Unlock the Future of Technology with Artificial Intelligence (AI)

At Eddoc Technology, we offer cutting-edge training in Artificial Intelligence (AI), one of the most transformative fields in the world of technology. Our AI training program is designed to equip you with the knowledge and practical skills to excel in a variety of industries, from healthcare to finance, retail, and more. Whether you're a beginner or looking to enhance your expertise, our comprehensive curriculum will help you stay ahead in the competitive tech world.

Key Features of Artifical Intelligence

50+ live sessions spread around seven months

Hands-On Projects

Expert Instructors with Industry Experience

Hands-On Experience with Artificial Intelligence Strategies to Solve Real-World Challenges

Resume Preparation and LinkedIn Profile Review

Career Guidance and Placement Assistance

COURSE CURRICULUM

Module 1: Introduction to Artificial Intelligence (AI)
➤ Overview of Artificial Intelligence
➤ History and Evolution of AI
➤ Types of AI: Narrow AI vs General AI
➤ AI Applications in Real World (Healthcare, Finance, Retail, etc.)
➤ AI vs Machine Learning vs Deep Learning
➤ AI Ethics and Challenges
➤ AI tools and Libraries Overview

Module 2: Basics of Machine Learning (ML)
➤ Introduction to Machine Learning
➤ Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
➤ Key Concepts in ML: Data, Models, Algorithms
➤ Data Preprocessing and Feature Engineering
➤ Model Evaluation and Performance Metrics (Accuracy, Precision, Recall, F1 Score)
➤ Hands-on Project: Building a Simple ML Model using Python

Module 3: Supervised Learning Algorithms
➤ Linear Regression
➤ Logistic Regression
➤ Decision Trees and Random Forests
➤ Support Vector Machines (SVM)
➤ K-Nearest Neighbors (KNN)
➤ Naive Bayes Classifier
➤ Hands-on Project: Solving Classification and Regression Problems using Supervised Learning

Module 4: Unsupervised Learning Algorithms
➤ Introduction to Unsupervised Learning
➤ Clustering Techniques: K-Means, Hierarchical Clustering, DBSCAN
➤ Dimensionality Reduction Techniques: PCA (Principal Component Analysis), t-SNE
➤ Association Rule Learning
➤ Hands-on Project: Customer Segmentation using Clustering

Module 5: Introduction to Deep Learning
➤ Overview of Deep Learning
➤ Neural Networks and Artificial Neurons
➤ Activation Functions (Sigmoid, ReLU, Tanh)
➤ Gradient Descent and Backpropagation
➤ Introduction to TensorFlow and Keras
➤ Building a Simple Neural Network
➤ Hands-on Project: Implementing a Basic Neural Network using TensorFlow

Module 6: Convolutional Neural Networks (CNN)
➤ Introduction to CNNs and their Architecture
➤ Convolution, Pooling, and Fully Connected Layers
➤ CNN Applications: Image Classification, Object Detection
➤ Transfer Learning and Pre-trained Models
➤ Hands-on Project: Image Classification using CNN

Module 7: Recurrent Neural Networks (RNN)
➤ Introduction to Recurrent Neural Networks
➤ Understanding Sequence Data and Time Series
➤ Long Short-Term Memory Networks (LSTM) and Gated Recurrent Units (GRU)
➤ Applications of RNN: Natural Language Processing (NLP), Time Series Forecasting
➤ Hands-on Project: Text Classification or Sentiment Analysis using RNN/LSTM

Module 8: Natural Language Processing (NLP)
➤ Overview of Natural Language Processing
➤ Text Preprocessing Techniques (Tokenization, Lemmatization, etc.)
➤ Text Representation: Bag of Words, TF-IDF, Word2Vec
➤ Sentiment Analysis, Named Entity Recognition (NER), and Text Classification
➤ Hands-on Project: Building a Sentiment Analysis Model

Module 9: Reinforcement Learning (RL)
➤ Introduction to Reinforcement Learning
➤ Components of RL: Agent, Environment, Actions, Rewards
Markov Decision Process (MDP) and Q-Learning
➤ Deep Q Networks (DQN)
➤ Hands-on Project: Building a Basic Reinforcement Learning Model

