CoRover Certified AI Professional (C-CAP)

Name: CoRover Certified AI Professional (C-CAP)
Rating: 4.7 (157 reviews)

Artificial Intelligence, Responsible AI, GenAI, Sovereign AI, LLM's (BharatGPT, Gemini, ChatGPT) #AllCanCreateAIAgents

Created byCoRover Private Limited

Last updated 8/2025

English

What you'll learn

Learners will gain a comprehensive understanding of AI, covering core components, functionality, ethical considerations, & various types & applications.
Explore Responsible AI concept, CoRover's Responsible AI framework, risks associated with irresponsible AI usage, & best practices for implementation.
This course equips learners with the skills to apply Responsible AI practices in real-world scenarios.
Gain insights into AI technologies—Generative AI, Sovereign AI, Composite AI, & Predictive AI—exploring their potential responsible use.
Comprehensive Learning Overview: Explore BharatGPT, ChatGPT, Gemini, Llama & Bhashini in depth.
Hands-on Project: Build conversational Gen AI agents and design a virtual assistant.
Upon completing the hands-on project and creating a virtual assistant on the CoRover builder platform, learners will become AI developer.
Example: Once you create virtual assistant you will become CoRover Certified Professional.

Course content

8 sections • 37 lectures • 2h 8m total length

What is AI1:25
After completing this lecture, learners will gain an understanding of basics of AI and its key areas.
How does AI Work2:46
After completing this lecture, learners will understand how AI works, the role of data, and the ethical considerations involved.
Types of AI3:00
After completing this lecture, learners will understand the different types of AI.
Exam - Section 1 (AI)

What is Responsible AI0:38
After completing this lecture, learners will understand the concept of Responsible AI.
Responsible AI Framework3:57
After completing this lecture, learners will understand the Responsible AI framework.
Benefits of Responsible AI2:55
After completing this lecture, learners will understand the benefits of Responsible AI.
Limitations of Responsible AI3:05
After completing this lecture, learners will understand the limitations of Responsible AI.
Risks of Irresponsible AI Usage2:28
After completing this lecture, learners will understand the risks related to Irresponsible AI usage.
Implementing Responsible AI Practices3:31
After completing this lecture, learners will understand how to implement Responsible AI practices.
Exam - Section 2 (Responsible AI)

Conversational AI, Predictive AI, Composite AI and Sovereign AI8:14
After completing this lecture, learners will understand the various types of AI- Conversational AI, Predictive AI, Composite AI and Sovereign AI.
What is Generative AI0:30
After completing this lecture, learners will understand the concept of Generative AI
How Generative AI Works1:46
After completing this lecture, learners will understand how Generative AI works.
Potential Benefits of Generative AI1:23
After completing this lecture, learners will understand the benefits of Generative AI.
Nuances in AI Bias3:28
After completing this lecture, learners will understand the nuances present in AI bias.
Planning a Responsible Generative AI Solution1:41
After completing this lecture, learners will understand how to plan a Responsible Generative AI solution.
Measuring Potential Harms & Mitigate Potential Harms3:17
After completing this lecture, learners will understand how to measure & mitigate potential harms.
ChatGPT, Gemini, BharatGPT & Llama5:40
After completing this lecture, learners will understand the detailed concept of ChatGPT, Gemini, BharatGPT & Llama.
Agentic AI4:07
After completing this lecture, learners will understand the concept of Agentic AI
Bhashini4:51
After completing this lecture, learners will learn about Bhashini, a multilingual language translation mission developed by Ministry of Electronics & Information Technology (MeitY).

What is Accessible AI0:41
After completing this lecture, learners will understand the concept of Accessible AI.
Key Dimensions of Accessible AI1:55
After completing this lecture, learners will understand the key dimensions of Accessible AI.
Types of Accessible AI Technologies2:05
After completing this lecture, learners will understand the different types of Accessible AI technologies.
Benefits of Accessible AI1:29
After completing this lecture, learners will understand the benefits Accessible AI.
Challenges and Considerations in Implementing Accessible AI Technologies0:40
By the end of this lecture, learners will have a clear understanding of the challenges and key considerations involved in implementing Accessible AI technologies.
Accessible AI Case Studies & Hands-on Tutorials0:22
By the end of this lecture, learners will clearly understand Accessible AI through case studies and hands-on tutorials.

