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Artificial Intelligence Internship At Logiprompt Pro Academy

Welcome to Logiprompt Pro Academy, the corporate training institute in Trivandrum specializing in Artificial Intelligence internship. At our institute, we offer AI courses designed for professionals and students with the skills needed to succeed in today’s AI-driven world.

Artificial Intelligence Training Institute

As a leading Artificial Intelligence training institute in Kerala, Logiprompt Pro Academy stands out for its commitment to quality education and industry relevance. Our trainers are seasoned professionals with extensive experience in AI development and deployment across various sectors. They bring real-world insights and hands-on expertise to every training session, ensuring that our students gain practical skills that are directly applicable to their careers.

Why Choose Logiprompt Pro Academy for AI Training?

In Thiruvananthapuram, Logiprompt Pro Academy stands as a beacon of excellence in Artificial Intelligence education. Our centrally located campus is easily accessible and equipped with modern amenities to support effective learning. Here, students not only gain technical proficiency in AI algorithms, machine learning, deep learning, and natural language processing but also develop critical thinking and problem-solving skills essential for AI innovation.

  1. Introduction
    • What is Artificial Intelligence
    • Why Artificial Intelligence and Machine Learning
  2. Types of Machine Learning
    • Supervised learning – Classification and Regression
    • Unsupervised Learning
    • Reinforcement Learning
  3. Types of Machine Learning Problems
  4. Types of Data & Evaluation
  5. Modeling – Splitting Data, Tuning, Comparison
  6. Pandas: Data Analysis
    • Pandas Introduction
    • Series, Data Frames, and CSVs
    • Data from URLs
    • Describing Data with Pandas
    • Selecting and Viewing Data with Pandas and Data Manipulation
    • Practical Section: Data Manipulation with Pandas Exercises
  7. NumPy: Scientific Computing with Python
    • NumPy Introduction
    • NumPy DataTypes and Attributes
    • Creating NumPy Arrays
    • Operators in Numpy
    • Practical Section: NumPy Exercises and Applications
  8. Matplotlib: Plotting & Data Visualization
    • Matplotlib Introduction
    • Importing And Using Matplotlib
    • Data Visualizations
    • Plotting From Pandas DataFrames and Exercise
  9. Regular Expressions
  10. Data Engineering
    • Data Engineering Introduction
    • What Is Data and Data Engineering
    • Types Of Databases
    • Deep Learning and Unstructured Data
    • Visualizing Our Data
    • Summarizing and Evaluating Model
  11. Neural Networks
    • What is Neural Network and its use
  12. Natural Language Processing (NLP)
    • Introduction to NLP
    • Text preprocessing
    • Text classification
    • Named Entity Recognition (NER)
    • Sentiment analysis
  13. Feature Engineering
    • Importance of feature selection
    • Techniques for creating new features
    • Handling missing data
  14. Model Deployment and Productionisation
    • Deploying models to production
    • Model serving and APIs
    • Monitoring and maintaining deployed models
  15. Advanced Neural Networks
    • Convolutional Neural Networks (CNNs) for image data
    • Recurrent Neural Networks (RNNs) for sequential data
    • Transfer learning
  16. Time Series Analysis
    • Introduction to time series data
    • Time series forecasting
    • Seasonality and trend analysis
  17. Big Data and AI
    • Introduction to big data technologies (e.g., Hadoop, Spark)
    • Distributed computing for machine learning
  18. Capstone Project
    • Hands-on project to apply the knowledge gained throughout the course
    • Guidance and mentorship for the capstone project
  19. Recent Advancements in AI
    • Keeping up with the latest research and developments in AI
    • Emerging trends and technologies