LIVE ONLINE GENERATIVE AI & AI AGENTS INTERNSHIP
Build practical skills in Generative AI, Large Language Models, Prompt Engineering, AI Agents, RAG, AI Automation, APIs and real-world AI application development. Gain practical experience through structured internship activities, hands-on assignments and portfolio-ready AI projects.
+ AI AGENTS LLMs • RAG • Agents
Automation • APIs • AI Apps
Generative AI
Learn modern generative AI tools, LLMs, prompting and practical AI workflows.
AI Agents
Build intelligent agent workflows that can plan tasks and use tools.
AI Automation
Create practical AI-powered automations for real-world workflows.
Internship Certificate
Receive applicable completion documentation after meeting internship requirements.
Build Real-World AI Applications + Automations
A structured live online internship program for students, freshers, developers, entrepreneurs and aspiring AI professionals who want practical experience with Generative AI, LLMs, AI Agents, RAG and automation.
🧠 What You'll Learn
Understand how modern AI applications and AI agents are designed, connected to tools, automated and deployed.
- ✓Generative AI & Large Language Models
- ✓Prompt Engineering
- ✓LLM APIs & AI Application Development
- ✓AI Agents & Tool Calling
- ✓RAG, Embeddings & Vector Databases
- ✓AI Automation & Workflow Design
✨ Why Learn Generative AI & AI Agents?
Modern AI development is moving beyond simple chatbots toward AI-powered applications, autonomous workflows and intelligent automation.
- ✓Build AI-powered applications
- ✓Create AI agents
- ✓Connect AI with external tools
- ✓Build RAG knowledge assistants
- ✓Automate repetitive workflows
- ✓Create portfolio-ready AI projects
Go Beyond ChatGPT — Build Real AI Systems
Learn how to turn AI models into useful applications, intelligent agents and automation workflows.
Generative AI
Understand LLMs, foundation models, multimodal AI and modern generative AI workflows.
AI Agents
Learn planning, memory, tool use, instructions and multi-step agent workflows.
AI Automation
Design intelligent workflows that combine AI with business processes and automation.
RAG & Knowledge AI
Build knowledge assistants using documents, embeddings, retrieval and LLMs.
APIs & Tool Calling
Connect AI applications with APIs, databases, functions and external tools.
AI Deployment
Explore practical deployment, APIs, Docker, monitoring and production concepts.
LIVE ONLINE GENERATIVE AI & AI AGENTS INTERNSHIP
Build Real-World AI Applications + Automations
Apply Before Today's Deadline
Registration deadline updates automatically for the current day.
Internship Registration Form
Register for the LIVE ONLINE GENERATIVE AI & AI AGENTS INTERNSHIP. Complete the form carefully and provide accurate information.
56 Modules in Generative AI & AI Agents
A structured curriculum covering Generative AI, LLMs, prompt engineering, AI agents, RAG, vector databases, automation, APIs, AI applications, deployment and AI security.
Build Real Generative AI & AI Agent Applications
Build practical AI applications that demonstrate your ability to use LLMs, RAG, agents, APIs and automation.
🤖 AI Research Agent
Build an AI research assistant that can break down a research task, collect information through connected tools, summarize findings and produce a structured report.
⚡ AI Business Automation Agent
Create an AI-powered workflow that receives information, processes it using an LLM, makes structured decisions and triggers automated actions through connected tools.
💬 Custom AI Chatbot
Build a conversational AI assistant using an LLM API with custom instructions and conversation handling.
📚 RAG Knowledge Assistant
Build a document-based AI assistant using embeddings, retrieval and grounded LLM responses.
🔎 AI Document Analyzer
Create an AI application that extracts information, summarizes documents and answers questions from uploaded files.
📧 AI Email Automation
Create an AI workflow that categorizes incoming messages, generates drafts and routes tasks automatically.
🤖 Multi-Tool AI Agent
Build an agent capable of using multiple tools and APIs to complete multi-step tasks.
🚀 AI Automation Platform
Combine LLMs, agents, APIs and automation into a complete AI-powered workflow application.
Complete Your Internship With Career Documentation
After successfully meeting the applicable internship requirements, eligible learners can receive relevant completion documentation and credentials.
Earn Your Generative AI Internship Certificate
Successfully complete your LIVE ONLINE GENERATIVE AI & AI AGENTS INTERNSHIP and receive applicable completion documentation.
