17 of 20 modules complete
You have now completed 17 of 20 modules. You have built prompt engineering skills, applied them to real developer, analyst, and manager tasks, understood RAG and agents, made smart certification choices, and built at least one portfolio project. This module is about making all of that visible to recruiters — in exactly the right language, in exactly the right places.
Most students undersell their AI skills on their profiles. Not because the skills are weak — but because they do not know the specific keywords, formats, and framing that Indian IT recruiters and ATS systems look for in 2026.
The stakes — what Indian recruiters see in 8 seconds
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According to Naukri’s 2025 hiring report, 68% of fresher resumes are rejected within 8 seconds — not for lack of skills, but poor formatting and keyword gaps. LinkedIn keyword optimisation delivers a 70% boost in profile views. Profiles with AI skills listed are receiving 2x the recruiter responses compared to profiles without them, according to the 2026 Naukri JobSpeak analysis.
The three-part visibility formula for Indian IT in 2026: Right keywords (so ATS systems surface your profile) + Right framing (so recruiters see impact, not just activity) + Right platform priority (Naukri for volume, LinkedIn for quality, both for maximum reach). Missing any one of these three halves your effective visibility.
Part 1 — Resume: the AI skills section
The keywords that actually appear in Indian IT job descriptions
These are the AI-related terms extracted from real 2026 job descriptions at TCS, Infosys, Wipro, HCL, and product companies in India. Add the ones that match your actual skills — never list skills you cannot discuss in an interview.
Prompt Engineering
Generative AI
Large Language Models (LLMs)
ChatGPT
RAG
AI Agents
LangChain
GitHub Copilot
Microsoft Copilot
Claude API
OpenAI API
Vector Databases
Fine-tuning
Workflow Automation
n8n
Agentic AI
AI-assisted Development
Chain-of-Thought
Orange = highest frequency in 2026 Indian IT JDs. Add these first.
Writing AI skills bullets that convert
The difference between a weak and strong resume bullet is specificity and outcome. Generic bullets fail ATS filters and fail to impress recruiters who read past them.
✗ WEAK — generic, no outcome
• Knowledge of AI tools like ChatGPT and Claude
• Used AI for coding tasks
• Familiar with prompt engineering
✓ STRONG — specific, outcome-focused
• Applied prompt engineering (zero-shot, few-shot, CoT) to reduce code review time by 40% in a team of 5 during final-year project
• Built a RAG-based Q&A system over 200-page product documentation using LangChain and ChromaDB — deployed as internal tool
• Automated weekly status report generation using n8n + OpenAI API, saving 2 hours per week
The formula for every AI skills bullet: [Technique/tool] + [specific task] + [quantified outcome or context]
Where to place AI skills on a fresher resume
Reverse-chronological format is universally preferred by Indian ATS systems including Naukri's RMS and TCS iRecruit. This is the section order that maximises ATS scoring and recruiter engagement for freshers:
1. Name + Contact (phone, email, LinkedIn URL, GitHub URL)
2. Professional Summary — 2–3 sentences, include "Generative AI" and your target role
3. Technical Skills — list AI tools prominently at the TOP of this section
4. Projects — list your best AI project first with quantified outcome
5. Education — degree, branch, CGPA, institution, passing year
6. Certifications — Google AI Essentials, DeepLearning.AI, etc.
7. Achievements / Extra-curricular (optional)
AI skills go in Technical Skills AND in Projects. Two placements increase ATS keyword match score significantly. Do not bury AI tools at the bottom of a long skills list.
Professional summary — use AI to write it right
The professional summary is the most under-optimised section on most Indian fresher resumes. Here is a prompt that produces a strong summary:
PROMPT — Write your professional summary
You are a professional resume writer specialising in Indian IT fresher resumes.
Write a 3-sentence professional summary for my resume. Use strong action language. Include the exact keywords: “Generative AI”, “prompt engineering”, and my target role title.
My details:
- Degree: [B.Tech / BCA / BSc] in [branch] from [college name], [year]
- Target role: [Software Developer / Data Analyst / Business Analyst] at [TCS / Infosys / product company / etc.]
- Key skills: [list your 4–5 strongest technical skills]
- Best achievement: [one specific thing — project, rank, hackathon, internship]
- AI skills from this course: Prompt engineering (zero-shot, few-shot, CoT), RAG, AI agents, no-code automation
Format: 3 sentences. No fluff. Starts with role title, not “I am”.
Length: Under 60 words.
Starts with role title, not "I am" — Indian ATS systems parse the first word of the summary as a role signal. Starting with your target role title ("Software Developer with..." or "Data Analyst specialising in...") improves ATS classification accuracy.
