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Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. The goal of AI is to develop systems that can perform tasks that typically require human intelligence, join our top Top Al Training in trivandrum in such way that visual perception, speech recognition, decision-making, and language translation.
Explore the Best Generative Ai course in Kerala Artificial Intelligence with our in-depth course, which is intended to provide you with the abilities and information needed to succeed in this fascinating profession. Our course provides the ideal balance of academic knowledge and real-world application, enabling you to become an expert in AI design, programming, and construction. Be at the forefront of technological innovation by enrolling in the Top Al Training in Kerala course and training.
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1. Algorithms
- Machine learning algorithms. Without explicit programming, they allow (Top Al Training in Kerala) computers to learn from data and gradually improve their abilities.
- Algorithms for optimization: Used to optimize models and determine the appropriate settings for maximum performance.(Best Ai course in Kerala)
2. Data
- Training Data: Artificial intelligence models are trained using large data sets. The success of AI systems depends on both the amount as well as the quality of input.
- Data for Testing and Validation: Distinct databases are use to assess how well the models that were trained function.
- Labeled Data: In machine learning with supervision, data that has been annotated or categorized to direct the learning process. (Top Al Training in Kerala)
3. Training
- Supervised Learning: The label dataset with input information and matching return is used for training the algorithm.
- Unsupervised Learning: Without specific labels, the algorithm discovers links and trends in the information at hand.
- Reinforcement Learning: Through interaction with the surroundings and feedback in the form of rewards or penalties, the trainee gains knowledge.
4. Ethical and Responsible AI:
- The development and deployment of AI systems should consider ethical principles, transparency, accountability, and fairness to ensure the responsible use of AI technology
What truly sets Logiprompt Pro Academy apart is its robust career focus, which includes expert mentorship, flexible learning options (Offline, Online, and Hybrid Internships), and critically, 100% placement assistance. As the corporate training division of Logiprompt Techno Solutions, the Academy has a dedicated placement cell that supports students with mock interviews and resume building, connecting them directly with hiring partners across Kerala’s major tech parks. By offering both deep technical expertise and guaranteed career support, Logiprompt Pro Academy is the premier launchpad for a successful and lucrative AI career in the region.
Best Generative Ai course in Kerala
With our extensive course and internship program, you may start your path to becoming a proficient intelligent technology specialist. The Top Al Training in Kerala is designed for you, regardless of your level of experience. You can start a career in robotics as a beginner or advance your career as a professional. Get in touch with us right now to find out more about our training courses, Best Ai course in Kerala, timetables, and how we can support your robot career aspirations. Together, let’s use robots to construct the future!
Introduction
- What is Artificial Intelligence
- Why Artificial Intelligence and Machine Learning
- Types of Machine Learning
- Supervised learning – Classification and Regression
- Unsupervised Learning
- Reinforcement Learning
- Types of Machine Learning Problems
- Types of Data & Evaluation
- Modeling – Splitting Data, Tuning, Comparison
- 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
- NumPy: Scientific Computing with Python
- NumPy Introduction
- NumPy DataTypes and Attributes
- Creating NumPy Arrays
- Operators in Numpy
- Practical Section: NumPy Exercises and Applications
- Matplotlib: Plotting & Data Visualization
- Matplotlib Introduction
- Importing And Using Matplotlib
- Data Visualizations
- Plotting From Pandas DataFrames and Exercise
- Regular Expressions
- 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
- Neural Networks
- What is Neural Network and its use
- Natural Language Processing (NLP)
- Introduction to NLP
- Text preprocessing
- Text classification
- Named Entity Recognition (NER)
- Sentiment analysis
- Feature Engineering
- Importance of feature selection
- Techniques for creating new features
- Handling missing data
- Model Deployment and Productionisation
- Deploying models to production
- Model serving and APIs
- Monitoring and maintaining deployed models
- Advanced Neural Networks
- Convolutional Neural Networks (CNNs) for image data
- Recurrent Neural Networks (RNNs) for sequential data
- Transfer learning
- Time Series Analysis
- Introduction to time series data
- Time series forecasting
- Seasonality and trend analysis
- Big Data and AI
- Introduction to big data technologies (e.g., Hadoop, Spark)
- Distributed computing for machine learning
- Capstone Project
- Hands-on project to apply the knowledge gained throughout the course
- Guidance and mentorship for the capstone project
- Recent Advancements in AI
- Keeping up with the latest research and developments in AI
- Emerging trends and technologies
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