AI experts, Business Analysts, Data Analytics developers
  • Graduates looking for a career in Data Science, Machine Learning, Forecasting, AI
  • Professionals migrating to Data Science
  • Academicians and Researchers

         

Many modules are in great demand for the requirements in the present changing business. The black box is the most powerful technique used to validate against the external factors that are responsible for software issues. The supervised machine learning algorithms include Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, Support Vector systems, and many more. Deep learning is the lineage of Machine learning algorithms. Deep learning is mainly used in Computer vision, Bioinformatics, Audio recognition, and medical analyzing systems. Deep learning algorithms include Convolutional Neural Networks, Artificial Neural Networks, Multiple Linear Regression, Logistic regression, etc. Unsupervised learning in data mining includes Clustering, Neural networks, Principal component Analysis, Local outlier factor, and so on.

 
  • Health monitoring for Plants using Practical Transfer Learning on AWS

    Learn to capture the health of plants using the image of the leaf. You will learn to develop an Image processing Model using deep learning algorithms. Develop a pipeline to capture the new images fed into the NoSQL database. The ML/AI model will be developed, trained, and deployed on the AWS cloud platform. You shall explore the Sagemaker platform of AWS cloud.

  • Hugging Face models for NLP Generative Chatbot on AWS

    Learn to use AWS services to develop a generative chatbot. You will learn the application of NLP models on AWS cloud. Design and Develop an NLP pipeline to train the model on Text corpus stored in PostgreSQL DB.

  • Practical Real-time Prediction and Analysis on AWS

    Learn to train and develop End to End ML models on the data stored on the s3 bucket and then deploy it with a click of a button using the Autopilot feature on AWS Sagemaker service.

  • AutoML frameworks for Practical ML project implementation

    Implement an ML workflow with automated libraries like AutoEDA, Hyperparameter optimization techniques, and AutoML libraries. Benchmark the best solution by developing multiple models to compare the performances and finally choose the optimal solution for the business problems.

  • AutoML for Predictive Maintenance

    Use AutoML libraries to develop an ML model to perform preventive maintenance Manufacturing sector. Learn to ingest data generated from IoT sensors.

  • AutoML TPOT for End to End Machine Learning Application

    Automate the ML pipeline with tree-based AutoML technique Tpot. Learn to tune the AutoML parameters with the help of Hyperparameters. Export the Best pipeline identified by the AutoML TPOT library for deployment.

  • Standardized Machine Learning Workflow with Data Versioning

    With the help of open-source MLOps platforms, learn to deploy a ML pipeline. Understand the data drift and model drift with the help of data validation strategies of MLops tools.

  • Machine Learning Algorithms from Scratch using MLOps Strategies

    With the help of open-source MLOps platforms, learn to deploy an ML pipeline. Understand the data drift and model drift with the help of data validation strategies of MLops tools.

  • ML Pipeline using Kubeflow with End-to-End deployment and Monitoring

    Learn to set up the Machine learning toolkit for Kubernetes (Kubeflow) on cloud services. Develop End to End ML models with Kubeflow pipelines with deployment.

  • Image Based Problem

  • Text Based Problem

  • Structured Dataset

  • Image-based Product Quality Evaluator using Azure Custom Vision Services

  • Recommendation Engine for Restaurants to help Serve Customers with Personalized choices

  • Practical ML Models Using Azure Serverless Architectures

  • Leveraging Google Cloud IoT and AI/ML services for Practical ML Applications for Live Streaming Data

    Ingest Live Streaming data generated by IoT sensors using the pub-sub system on GCP. Use the data warehouse tool BigQuery for storing the data. Create a pipeline to work with the data stored in Bigquery and perform predictive analytics solutions.

  • Foreign Language Hand Written Address Mapping using NLP Cloud services

  • Sequential Pattern Mining Using Google Cloud Platform (GCP)

  • Distributed Computing using Spark for Network Optimization

    Learn to work with very large-sized geospatial data with the help of big data distributed framework services. Understand the true power of Apache Spark in processing the large amount of unstructured data using the GraphX library on the Hadoop Cluster.

  • Machine Learning Models for Predictive Analytics with SparkML

    ML models require continuous training for maintaining the expected results of the business. Along with accuracy for ML models, performance is also an essential metric. Training the ML models on big data will be a very time-consuming activity. To address the high latency problem, Apache SparkML is used on the distributed platform for in-memory cluster computing to try and speed up the ML training pipeline by 100x.

  • Fraud Detection in Procurement on BigData using Practical tools

    Design data pipelines to ingest the data from multiple tables. Preprocess the data for model training. Use big data tools for developing Data science solutions for the retail sector to address procurement fraud.

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How we prepare you
  • Data Science & AI course with placements
    Additional Assignments of over 300+ hours
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    Live Free Webinars
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    Resume and LinkedIn Review Sessions
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    Lifetime LMS Access
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    24/7 Support
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    Job Placement in Data Science & AI fields
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    Unlimited Mock Interview and Quiz Session
  • best Data Science & AI training with placements
    Hands-on Experience in Live Projects
  • Data Science & AI course
    Offline Hiring Events

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professional certification program in data science and ai

Certificate

Get recognised for your advanced data skills with the Professional Certification in Practical Data Science. Make your mark in the highly competitive AI talent market.

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Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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Our Alumni Work At

Our Alumni

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FAQs for Practical Data Science & AI Certification Training

There are 21 projects in total and for every project, you will get 4 hours and you will do it under the guidance of our trainers.

Professionals who are already working in this domain and individuals who have completed the fundamental Data Science program with 360DigiTMG or any other institute are eligible for this course.

Yes, there will be an entrance exam to enroll in the course and it is a multiple choice test that consists of 100 questions on Data Science, Machine Learning, and Cloud.

The Practical Data Science course is for 1200+ hours out of which 600+ hours are dedicated to online classes while the remaining 600+ are for student practice.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

Jobs in the field of Data Science & AI in India

Data Science & AI Jobs in India

This course on data science with AI will help you in grabbing opportunities that are in great demand. You would be suitable in the positions for Data Scientist, Business Intelligence Developer, AI researcher, Algorithm engineer, Data mining Analyst, Business Analyst.

Salaries in India for Data Scientist

Salaries for Data Science & AI

The average salary for a Data Scientist with Artificial Intelligence (AI) skills in India is Rs.1,455,232, while at the entry-level in India it is around Rs.6,20,000, mid-level and senior-level salary could earn more than Rs.55,00,000 in India. It increases with relevant experience.

Data Science & AI Course Projects in India

Data Science & AI Projects in India

Data Science with Artificial Intelligence is the perfect solution for complex issues. This technology is used in varied fields like Banking, Fake news detection, Health care sector, Speech emotion Recognition project, and in investigating crimes.

Role of Open Source Tools in Data Analytics Course

Roles of Open Source Tools in Data Science & AI

There are many popular tools in Data Science which are used extensively like Python, R, R studio, Tableau, Tensor flow, Keras, Terax. This helps in solving Data Science algorithms.

Modes of Training for Data Science & AI course with Python

Modes of Data Science & AI Training

This course is specifically designed as per the requirements of professionals and freshers. 360DigiTMG delivers classroom sessions as well as online sessions with a dedicated team of trainers and mentors.

Industry Application of Data Science & AI Course

Industry Applications of Data Science & AI

Many industries are imbibing this trending technology in their business to boost their production. Chatbots, IoT applications, the Transportation sector, Health care, Education sector, Investigation departments, Banking are among those.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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