Part 2 — LinkedIn: getting found by Indian IT recruiters
LinkedIn delivers 70% more profile views with keyword-optimised profiles. For Indian IT students, the four highest-impact sections are Headline, About, Skills, and Featured.
Your headline appears in every search result, every connection request, every recruiter browse. Most freshers write "Student at XYZ College" — which is invisible to recruiters. Write your aspirational role + your differentiating skills instead.
✗ INVISIBLE HEADLINE
B.Tech Student at ABC Engineering College | Looking for Opportunities
✓ SEARCHABLE HEADLINE
Software Developer | Generative AI & Prompt Engineering | Python | RAG | Open to SDE Roles at Product & IT Companies
Include: your target role, "Generative AI", one or two technical skills, and "Open to [role type] roles" — this signals active job search to LinkedIn's recruiter tool filters.
PROMPT — Write your LinkedIn About section
You are a LinkedIn profile writer specialising in Indian IT professionals.
Write my LinkedIn About section. Use first-person. 150–200 words. Include these keywords naturally: Generative AI, prompt engineering, [my target role], [my top 2 technical skills].
Structure:
- Opening hook: one specific thing I have built or achieved (not “I am passionate about…”)
- What I do and what makes my approach different (mention GenAI skills here)
- What I am looking for and what I bring to a team
- One call to action (connect / reach out / view my projects)
My background: [paste your key details — degree, skills, projects, target role]
Tone: Professional but human. Sounds like a person, not a press release. No buzzwords like “passionate”, “results-driven”, “synergy”.
The hook instruction ("one specific thing I have built") is critical — most About sections start with "I am a passionate developer" which every recruiter skips. A concrete opening gets read.
LinkedIn allows 50 skills. Add these AI-specific skills to your profile today — they are searchable by Indian IT recruiters and appear in "Skills" endorsement sections that recruiters specifically filter on:
Prompt Engineering
Generative AI
Large Language Models
ChatGPT
Retrieval-Augmented Generation
AI Automation
GitHub Copilot
LangChain
n8n
Add skills you can genuinely discuss — not every skill on this list. Having 5 skills you can defend in an interview is more valuable than 20 you cannot.
The Featured section is a portfolio right on your LinkedIn profile. Most Indian freshers leave it empty. Add these in order of impact:
1. GitHub repository — your best AI project (n8n workflow, RAG system, or prompt library)
2. This course completion — link to courses.chandrashaker.in/courses/genai/
3. Certification — your Google AI Essentials or DeepLearning.AI certificate
4. LinkedIn post — your best AI-related post if it got engagement
5. Google Drive PDF — your "Company AI Research" document from Assignment 1.3
Recruiters who click through to your Featured section are already interested. Give them something concrete to see — a GitHub repo with a real README converts better than any number of skills badges.
Naukri has 7.83 crore resumes and dominates 70% of Indian job search traffic. The platform has its own keyword matching algorithm — different from LinkedIn — that scores your profile against JDs. Here is how to optimise for it.
1. KEY SKILLS field — add all AI keywords here explicitly
→ Prompt Engineering, Generative AI, LLM, ChatGPT, RAG, Python, etc.
Naukri's algorithm heavily weights this field for search ranking.
RESUME HEADLINE — same logic as LinkedIn, include role + AI skills
→ “Software Developer | Generative AI | Python | Prompt Engineering”
PROFILE SUMMARY — same as resume summary; paste it here
→ Include “Generative AI” in the first sentence
IT SKILLS section — Naukri-specific field; list AI tools explicitly
→ ChatGPT, Claude, Gemini, GitHub Copilot, LangChain, n8n
PROJECTS section — add your best AI project with tech stack
→ Include RAG, LangChain, OpenAI API, n8n in the tech stack field
Naukri's RMS (Resume Management System) parses skills differently from its public search. Recruiters at TCS, Infosys, Wipro, and HCL use the internal RMS to filter candidates — the Key Skills field is the most important for this internal filter.
Using AI to tailor your Naukri application for each JD
PROMPT — Tailor your resume to a specific JD
You are a professional resume consultant specialising in Indian IT job applications.
I will give you a job description and my current resume. Your task:
- Identify the top 8 keywords in the JD that are missing from my resume
- Suggest specific bullet point rewrites that add these keywords naturally
- Flag any skills in the JD I have but have not mentioned
- Suggest one addition to my Professional Summary to better match this role
Job Description:
[paste the full JD from Naukri or LinkedIn]
My current resume:
[paste your resume text]
Be specific. Show the before and after for each suggested change.
This prompt alone will meaningfully increase your interview call rate. Most candidates send the same resume to every application. Tailoring to the specific JD keywords — especially at Indian IT companies that use ATS filters — moves your profile from "reviewed" to "shortlisted". Run this for every application you genuinely want.