What is AI Explained Using Cat & Dog Example (Reinforcement Learning Concept)2:15
By the end of this lecture, learners will have a clear understanding of AI using Cat & Dog example using reinforcement learning.
Machine Learning Techniques - Neural Network6:50
By the end of this lecture, learners will have a clear understanding of ML technique - Neural Network.
Machine Learning Techniques - Reinforcement Learning2:29
By the end of this lecture, learners will have a clear understanding of ML technique - Reinforcement Learning.
Machine Learning Techniques - Regression3:34
By the end of this lecture, learners will have a clear understanding of ML technique - Regression.
Machine Learning Techniques - Classification5:11
By the end of this lecture, learners will have a clear understanding of ML technique - Classification.
Computer Vision11:11
By the end of this lecture, learners will have a clear understanding about Computer Vision.
Intent Classification & Entity Extraction11:52
By the end of this lecture, learners will have a clear understanding about Intent Classification & Entity Extraction.

Demo: Google Gemini Virtual Assistant (ChatBot, VoiceBot) Using No Code Platform4:14
Create a branded multilingual conversational AI agent with Google Gemini on a no-code platform, using form-based setup, classic NLP, rag pipeline, and prompt generative AI, for multi-channel deployment with analytics.
Create Virtual Assistant Using No Code Builder Platform3:04
Try creating AI Agent/Co-Pilot/Virtual Assistant (ChatBot, VoiceBot, VideoBot) now: https://builder.corover.ai
Demo: Self Service (No Code) Conversational AI Platform | ClassicNLP + GenAI7:27

Requirements

No prior experience required

Description

Now Everyone Can Become AI Developer and GenAI Professional.

The course is perfect for anyone curious about Artificial Intelligence, from students and professionals to entrepreneurs and business leaders. Designed to provide a solid foundation in AI, it’s ideal for those eager to explore career opportunities, gain hands-on experience, and use AI to drive business success.

Throughout the course, you’ll develop practical skills by working on projects like creating conversational AI Agents, Co-Pilots and designing Virtual Assistants (Chatbots, Voicebots and Videobots). This hands-on experience allows you to explore real-world applications of AI, making it easier to understand how these technologies can benefit businesses and enhance customer engagement.

No prior experience with AI or coding is necessary! The course is tailored for learners from any background, enabling you to become an AI app developer with no-code platform. By the end, you’ll be equipped with valuable skills and insights to apply AI effectively in any field.

Join a vibrant community of learners and gain access to expert instructors, interactive materials, and valuable resources that support your AI journey. Whether you’re looking to innovate within your organization, launch your own AI-driven venture, or advance your career in the tech industry, this course provides the essential tools and understanding to achieve your goals. Enroll today and transform your understanding of AI into actionable expertise!

Who this course is for:

Perfect for anyone interested in Artificial Intelligence! This essential course is designed for students, professionals, employees, entrepreneurs, and business leaders seeking to build a strong foundation in AI, explore career opportunities, gain practical skills, and apply AI insights to enhance business outcomes.

CoRover Certified AI Professional (C-CAP)

What you'll learn

Explore related topics

Course content

Introduction to AI (Week 1/Day 1)3 lectures • 7min

Introduction to Responsible AI (Week 1/Day 2)6 lectures • 17min

Introduction to Gen AI & Various Types of AI (Week 1/Day 3)10 lectures • 35min

Introduction to Accessible AI (Week 1/Day 4)6 lectures • 7min

Introduction to Machine Learning Techniques (Week 1/Day 5)7 lectures • 43min

Introduction to Prompt Engineering (Week 1/Day 6)1 lecture • 4min

Hands-on Project : Create Conversational Gen AI Agents or Co-Pilots. (Week-2)3 lectures • 15min

Submit Your Virtual Assistant Project1 lecture • 1min

Requirements

Description

Who this course is for: