Artificial Intelligence Basic to Advanced Course

Course Name - Artificial Intelligence Basic to Advanced Course

This comprehensive AI course covers fundamental to advanced topics. You’ll start with the basics of AI, its history, types, and ethical considerations.

Course Overview

This comprehensive AI course covers fundamental to advanced topics. You’ll start with the basics of AI, its history, types, and ethical considerations. The course delves into machine learning and data preparation, exploring supervised and unsupervised learning algorithms, model evaluation, and preprocessing techniques. You’ll learn neural networks, deep learning fundamentals, and advanced AI topics like NLP, reinforcement learning, GANs, and AI in robotics. The course culminates in a capstone project, providing hands-on experience with real-world AI applications.

What You'll Learn?

You’ll gain a solid understanding of AI fundamentals, machine learning algorithms, data preparation, and model evaluation. You’ll explore neural networks, deep learning techniques, NLP, reinforcement learning, GANs, and AI in robotics. Practical exercises and a capstone project provide hands-on experience with real-world AI applications.

Duration:

110 Hours

Requirements:

Nothing

Pre-requisite:

No pre-requisite

Batch Details

Batch Start Date

Batch Timing

Batch End Date

Batch Days

Curriculum

1. What is AI?

  • Definition and History of AI
  • Types of AI (Narrow AI vs. General AI)
  • Applications and Impact of AI

2. AI vs. Machine Learning vs. Deep Learning:

  • Differences and Relationships
  • Overview of Machine Learning and Deep Learning

3. Ethics in AI:

  • Ethical Considerations
  • Bias and Fairness in AI
  • Privacy and Security Issues

1. Introduction to Machine Learning

  • Overview and Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
  • Key Concepts (Features, Labels, Training, Testing)

2. Supervised Learning Algorithms:

  • Regression (Linear Regression, Polynomial Regression)
  • Classification (Logistic Regression, Decision Trees, k-Nearest Neighbors)
  • Model Evaluation (Confusion Matrix, Accuracy, Precision, Recall, F1 Score)

3. Unsupervised Learning Algorithms:

  • Clustering (K-means, Hierarchical Clustering)
  • Dimensionality Reduction (Principal Component Analysis)

4. Model Selection and Validation:

  • Cross-Validation Techniques
  • Hyperparameter Tuning

1. Data Collection and Integration:

  • Sources of Data
  • Data Acquisition Techniques

2. Data Cleaning and Transformation:

  • Handling Missing Values
  • Data Normalization and Standardization
  • Feature Engineering

3. Exploratory Data Analysis:

  • Data Visualization Techniques
  • Summary Statistics and Correlations

1. Basics of Neural Networks:

  • Neurons and Layers
  • Activation Functions (Sigmoid, ReLU, Tanh)

2. Feedforward Neural Networks:

  • Structure and Training
  • Backpropagation Algorithm

3. Advanced Neural Network Concepts:

  • Overfitting and Regularization (Dropout, L2 Regularization)
  • Optimization Techniques (Gradient Descent, Adam)

1. Introduction to Deep Learning:

  • Overview and Applications
  • Comparison with Traditional Machine Learning

2. Convolutional Neural Networks (CNNs):

  • Architecture and Components (Convolutional Layers, Pooling Layers)
  • Applications in Image Processing

3. Recurrent Neural Networks (RNNs):

  • Basics of RNNs
  • Long Short-Term Memory (LSTM) Networks
  • Applications in Sequence Data

4. Transfer Learning:

  • Concept of Transfer Learning
    Pre-trained Models and Fine-Tuning

1. Natural Language Processing (NLP):

  • Text Processing Techniques (Tokenization, Lemmatization)
  • Text Representation (Bag of Words, TF-IDF, Word Embeddings)
  • NLP Models (Sentiment Analysis, Named Entity Recognition)

2. Reinforcement Learning:

  • Basics of Reinforcement Learning
  • Key Concepts (Agent, Environment, Reward, Policy)
  • Q-Learning and Deep Q-Networks (DQN)

3. Generative Adversarial Networks (GANs):

  • Introduction to GANs
  • Architecture (Generator, Discriminator)
  • Applications and Examples

4. AI in Robotics:

  • Basics of Robotics
  • Integration of AI in Robotics
  • Examples and Applications

1. AI Project Lifecycle:

  • Problem Definition and Goal Setting
  • Data Collection and Preparation
  • Model Building, Evaluation, and Deployment

2. AI Tools and Libraries:

  • Overview of Libraries (TensorFlow, Keras, PyTorch, scikit-learn)
  • Practical Hands-on with Tools

3. Case Studies and Applications:

  • Real-World AI Applications (Healthcare, Finance, Autonomous Vehicles)
  • Analysis of Successful AI Projects

1. Project Planning:

  • Defining Project Objectives and Scope
  • Data Collection and Preparation

2. Implementation:

  • Model Selection and Training
  • Evaluation and Optimization

3. Presentation and Reporting:

  • Documenting Findings
  • Creating a Final Report and Presentation

This syllabus is designed to provide a structured learning path from basic concepts to advanced applications in AI, incorporating practical exercises and real-world projects.

