ARTIFICIAL INTELLIGENCE
₹4130.00 ₹9000.00 54% OFF
Course Overview
Duration: 2 Months
Format: Recorded Training & Hands-On Projects
Month 1: Training with Industry Mentors
- Objective: Gain foundational knowledge and insights from experienced professionals.
- Format: A combination of live sessions and recorded content, providing flexibility for participants.
Key Components:
- Recorded Content: Access to pre-recorded sessions for flexible learning at your own pace.
- Topics Covered: Current industry trends, best practices, technical skills, and soft skills development.
Month 2: Hands-On Project Experience
- Objective: Apply learned concepts through practical experience.
Key Components:
- Live Research and Development Projects: Participants will engage in both minor and major projects, working on real-world challenges.
- Collaboration: Work in teams to foster collaboration, problem-solving, and innovation.
- Mentorship: Continuous support and guidance from industry mentors throughout the project phase.
Certification
Upon successful completion of the program, participants will receive:
- Course Completion Certificate: Recognizing the completion of the training and project components.
- Collaborated Internship Completion Certificate: Validating the hands-on experience gained during the program.
Schedule of Classes
Course Curriculum
1 Subject
ARTIFICIAL INTELLIGENCE
6 Exercises • 42 Learning Materials
Module 1- Introduction AI and Python Essentials
Introduction AI and Python Essentials Part-1
Introduction AI and Python Essentials Part-2
Introduction AI and Python Essentials Part-3
Introduction AI and Python Essentials Part-4
Introduction AI and Python Essentials Part-5
Introduction AI and Python Essentials Part-6
Module Notes
AI
Module 2- Problem Solving Agents And Search Alorithms
Problem Solving Agents And Search Alorithms Part-1
Problem Solving Agents And Search Alorithms Part-2
Problem Solving Agents And Search Alorithms Part-3
Problem Solving Agents And Search Alorithms Part-4
Problem Solving Agents And Search Alorithms Part-5
Module-2 Notes
AI QUIZ 2
Module 3- Rule Based Systems & Traditional Machine Learning
Rule Based Systems and Traditional Machine Learning Part-1
Rule Based Systems and Traditional Machine Learning Part-2
Rule Based Systems and Traditional Machine Learning Part-3
Rule Based Systems and Traditional Machine Learning Part-4
Rule Based Systems and Traditional Machine Learning Part-5
Rule Based Systems and Traditional Machine Learning Part-6
Module-3 Notes
Module-3 Resource Code
AI QUIZ 3
Rule Based Systems and Traditional Machine Learning Part-7
Module 4- Unsupervised Learning And Probabilistic Reasoning
Unsupervised Learning And Probabilistic Reasonong Part-1
Unsupervised Learning And Probabilistic Reasonong Part-2
Unsupervised Learning And Probabilistic Reasonong Part-3
Unsupervised Learning And Probabilistic Reasoning Part-4
Unsupervised Learning And Probabilistic Reasoning Part-5
Unsupervised Learning And Probabilistic Reasoning Part-6
Code
Presentation
AI QUIZ 4
MODULE 5 - Deep Learning & Computer Vision
Deep Learning & Computer Vision Part- 1
Deep Learning & Computer Vision Part- 2
Code
Presentation
AI QUIZ 5
Module 6 - NLP, Generative AI & Industry Applications
NLP, Generative AI & Industry Applications Part -1
NLP, Generative AI & Industry Applications Part -2
NLP, Generative AI & Industry Applications Part -3
NLP, Generative AI & Industry Applications Part -4
NLP, Generative AI & Industry Applications Part -5
Presentation
PROJECT
Code
project submit
Course Instructor
Info
13 Courses • 627 Students
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