Certificate design shown above is the Generative AI Internship Certificate.
Skills You Can Build for Generative AI Careers
The internship is designed to help you develop practical skills relevant to modern AI application and automation workflows.
🤖 Generative AI Developer
Build applications using LLMs, APIs, prompting and modern AI tools.
🧠 AI Agent Developer
Design and develop agentic workflows that can use tools and complete tasks.
⚡ AI Automation Specialist
Create intelligent automation workflows for business and productivity use cases.
📚 RAG / LLM Developer
Build knowledge assistants using embeddings, retrieval and language models.
💬 Conversational AI Developer
Build intelligent conversational experiences and AI assistants.
🚀 AI Application Developer
Integrate AI models into web applications, APIs and production workflows.
What Learners Can Say About the Training
The following are sample testimonial placeholders. Replace them with verified learner feedback before publishing.
“The training helped me understand how Generative AI works beyond simple prompting. Building an actual AI application made the concepts much easier to understand.”
Shikha Verma Internship Participant“I learned how LLM APIs, RAG and AI agents can be connected to create useful applications. The project work gave me practical experience.”
Ananya Sharma Internship Participant“The AI Agent modules helped me understand how an AI system can use tools and complete multi-step tasks.”
Rohan Verma Internship Participant“I wanted practical Generative AI skills rather than only theory. The automation and agent projects were especially useful.”
Priya Singh Internship Participant“Learning RAG, embeddings and vector databases gave me a much clearer understanding of how enterprise AI assistants can work.”
Ethan Williams Internship Participant“The final AI Agent project helped me connect prompting, APIs, tools and automation into one complete application.”
Olivia Johnson Internship ParticipantWhat Students Can Gain From a Generative AI Internship
📚 Structured Learning
- ✓ Step-by-step Generative AI internship curriculum
- ✓ Practical AI Agent assignments
- ✓ Real-world automation workflows
- ✓ Portfolio-oriented AI projects
💼 Career Preparation
- ✓ AI internship project experience for your resume
- ✓ Practical LLM and AI terminology
- ✓ Experience explaining AI projects
- ✓ Training completion documentation
LIVE ONLINE GENERATIVE AI & AI AGENTS INTERNSHIP
Build Real-World AI Applications + Automations
Internship Registration Form
Register for the LIVE ONLINE GENERATIVE AI & AI AGENTS INTERNSHIP. Complete the form carefully and provide accurate information.
Build Your Future With Generative AI & AI Agents.
Learn, build, automate and create portfolio-ready AI applications through a structured LIVE ONLINE internship experience.
Apply for GENERATIVE AI & AI AGENTS Internship →Generative AI & AI Agents Internship – Frequently Asked Questions
Find answers to common questions about the Generative AI & AI Agents Internship, including eligibility, projects, AI agents, LLMs, prompt engineering, RAG, AI automation, certificates, career skills, internship projects and registration.
1. What is a Generative AI and AI Agents Internship? +
A Generative AI & AI Agents Internship is a practical learning experience focused on building applications using Generative AI, Large Language Models (LLMs), AI agents, prompt engineering, retrieval-augmented generation (RAG), APIs and AI automation. The internship is designed to help students gain practical experience through AI projects and applications.
2. Who can apply for the Generative AI & AI Agents Internship? +
Students, graduates and learners interested in Artificial Intelligence, Generative AI, Machine Learning, software development, automation and emerging AI technologies can apply. Students from computer science, information technology, engineering and related backgrounds may find the internship particularly relevant.
3. Is this Generative AI internship suitable for beginners? +
Yes. The internship curriculum starts with Generative AI fundamentals and progressively introduces LLMs, prompt engineering, AI agents, RAG, APIs, automation and AI application development. Beginners can use the internship to build their understanding step by step.
4. What will I learn during the Generative AI internship? +
Students learn concepts and practical workflows related to Generative AI, Large Language Models, prompt engineering, AI APIs, AI agents, RAG systems, embeddings, vector databases, AI automation, AI research workflows, AI coding assistants, application development and deployment.
5. What are AI agents? +
AI agents are AI-powered systems designed to perform tasks by using instructions, reasoning workflows, tools, data sources or APIs. Depending on their design, AI agents can automate research, information processing, business workflows, document analysis, communication and other repetitive tasks.
