• Understanding Artificial Intelligence
• Historical Overview of AI
• Scope and Applications of AI
• AI in Everyday Life

• What Is Machine Learning?
• Types of Machine Learning
• Supervised, Unsupervised ML
• Data Preparation and Preprocessing
• Model Training and Evaluation

• Neurons and Activation Functions
• Building Blocks of Neural Networks
• Deep Learning in AI
• Artificial Neural Networks (ANN)
• Training Deep Learning Models

• Intro to NLP and It's Significance
• Tokenization and Text Processing
• Sentiment Analysis using AI
• Language Modeling in AI
• Chatbots and Conversational AI

• Image Processing, Feature Extraction
• Object Detection using AI Models
• Image Classification using AI
• Face Recognition using AI
• OCR (Optical Character Recognition)
• Applications of Computer Vision

• AI in Healthcare: Diagnosis, Treatment
• AI in Finance: Trading and Risk
• AI in E-commerce: Chatbots
• AI in Vehicles and Robotics: Tesla

• Avoiding AI Bias and Fairness
• Privacy and Data Security in AI
• Regulations and Compliance
• The Future of AI and Best Practices

• Effective Communication Skills
• Business Writing and Email Etiquette
• Professional Phone and Video Calls
• Interpersonal Communication
• Cross-Cultural Communication
• Conflict Resolution and Negotiation
• Business Presentation Skills
• Listening and Feedback
• Building Rapport and Networking
• Nonverbal Communication

• Creating a Strong LinkedIn Profile
• Optimizing Your LinkedIn Network
• Resume Writing Essentials
• Showcasing Achievements and Skills
• Customizing Resumes for Job Applications
• Cover Letter Writing
• Online Portfolio Development
• Personal Branding
• LinkedIn Job Search Strategies
• Resume Tailoring for Specific Roles

• Understanding Different Interview Formats
• Common Interview Questions and Answers
• Behavioral Interview Techniques
• Technical Interview Preparation
• Mock Interviews and Feedback
• Body Language and Interview Etiquette
• Researching Companies and Industries
• Handling Tough Interview Questions
• Negotiation Skills for Job Offers
• Interview Follow-Up and Thank You Notes

• Programming Language Review
• Data Structures and Algorithms
• Problem-Solving Strategies
• Coding Challenges and Practice
• Version Control with Git
• Debugging and Error Handling
• Software Development Best Practices
• Coding Standards and Style Guidelines
• Technical Documentation
• Continuous Learning in Tech

Yes, post completion, you will get a certificate of completion of your course. Additionally, you will also get completion certificate for successfully clearing milestone competency tests.

In case you miss a class, you can watch the recording later. If you miss multiple classes, you can switch to another Cohort.

You will have lifetime access to the entire Artificial Intelligence course content, including recordings, materials, assessments, and projects.

You can get your doubts resolved by connecting with our subject matter experts over text or video call!

Passing a module means completing Competency Challenges, Capstone Projects and Mentored Mock Interview.

Once you clear the Foundation Track you will earn a certificate of completion. Post that you will be eligible to participate in our placement drive.

Yes, we believe in making a long-term relationship with our students. We will help you in switching jobs through our strong alumni network.