FAQ

Since our inception in 2021, Tech Learniversity has been dedicated to mastering the art of online education. Our unwavering commitment to delivering quality education, exceptional services, and unparalleled customer support has fostered a loyal community that continues to grow. We relentlessly pursue improvement and expansion to serve learners worldwide. Our graduates, now employed by multinational corporations, stand testament to the transformative impact of our training programs.

Tech Learniversity stands as a premier e-learning platform, offering live, interactive online training across a wide range of subjects, including Data Science, Cybersecurity, Business Intelligence, and more. Our affordable and accessible learning solutions serve a global audience, creating a vast community of learners from the US, India, the UK, Canada, and beyond.

Below are the services offered by Tech Learniversity.

1. Online Training Courses
2. Corporate Training
3. Online Institute Training
4. Online College Training
5. Online School Training
6. Online Customized 1 to 1 Training Courses
7. Online Customized Group Training Courses
8. Online Professional Internship Program
9. Online Interview Preparation Training
10.Online Customized Project Preparation
Below are benefits to be considered before choosing us ahead of others.

Why Choose Us

  1. Live Instructor Led Training
Class will be live Instructor led training and the trainers are experienced software working professionals in MNC’s. They face challenges every day at work and they know how to tackle them which they will teach it to the students. Trainers will teach them theory, concepts along with giving them basic to advanced level examples which will be useful for the students when they attend any interview or while working in any company.

  1. In-depth Industry Ready Training
Our trainers are experienced software working professionals in MNC’s so the training will be in-depth which will make the students Industry ready and the students can work independently when they join any company.

  1. Live Projects
Students will be provided 3 to 8 live projects in a particular course so that they get enough practice during and after completion of the course. This will give them confidence to work with any company as the level of work in any company will be complex.

  1. Watch recorded Video for Online and Offline Viewing
Students will be able to view the recorded class video on Tech Learniversity app online and offline by downloading the video in mobile. They can also watch the video in desktop and laptop by using our web version.

  1. Internship Program
Students will be getting Internship Certificate after completion of Internship Program which is of 3 months. We provide Internship program in almost each course so that they will find it easy to join and work with any company after completion of Internship Program. If any student has already done any course from others but only want to do Internship Program from us, they can also join our Internship Program of 3 months.

  1. Letter of Recommendation (LOR)
After successful completion of the Course and Internship Program they will get Letter of Recommendation (LOR) if they perform well as per instructions provided to them by the respective trainers.

  1. Real time working experience
We have designed all our courses and Internship Program in such a way that the students get real time working experience. This will benefit students to work independently when they join any company.

  1. Job Interview Preparation
There will be a separate session for Job Interview preparation where our trainers will guide the students about how to crack any interview, help in resume preparation and also provide tips and tricks for interview. We will also provide resources which will help in preparation of the Interview.

  1. Customized 1 to 1 Training
We also provide customize training based on the student requirements. We conduct free demo to student so that student get a chance to interact with trainer before they take the 1 to 1 class.

  1. Customized Group Training
We also provide customize training to small groups based on student’s requirements. We conduct free demo to students so that students get a chance to interact with trainer before they take the small group class.

  1. Referral Bonus
Students are also eligible for referral bonus once they purchase a course from us.

  1. Freelance Work
We will also provide tips on how to register for freelance work so that they can work as a full-time freelancer or part time freelancer to earn extra income during their free time.

  1. Community for Discussion
We will have experts and students who can discuss their queries, doubts and also can share their thoughts, solutions with each other.

  1. Superfast Support
We will provide superfast support to any queries or concern so that our students are satisfied with our services.

All the Tech Learniversity course available on our website are live Instructor led training.

Yes, we do have app available on Play Store & App Store.

Play Store: Tech Learniversity link: https://play.google.com/store/apps/details?id=co.lily.zustc
IOS Store: My Institute link: https://apps.apple.com/in/app/my-institute/id1472483563

How to Login to IOS App (My Institute)

  1. Download the My Institute app
  2. Enter the Org code: ZUSTC

We do not provide EMI facility but you can convert through Credit Card or any other method as per availability.

We will provide placement assistance after the completion of the course in coming months.

Classes will be conducted on Zoom app and link will be shared via e-mail. We will be sending you the instructions on how to attend the live class in your mobile, laptop or desktop once you enroll in any of our courses.

Yes, you can watch recordings in the mobile app or by visiting our web version with your login credentials. You will find the recording in your purchased course section after you login.  We will be sending you the instructions on how to view the recorded live class in your mobile, tablet, laptop or desktop.

Yes, you will get Completion Certification after completion of the course.

Tech Learniversity is ISO Certified (ISO 9001:2015) firm which has good value in corporate world. Certificate Number is 305022111717Q.

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