6. What is Generative AI? +
Generative AI refers to artificial intelligence systems capable of generating content such as text, code, images, summaries and other outputs based on learned patterns and user instructions. Modern Generative AI applications commonly use large language models and other foundation models.
7. What is the difference between Generative AI and AI Agents? +
Generative AI focuses on producing outputs such as text, code or other generated content. AI agents can use AI models as part of a broader workflow to perform tasks, interact with tools, retrieve information and automate multi-step processes.
8. Will I work on practical Generative AI projects? +
Yes. The internship curriculum includes practical AI application and automation projects. Project-based learning can help students understand how Generative AI concepts are applied to real-world application scenarios.
9. What projects can I build during the AI Agents internship? +
Projects covered in the internship include an AI Research Agent, AI Business Automation Agent, Custom AI Chatbot, RAG Knowledge Assistant, AI Document Analyzer, AI Email Automation system, Multi-Tool AI Agent and an AI Automation Platform.
10. Will I learn how to build AI agents? +
Yes. AI agent development is a major part of the internship curriculum. Students are introduced to agent concepts, tool usage, multi-step workflows, AI automation and practical agent-based applications.
11. Will I learn about Large Language Models or LLMs? +
Yes. The internship includes Large Language Model fundamentals and practical concepts related to using LLMs in Generative AI applications, AI assistants, chatbots, RAG systems and AI agents.
12. Is prompt engineering included in the internship? +
Yes. Prompt engineering is included as part of the Generative AI curriculum. Students learn how prompts and instructions can be structured to improve interactions with AI models and build practical AI applications.
13. Will I learn Retrieval-Augmented Generation or RAG? +
Yes. The internship covers Retrieval-Augmented Generation (RAG), embeddings, knowledge retrieval and vector database concepts. These technologies can be used to build AI applications that work with external or domain-specific information.
14. Will I learn how to use AI APIs? +
Yes. The internship curriculum includes AI APIs and their use in Generative AI applications. Students can learn how APIs connect AI models with software applications and automated workflows.
15. Does the internship cover AI automation? +
Yes. AI automation is an important part of the internship. Students explore how AI agents and AI models can be integrated into automated workflows for research, business processes, documents, email and other tasks.
16. Which technologies and tools are covered? +
The curriculum covers technologies and concepts including Generative AI, LLMs, prompt engineering, AI APIs, AI agents, RAG, embeddings, vector databases, AI automation, Streamlit, FastAPI, AI coding assistants and application deployment.
17. Do I need Python knowledge for this internship? +
Basic programming knowledge can be useful when developing AI applications, APIs and automation workflows. However, the internship begins with foundational Generative AI concepts before progressing toward more practical application development.
18. Can non-computer science students apply for this internship? +
Yes. Students from different academic backgrounds who are interested in Generative AI, automation and AI applications can explore the internship. Technical requirements may vary depending on the projects a student chooses to develop.
19. Is the Generative AI & AI Agents Internship available online? +
Yes. The program is presented as an online Generative AI and AI Agents internship, allowing students to participate remotely and work through the internship learning and project activities.
20. How long is the Generative AI internship? +
The internship duration and completion schedule are provided during registration and internship onboarding. Students should check the current internship page and registration information for the applicable duration and schedule.
21. Will I receive a Generative AI internship certificate? +
Students who successfully complete the applicable internship requirements can receive an internship certificate. The certificate documents participation and completion of the Generative AI & AI Agents Internship according to the program requirements.
22. Is a Letter of Recommendation or LOR available? +
A Letter of Recommendation may be provided according to the internship's applicable completion and eligibility requirements. Students should confirm the current LOR policy during registration or onboarding.
23. Can I add the Generative AI internship to my resume? +
Students can include completed internship experience and relevant projects on their resume, provided the information accurately represents the work they completed. Project descriptions can highlight skills such as Generative AI, LLMs, AI agents, RAG, automation and AI application development.
24. Can I use my AI internship projects in my portfolio? +
Students can showcase projects they actually completed during the internship, subject to any applicable project, intellectual property or usage restrictions. A portfolio can demonstrate practical experience with AI agents, RAG, chatbots, automation and other Generative AI applications.
