6-Month Roadmap: Fresher to Agentic AI Developer

Free resources, milestones, certifications, and mentor tips. Your progress saves in this browser.

Overall progress 0%
0 of 0 items done
Month 10%

Engineering Foundations

Turn tutorial Python into real, working software.

Python beyond OOP
File handling, APIs with requests, error handling, virtual environments.
freeCodeCamp Python course Automate the Boring Stuff
Git and GitHub
Commit daily from now on.
Learn Git Branching GitHub Skills Git docs
Linux and terminal
Agentic systems run on Linux servers.
Linux Journey OverTheWire Bandit
SQL
SQLBolt Mode SQL tutorial
Month 20%

Data and Machine Learning Core

Understand how models learn, so you can debug agents later.

Math intuition
3Blue1Brown: Essence of Linear Algebra 3Blue1Brown: Essence of Calculus StatQuest
Machine Learning Specialization (Andrew Ng)
Audit for free; certificate costs money, content does not.
Coursera
Kaggle Learn: Intro to ML, Pandas, Feature Engineering, Intermediate ML
Free completion certificates.
Kaggle Learn
Month 30%

Deep Learning and LLMs

Understand the models that power agents.

Neural Networks: Zero to Hero (Karpathy)
Build micro-GPT. Best free resource for this stage.
Course page
Practical Deep Learning for Coders (fast.ai)
fast.ai
DeepLearning.AI short courses: ChatGPT Prompt Engineering, Building Systems with the API, LangChain for LLM Apps
Free short courses.
DeepLearning.AI short courses
Hugging Face NLP Course
Includes a certificate.
HF NLP Course
Month 40%

Agentic AI Development (Most Important Month)

Build agents that use tools, memory, and multi-step reasoning.

AI Agents in LangGraph and Functions, Tools and Agents with LangChain
DeepLearning.AI, free.
AI Agents in LangGraph LangChain Academy
Hugging Face Agents Course
Free and certified. Work through it fully.
HF Agents Course
Anthropic courses: Building with the Claude API, Intro to Model Context Protocol
Anthropic Skilljar MCP docs
RAG and vector databases
Learn Chroma or FAISS.
LlamaIndex docs Chroma docs
Multi-agent patterns
Compare CrewAI or AutoGen with LangGraph.
CrewAI docs AutoGen docs
Month 50%

Infrastructure, Cloud, and Deployment

Ship your agent so other people can use it.

Docker Getting Started
Docker docs
FastAPI tutorial
FastAPI tutorial
GitHub Actions (CI/CD)
GitHub Actions docs
Kubernetes basics
Concepts, not mastery.
Kubernetes tutorials
AWS: Cloud Practitioner Essentials and AI Practitioner plan
Pick one primary cloud. AWS is listed here.
AWS Skill Builder
Google Cloud Skills Boost (alternative primary cloud)
Google Cloud Skills Boost
Microsoft Learn and Azure for Students ($100 credit with university email)
Microsoft Learn Azure for Students
Terraform tutorials (infrastructure as code)
HashiCorp Terraform tutorials
Month 60%

Production Quality, Portfolio, and Applications

Make your work reliable, measurable, and presentable, then apply.

Evaluation and observability (LangSmith free tier)
LangSmith
Full Stack Deep Learning (MLOps)
Full Stack Deep Learning
OWASP Top 10 for LLM Applications
OWASP LLM Top 10
DSA for interviews: NeetCode 150
2 to 3 problems a day.
NeetCode 150 LeetCode
Portfolio: 3 project READMEs (architecture, evaluation, deployment links)
Send 30+ applications
Start in month 5, keep going.
Internshala

Certifications

CertificationProviderCostWhy it matters
Hugging FaceFreeDirectly relevant to agents
Hugging FaceFreeShows transformer knowledge
KaggleFreeSimple, recognized ML basics
DatabricksFreeRecognized by data employers
Google CloudFree to earn (some lab credits may cost)Cloud credibility
AnthropicFreeRelevant to Claude-based agents
DeepLearning.AIFreeML and LLM depth
MicrosoftFreeSupporting evidence
AWSAbout $100 USD (≈ ₹8,000–9,000 incl. GST; rate varies)Take before applying for roles. Prep is free on Skill Builder.
MicrosoftAbout $33 USD (≈ ₹3,000–4,000; check student vouchers)Budget-friendly Azure AI credential
AWSAbout $100 USD (optional)Broad cloud foundation
Google CloudAbout $125 USDTake after hands-on cloud experience

Industry Mentor Tips for a Fresher

  1. Projects beat certificates.A deployed agent with a clear README gets more attention than five course certificates.
  2. Your GitHub is your resume.Pin 3 repos. Commit regularly. Explain the problem, design choices, and what failed.
  3. Learn to evaluate, not just build.Know how often your agent fails, what it costs per request, and how it handles prompt injection.
  4. Read documentation before tutorials.Tutorials teach copying. Documentation teaches solving new problems.
  5. Use your student benefits now.GitHub Student Pack, Azure for Students, and other university-email programs. Check current offers.
  6. Don't skip DSA.Agentic AI roles still use standard coding interviews.
  7. Target the right internships.AI startups, product companies with ML teams, and internal AI tool teams. Referrals beat cold applications.
  8. Pick a direction by month 4.Agent products (app-focused) or infrastructure and evaluation (platform-focused).
  9. Ship weekly and write publicly.A short post after each milestone builds visibility fast.
  10. Your SIH work counts.Describe the problem, your role, and the concrete outcome.
  11. Watch costs.Track token usage, set budgets, cache and route requests.
  12. Stay skeptical of hype.Fundamentals (prompting, retrieval, tool use, evaluation, deployment) outlast any library.