DeepTech

Master the fundamentals of DeepTech & become an Expert

DeepTech is transforming diverse industries by integrating cutting-edge technologies like artificial intelligence, machine learning, blockchain, and quantum computing. In healthcare, it facilitates precision medicine and diagnostics, while in finance, it optimizes risk management and enhances security through blockchain.

The demand for AI and DeepTech roles in India is projected to grow by 60% in the next two years. Globally, the investment in AI technologies is anticipated to surge to $110 billion annually by 2024.

Manufacturing benefits from automation and predictive maintenance powered by machine learning, while in energy, DeepTech contributes to efficient resource utilization. Smart cities leverage these technologies for urban planning, and the automotive sector embraces autonomous driving technologies.Agriculture sees advancements in precision farming, and education benefits from personalized learning powered by AI. In essence, DeepTech is revolutionizing industries, optimizing processes, and fostering innovation across the economic landscape.

CAREER PATH

Your Pathway to a brigther future in the
ever evolving DeepTech industry

AI Game Developer

Crafting immersive gaming experiences by integrating artificial intelligence algorithms

Healthcare Machine Learning Engineer

Applying ML to enhance medical diagnostics and treatment innovations

AI Autonomous Spacecraft Engineer

Developing intelligent systems for autonomous space exploration missions

Cybersecurity Engineer

Design and implement security measures to protect systems and data against cyber threats

AI Energy Efficiency Consultant

Optimizing energy usage through advanced analytics and artificial intelligence

Marketing Analyst

Utilizing data to optimize marketing strategies and campaign performance

Ready to deep dive in the immersive world of DeepTech?

Program Curriculum 

Enrolling in our DeepTech courses provides a unique opportunity to gain specialized knowledge and skills in cutting-edge technologies. Our courses are designed by industry experts to offer a practical and hands-on learning experience, equipping you with the expertise needed to address complex challenges in today’s rapidly evolving tech landscape.

  • Entity Relationships and ER Diagram
  • Primary Key, Foreign Key, Constraints and joins
  • Subqueries, Aggregations, sorting and Grouping Filtering
  • Functions and Programs
  • Data Acquisition and Data integrity
  • Data Standardization
  • Using Excel for Data preparation and cleaning
  • Introduction to Scientific packages
  • Exploratory Data analysis using pandas
  • Introduction to Probability
  • Hypothesis testing and Goodness of fit
  • Descriptive and inferential statistics
  • Regression Analysis
  • P-value and Dimensionality Reduction
  • Supervised and unsupervised learning
  • Clustering algorithms
  • Tree based algorithms
  • Neural Networks
  • Multiple Linear Regression
  • Logistic Regression
  • Overview of Data Visualization
  • Introduction to Matplotlib
  • Seaborn and Regression Plots
  • Creating Dashboards with Plotly and Dash
  • Correlation and Forecasting
  • ARMA and ARIMA
  • Weight Initialization
  • Gradient Descent for Neural Networks
  • Training, Validation, test sets
  • Parameters vs Hyperparameters
  • Regularization and methods of regularization
  • Batch normalization
  • Difference between image classification, image segmentation, object detection, object Recognition
  • Standard datasets and some benchmarks
  • Difference between image classification, image segmentation, object detection, object Recognition
  • Designing and training CNN from scratch
  • Introduction to TensorFlow Framework
  • Standard CNN networks
  • Autoencoder
  • Face Recognition
  • Transfer Learning with pretrained models of EfficientNet and InceptionV3
  • Introduction and Examples for applications
  • Word Embeddings and LLMs
  • Naïve Bayes
  • Sentiment analysis
  • Recurrent neural networks
  • Seq2seq Model
  • Transformers and Attention Models
  • Conversational AI and Chatbots

Frequently Asked Questions.

  • Students pursuing any Bachelors/Master degree preferably from STEM background, who want to acquire the necessary skills and knowledge to have an edge in campus placements
  • Recently graduated students aspiring for a career in IT industry/ Early career professionals
  • To build a career in the emerging technology such as AI and data science
  • To get a competitive edge over others during the campus placements through acquiring this niche skills
  • For better career growth and keep abreast of the emerging technologies which gives a dream career growth
  • To gain skills and knowledge with hands on experience as per the industry requirements  to become industry ready
Both offline and online program delivery are available:
  1.  In all our programs where learners access course materials, lectures, and assignments through our unique pedagogy designed for every category of learners supported with highly automated LMS
  2. Real-time learning where learners attend classes and engage in activities simultaneously with instructors and classmates

Yes, participants typically receive a certificate upon successful completion of the program. Certificates are given in a digital format, making it convenient for participants to share and showcase their achievements on professional platforms like LinkedIn.

  • Data Analyst: Analyzing data to inform business decision-making and strategy
  • Business Intelligence Analyst: Transforming data into actionable insights for organizational improvements
  • Marketing Analyst: Utilizing data to optimize marketing strategies and campaign performance
  • Financial Analyst: Analyzing financial data to guide investment decisions and financial planning
  • Operations Analyst: Improving operational efficiency through data analysis and process optimization
  • Healthcare Data Analyst: Analyzing healthcare data for informed decision-making and patient outcomes

Junior roles may offer salaries in the range of Rs. 5LPA – 10LPA.

Please get in touch via the contact form here

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