25. What career roles are related to Generative AI and AI Agents? +
Career paths related to the skills covered by the internship can include Generative AI Developer, AI Agent Developer, AI Automation Specialist, RAG or LLM Developer, Conversational AI Developer and AI Application Developer.
26. Is this internship useful for AI and Machine Learning students? +
The internship can complement AI and Machine Learning studies by providing exposure to Generative AI, LLM applications, AI agents, RAG, prompt engineering and AI automation. It can help students connect AI concepts with application development.
27. Is this internship useful for engineering and college students? +
Yes. Engineering and college students interested in Artificial Intelligence, software development, automation and emerging technologies can use the internship to develop practical project experience alongside their academic studies.
28. How can I register for the Generative AI & AI Agents Internship? +
Students can visit the Generative AI & AI Agents Internship page on LetsIntern, review the program information and complete the registration form provided on the page.
29. What documents or career documentation can I receive after completion? +
Depending on the applicable internship requirements, completion documentation can include an internship certificate and other career-related documents specified by the program. Students should check the current internship terms for the exact documentation available.
30. Where can I find the Generative AI & AI Agents Internship? +
The Generative AI & AI Agents Internship is available through LetsIntern. Students can visit the LetsIntern website to find the current internship information, curriculum, registration details and application process.
Explore LetsIntern →Start Your Generative AI & AI Agents Internship
Learn Generative AI, LLMs, AI agents, RAG, automation and AI application development through practical projects.
Performance-Based Stipend
Work on real projects and earn a monthly stipend of ₹10,000 – ₹16,000 based on your performance and task completion.
Real Project-Based Learning
You won’t just learn theory. You’ll build real full stack websites and AI-powered applications used in actual projects.
Complete Gen AI Skills
Build AI-powered applications like chatbots, content generators, and AI assistants.
Mentorship by Industry Experts
Get personal guidance, code reviews, and feedback from experienced developers working in the IT industry.
Git & GitHub (Industry Workflow)
Learn how real developers write, manage, and collaborate on code using Git and GitHub.
Flexible Schedule
Learn at your own pace — no fixed working hours, perfect for college students.
Internship Certificate + LOR
Receive a professional Certificate and a Letter of Recommendation from Corporate Web Solutions.
Live Classes + Lifetime Access to Recordings
Attend interactive live classes and access the recordings anytime for revision.
Resume & Interview Preparation
Dedicated sessions to help you craft the perfect tech resume and ace technical interviews.
Tech Stack & AI Tools Covered
Unlock These Skills During the Program
🧠 Generative AI & LLMs
Large Language Models (LLMs) fundamentals
OpenAI (ChatGPT), Gemini, Claude APIs
Tokens, temperature, prompt parameters
Model selection & cost optimization basics
✍️ Prompt Engineering
Prompt design & optimization
Zero-shot & few-shot prompting
Role-based & structured prompts
Prompt testing & improvement techniques
🔗 AI Integration & Backend
Python for AI applications
API integration & request handling
JSON, environment variables, error handling
Connecting AI with web or backend systems
📚 RAG & Vector Databases
Retrieval Augmented Generation (RAG)
Embeddings & semantic search
Vector databases (FAISS / ChromaDB / Pinecone – basics)
AI trained on PDFs, documents & custom data
🛠 Tools & Technologies
Visual Studio Code (VS Code)
Git & GitHub
Postman (API testing)
LangChain (intro)
No-code / low-code AI tools
🚀 Real-World Project Experience
Build AI chatbots & AI assistants
Develop AI tools for real business use-cases
Work on industry-level or client-simulated projects
Team collaboration & documentation
🤝 Soft Skills Development
Problem-solving using AI
Client requirement understanding
Basic project management
Clear communication of AI solutions
Trusted Collaborators
Eligibility Criteria
Open to all graduates, final-year students, freshers, and working professionals.
No previous experience is required as full guidance and mentorship are provided.
Industry recognized certificate
Meet our Ex-Interns
Testimonals
Some Top recruiters...
FAQs
To begin, complete the registration form above by entering your name, email ID, and mobile number. Mention if you’re a student or a professional, along with your college or workplace details. You can also pick a convenient start date, and we’ll try our best to match it.
📩 Offer Letter: After we verify your registration, your offer letter will be issued and sent to your email within a few hours or the next morning.
