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Artificial Intelligence (AI) with Tools and Project

This comprehensive course covers AI fundamentals, tools, and projects, focusing on practical applications in resume creation, job search, candidate shortlisting, and skills matching. Students will gain hands-on experience with AI technologies and develop problem-solving skills.

Key Learnings:

• Grasp the fundamental concepts of AI as they apply to project management.
• Apply AI tools to optimize project scheduling and resource allocation.
• Utilize AI techniques for effective risk prediction and mitigation strategies.
• Seamlessly integrate AI solutions into their project management practices.
• Evaluate the benefits and potential challenges of AI in project settings.

Course Outline

Module 1: Introduction to AI

1.1. AI basics

1.2. AI applications

1.3. AI frameworks and tools

1.4. Large Language Models (LLMs) Overview

Module 2: Machine Learning Fundamentals

2.1. Supervised and unsupervised learning

2.2. Regression, classification, clustering

2.3. Neural networks and deep learning

2.4. Introduction to PyTorch and TensorFlow

Module 3: Natural Language Processing (NLP)

3.1. Text preprocessing

3.2. Sentiment analysis

3.3. Entity recognition

3.4. LLMs for NLP (e.g., BERT, RoBERTa)

Module 4: AI for Resume Creation

4.1. Resume parsing

4.2. Automated resume generation

4.3. Resume screening using LLMs

Module 5: AI-powered Job Search

5.1. Job posting analysis

5.2. Job recommendation systems

5.3. Automated job application using AI

Module 6: Candidate Shortlisting and Skills Matching

6.1. Candidate profiling

6.2. Skills matching algorithms

6.3. Automated shortlisting using AI

Module 7: Project Development and Deployment

7.1. Project ideation and planning

7.2. Development and testing

7.3. Deployment and maintenance

Module 8: Working with APIs

8.1. LinkedIn API

8.2. Indeed API

8.3. Glassdoor API

8.4. ZipRecruiter API

A.I. Projects:

1. Resume Creation AI Application
2. Job Search AI Application
3. Candidate Shortlisting and Skills Matching AI Application
4. Resume screening and ranking
5. Job description analysis and optimization
6. Candidate sourcing and matching
7. Chatbots for candidate engagement
8. Predictive analytics for recruitment

Career Benefits:

1. AI Engineer
2. NLP Specialist
3. Machine Learning Engineer
4. Data Scientist
5. Business Intelligence Developer
6. AI Researcher

Course Audience:

1. IT professionals
2. Data scientists
3. Software developers
4. Business analysts
5. Researchers
6. Students (Computer Science, IT, Engineering)

Prerequisites:

1. Basic programming knowledge (Python)
2. Familiarity with data structures and algorithms
3. Basic understanding of machine learning concepts

International Student Fees: USD: 650$

Job Interview Preparation  (Soft Skills Questions & Answers)

• Tough Open-Ended Job Interview Questions
• What to Wear for Best Job Interview Attire
• Job Interview Question- What are You Passionate About?
• How to Prepare for a Job Promotion Interview

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Flexible Class Options

• Week End Classes For Professionals  SAT | SUN
• Corporate Group Trainings Available
• Online Classes – Live Virtual Class (L.V.C), Online Training

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