Module 10: AI in Business Applications
➤ AI for Data Analytics and Predictive Modeling
➤ AI in Automation and Robotics
➤ AI in Healthcare: Diagnostics, Predictive Analysis
➤ AI in Finance: Fraud Detection, Risk Assessment
➤ AI in Retail: Recommendation Systems, Customer Insights
➤ Hands-on Project: Building an AI-based Business Application (e.g., Predictive Model or Chatbot)

Module 11: AI Tools and Libraries
➤ Introduction to Python for AI Development
➤ Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
➤ Introduction to TensorFlow, Keras, PyTorch, and OpenCV
➤ Working with Cloud Platforms: Google Cloud AI, AWS AI Services, Azure AI
➤ Building AI Applications using APIs and Cloud Tools

Module 12: AI Project and Capstone
➤ Real-World AI Problem Solving
➤ End-to-End AI Project Development
➤ Integrating Multiple AI Techniques (e.g., ML, NLP, CNN)
➤ Model Deployment and Optimization
➤ Final Capstone Project Presentation

Module 13: Career Guidance and Industry Trends
➤ Current Trends in AI and Emerging Technologies
➤ Preparing for AI Job Interviews
➤ Resume Building and Portfolio Development for AI Roles
➤ Career Pathways in AI: Data Scientist, AI Researcher, Machine Learning Engineer, etc.
➤ Connecting with AI Communities and Networking

📞FOR ENQUIRY

Become a AI Professional in 3 Months

"Empowering Innovation with Intelligent Solutions."

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Artifical IntelligenceCertification

Our Artificial Intelligence program equips you with essential skills in machine learning, deep learning, natural language processing, and computer vision. Gain hands-on experience with industry tools like TensorFlow, Keras, and Python. Learn to build AI models, deploy applications, and solve real-world problems across various domains. With our certification, you’ll be ready to pursue high-demand careers in AI, data science, and machine learning engineering. Join us to unlock exciting opportunities in this cutting-edge field!

Frequently Asked Questions (FAQ) - Artificial Intelligence Training at Eddoc Technology

1. What is Artificial Intelligence (AI)?
➤ Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and make decisions similar to humans. It includes various subfields like machine learning, deep learning, and natural language processing.

2. What skills will I learn in the AI training program?
➤ In this program, you will learn the fundamentals of AI, machine learning algorithms, deep learning techniques, natural language processing, computer vision, reinforcement learning, and AI applications in business. You will also gain hands-on experience with tools like TensorFlow, Keras, and Python.

3. Do I need prior programming knowledge to join the AI course?
➤ Basic programming knowledge in Python is recommended, but not mandatory. The course is designed for beginners, and we will cover Python programming as part of the curriculum.

4. Will this course help me get a job in AI?
➤ Yes, the course is designed to provide practical skills that are in demand in the AI job market. With a strong foundation in AI techniques, machine learning, and deep learning, you will be well-prepared for roles such as Data Scientist, AI Engineer, Machine Learning Engineer, and more.

5. What is the duration of the AI training course?
➤ The course duration is approximately 3 to 6 months, depending on your learning pace. The program includes theory, hands-on projects, and a capstone project for practical exposure.

6. Do you provide certificates after course completion?
➤ Yes, upon successfully completing the course, you will receive a certificate from Eddoc Technology that verifies your expertise in Artificial Intelligence and its various applications.

7. Is there any live project work involved in the course?
➤ Yes, throughout the course, you will work on various real-world projects, including machine learning models, neural networks, sentiment analysis, and AI-based business applications. You will also complete a capstone project to demonstrate your skills.

8. What are the prerequisites for the AI course?
➤ The prerequisites include basic knowledge of programming (preferably Python), an understanding of statistics, and a willingness to learn AI concepts. If you are new to programming, we offer introductory programming courses to help you get started.

9. Can I attend online AI training?
➤ Yes, we offer online training for AI, where you can attend live classes, access recorded sessions, and participate in discussions and assignments from anywhere in the world.

10. What tools and technologies will I learn in this course?
➤ You will work with a variety of tools and technologies, including Python, TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, and cloud platforms like AWS, Google Cloud, and Azure for deploying AI models.

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