📩 Welcome Package: On your chosen start date, you’ll receive login credentials and step-by-step guidance via email.
In case you have any queries, you can reach out through hr@corporatewebsolutions.in or WhatsApp/call +91-7618025090.
Definitely! Our support team assists with college-required documents such as attendance sheets, evaluation reports, progress updates, and project summaries throughout your program.
If you need to take a leave for any reason, simply email us or drop a WhatsApp message. You don’t have to wait for a response — just inform us and focus on your priority. Once you’re ready, you can easily resume your tasks.
Yes, a laptop or desktop with a good internet connection is mandatory for participating in this program.
Our programs feature pre-recorded video sessions and LIVE sessions both (Hybrid ) to offer maximum flexibility. Everyone — students, professionals, and mentors — can learn at their own pace without schedule conflicts.
Don’t worry there is an AI-powered assistant to help you with all your coding-related queries. Andie can check and debug code, generate new code, and even build entire projects for you.
This feature is exclusively available to registered candidates through their Task Portal.
Since mentors cannot be available 24/7, Andie was developed to bridge the gap. Located at the bottom-left corner of every module, this Full Stack Developer Bot is capable of writing, reviewing, and troubleshooting code anytime, ensuring you get instant solutions to your coding challenges, day or night.
This internship cum training opportunity is designed in such a way as from fresher to a professional anyone can get benefit out of it, The opportunity is divided into 15+ modules, and every Module contains 15-20 small tasks plus 1 project (in the last) based upon what you have learnt in that particular module. The complexity and practicality of your modules and projects will gradually increase, Timing is flexible, schedule yours accordingly. After completing every project given in the modules, Submit within the deadlines.
A major part of this program contains a training part, however we have many projects (2 Major, 15 Minor and many practice projects) and many internal and external resources to sharpen the skills of the candidates. It is a self paced program, Training and internships will go simultaneously. After every Module, there will be a project related to it (may it be a minor, major or practice project)
We have 20+ projects to provide hands on Experience and sharpen the skills of the Interns.
About Paid Projects_
Paid projects will be provided to the interns on two basis
1) The assignments/projects, which all students sends goes directly to our USA team. they evaluate all of them and create a kind of ranking sheet based upon some factors like quality, accuracy, deadline met etc. They keep this list with them for future paid projects.
2) The availability and number of the projects available.
The training is split into 15+ modules, each with 15–20 tasks and one project. As you progress, the complexity grows to ensure steady skill development. Projects must be submitted on time, and you can plan your schedule flexibly.
You’ll work on over 20 projects to build real-world experience.
👉 Paid Project Opportunity: Based on your performance (quality, speed, and accuracy), you may be eligible for paid tasks offered by our USA team, subject to availability.
Anyone interested can join! Basic knowledge of HTML, CSS, or JavaScript is a bonus but not compulsory. Graduates from any stream are welcome. There are no restrictions based on nationality, age, or background.
You decide your working hours! Whether you’re a student or a working professional, you can complete modules at your convenience. Plus, the internship is 100% remote — work from wherever you are most comfortable.
Once enrolled, you’ll have lifetime access to all training content, unless there’s a policy change in the future.
Absolutely! You’ll receive full training material, video tutorials, and 24/7 coding assistance before and during your project work.
Yes, but it depends! Stipends are offered based on your performance, the nature of the project, and USA team evaluations. Stipends typically range from ₹8,000 to ₹18,000 INR ($99 – $219) or higher, depending on project availability.
We actively hire top-performing interns for internal and client roles based on project availability. Additionally, we regularly post openings from our partners so you can apply even after completing the program.
Your certificate will be automatically prepared and scheduled to be emailed around your program completion date. Allow up to 48 extra hours if it falls on a weekend or holiday.
LORs are awarded to exceptional candidates based on strict performance criteria. If you require a LOR for special circumstances like studying abroad, you may also directly request it from HR.
Of course! Although not mandatory, if you find the program valuable, feel free to refer it to friends, classmates, or colleagues who might benefit.
ENROLLMENT FORM
Fill the form below to get enrolled in the program 👇🏻
“Through this Web Development Internship, students not only learn technical skills but also prepare themselves for global job opportunities.”
“Our Full Stack Web Development with AI Internship is designed for students and freshers who want to gain real-world experience in frontend, backend, and AI-powered applications.”