The complete pre-application checklist
RESUME
"Generative AI" appears in your Professional SummaryATS parsers look for this exact phrase
AI skills listed at the top of Technical Skills — not buried at the bottomRecruiter's eye goes top-left on skills sections
At least one AI project bullet with a quantified outcomeFormula: Tool + Task + Result
Certification listed with issuer name — not just "AI Certificate""Google AI Essentials — Google, 2026" vs "AI course"
GitHub link in header if you have an AI project repository
LINKEDIN
Headline includes "Generative AI" and your target role titleThis is the most searched combination in Indian IT recruiter filters right now
About section has a concrete opening — not "I am passionate about..."
Prompt Engineering, Generative AI, Large Language Models added to SkillsThese three are the highest-searched AI skills on LinkedIn India in 2026
Featured section has at least one item — GitHub link or certificate
"Open to work" is set if actively job hunting — visible to recruiters
NAUKRI
Key Skills field includes: Prompt Engineering, Generative AI, LLM, ChatGPTNaukri's search algorithm weights this field most heavily
IT Skills field lists AI tools — ChatGPT, Claude, GitHub Copilot, LangChain, n8n
Profile completeness score is 80%+ (Naukri shows this on your dashboard)
Resume uploaded as PDF — not Word — for clean ATS parsing on Naukri
Job alerts set for "Generative AI", "Prompt Engineering", "AI Developer" keywords
The three things to remember
KEY TAKEAWAYS — MODULE 5.2
- Keywords before content — ATS never sees what it cannot find — "Generative AI", "Prompt Engineering", and "Large Language Models" must appear in your LinkedIn headline, Naukri Key Skills field, and resume Professional Summary. Without these exact phrases, your profile is invisible to the recruiter filters at TCS, Infosys, Wipro, and HCL's AI CoE hiring teams.
- Outcomes beat activity in every bullet point — "Used AI for coding tasks" tells a recruiter nothing. "Reduced code review time by 40% using Claude for automated pre-review checks" tells them exactly what you can do and what value you bring. Apply the formula Tool + Task + Result to every skills bullet you write.
- Tailor every application with one prompt — the JD tailoring prompt in this module takes 5 minutes per application and meaningfully increases your shortlisting rate. The same resume sent to 50 jobs performs worse than a tailored resume sent to 10 well-matched jobs. Quality beats volume on Indian ATS systems.
This is the most directly career-impactful assignment in the course. Block 2 hours and complete all three updates today.
- Resume:
- Run the Professional Summary prompt with your actual details
- Add AI skills to the top of your Technical Skills section using the keyword list from this module
- Rewrite your best project bullet using the Tool + Task + Result formula
- List your certification (or planned certification) in the Certifications section
- LinkedIn:
- Rewrite your headline — include "Generative AI" and your target role
- Run the About section prompt and update with the output (edited for your voice)
- Add Prompt Engineering, Generative AI, and Large Language Models to your Skills section
- Add one item to the Featured section — GitHub project link or certification
- Naukri:
- Update Key Skills: add Prompt Engineering, Generative AI, LLM, ChatGPT
- Update IT Skills: add ChatGPT, Claude, GitHub Copilot, LangChain
- Upload your updated resume PDF
- Set job alerts for "Generative AI" and "Prompt Engineering" roles in your target city
- Run the JD tailoring prompt on one real job description from Naukri or LinkedIn that you want to apply to. Note what the model finds missing and update your resume accordingly.
After completing this assignment, you will have an AI-optimised profile on all three platforms — ready for the placement drives and direct applications that Module 5.3 and 5.4 will build on.
Sources and data references
| Claim | Source |
|---|
| 68% of fresher resumes rejected within 8 seconds — formatting and keyword gaps | Naukri 2025 hiring report, cited in careerskraft.com April 2026 |
| LinkedIn keyword optimisation delivers 70% boost in profile views | bestjobsearchapps.com India Job Sites 2026, June 2026 |
| Profiles with AI skills receive 2x recruiter responses | Naukri JobSpeak 2026 analysis; bestjobsearchapps.com June 2026 |
| Naukri has 7.83 crore resume database, 70% job search traffic share in India | bestjobsearchapps.com India Job Sites 2026; bestjobsearchapps.com ranked portals 2026 |
| Reverse-chronological format universally preferred by Indian ATS systems | careerskraft.com Resume Formats for Freshers India April 2026 |
| 80% employers prioritise skills over degrees; AI skills top demand 2026 | bestjobsearchapps.com; Naukri JobSpeak Index 2026 |
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