# AI/ML Course Syllabus 2026: What 6 Months of Training in Amritsar Actually Covers
Artificial intelligence job postings in Punjab grew by roughly 38% between 2024 and 2025, yet most candidates applying for those roles list "familiar with AI" on their resume without a single deployed model to show. The gap between awareness and employable skill is wide — and bridging it requires a structured, hands-on curriculum, not a YouTube playlist.
This post breaks down exactly what a 6-month AI/ML program covers month by month, what projects you build along the way, which certifications become realistic targets, and what salaries you can expect to negotiate in the Punjab job market when you finish.
---
Month-by-Month Syllabus Breakdown
A well-structured 6-month AI/ML program moves from mathematical foundations to production-ready model deployment. Here is a realistic week-level breakdown of what each phase covers.
| Month | Core Topics | Tools Introduced |
|---|---|---|
| 1 | Python for data science, NumPy, Pandas, data wrangling | Jupyter, VS Code, Git |
| 2 | Statistics, probability, EDA, data visualisation | Matplotlib, Seaborn, Plotly |
| 3 | Classical ML — regression, classification, clustering, model evaluation | Scikit-learn, XGBoost |
| 4 | Deep learning — neural networks, CNNs, RNNs, transfer learning | PyTorch, TensorFlow basics |
| 5 | NLP, transformer architecture, LLM fine-tuning with LoRA, RAG pipelines | HuggingFace, LangChain |
| 6 | MLOps, API deployment, capstone project, interview prep | FastAPI, Docker, AWS/GCP basics |
Month 1 and 2 are deliberately slower — every concept is reinforced with assignments on real Punjab-context datasets (crop yield data, local e-commerce transaction logs). Students who skip these months in self-study programmes consistently struggle later with feature engineering.
Month 3 is where classical ML solidifies. You build at least three end-to-end pipelines: a house price predictor, a churn model, and a multi-class classifier. Each is evaluated on a held-out test set with precision/recall/F1 reporting — the kind of output a hiring manager can actually read.
Month 4 introduces neural networks without glossing over backpropagation math. CNNs are applied to image classification tasks; RNNs are used for time-series forecasting. Transfer learning with pre-trained models (ResNet, EfficientNet) is covered practically — you fine-tune a model on a custom dataset, not just run a notebook someone else wrote.
Month 5 is the current differentiator in the job market. Large language model concepts — attention mechanisms, prompt engineering, retrieval-augmented generation, and parameter-efficient fine-tuning via LoRA — are increasingly listed in Punjab tech job descriptions. Working familiarity with LangChain and HuggingFace APIs is now a baseline expectation at Chandigarh-based product companies hiring remotely from Amritsar and Jalandhar.
Month 6 ties everything together with MLOps basics: versioning datasets, containerising models with Docker, and exposing predictions via a FastAPI endpoint. The capstone project is a portfolio piece, not a classroom exercise.
---
Projects You Build (and Can Show Employers)
Portfolio depth separates candidates at the interview stage. A strong 6-month cohort should graduate with at least 4–5 deployable projects:
- •. Crop yield prediction model — regression on agricultural data from Punjab districts; demonstrates feature engineering with domain-relevant variables.
- •. Sentiment analysis API — fine-tuned transformer on product review data, served via FastAPI, containerised with Docker.
- •. Image classification app — CNN fine-tuned on a custom dataset; deployed as a lightweight web demo.
- •. RAG-based Q&A chatbot — LangChain + vector database + OpenAI or open-source LLM backend; the most-discussed project type in 2025–26 hiring cycles.
- •. Capstone of your choosing — student-defined problem, full ML lifecycle from data collection through deployment.
Each project lives in a public GitHub repository. Recruiters at companies like Infosys BPM (Chandigarh), Cognizant, and regional Punjab startups routinely ask for GitHub links before scheduling interviews.
---
Certifications You Can Realistically Target
No certification replaces demonstrated project work, but several credentials add weight to a resume and signal structured learning to hiring teams.
| Certification | Issuing Body | Recommended Timing | Approx. Exam Fee |
|---|---|---|---|
| TensorFlow Developer Certificate | After Month 4 | ~$100 (≈ ₹8,300) | |
| AWS Certified Machine Learning – Specialty | Amazon | After Month 6 | $300 (≈ ₹25,000) |
| IBM AI Engineering Professional Certificate | IBM / Coursera | Ongoing during course | ₹2,000–4,000/month |
| HuggingFace NLP Course (free) | HuggingFace | Month 5 | Free |
| Azure AI Fundamentals (AI-900) | Microsoft | After Month 3 | ~$125 (≈ ₹10,400) |
The AWS ML Specialty is the highest-signal certification for backend ML engineers in Punjab's IT sector. The Azure AI-900 is a lower-effort credential that works well as a resume entry point before you are ready for deeper exams.
---
Punjab Salary Context: What the Numbers Actually Look Like
Salary data from job postings on Naukri.com, LinkedIn, and direct employer listings in Punjab and the Tricity area (as of early 2026):
| Role | Experience Level | Salary Range (per annum) |
|---|---|---|
| Junior Data Analyst | 0–1 yr | ₹2.8L – ₹4.5L |
| ML Engineer (entry) | 0–1 yr | ₹4.0L – ₹7.0L |
| NLP / LLM Engineer | 1–2 yr | ₹7.0L – ₹12L |
| Data Scientist | 2–3 yr | ₹8.0L – ₹14L |
| AI/ML Lead | 4+ yr | ₹18L – ₹28L |
Amritsar and Jalandhar candidates increasingly compete for remote roles at Bengaluru and Pune product companies. A strong portfolio and one paid certification shifts negotiating leverage meaningfully — the difference between a ₹4L and ₹6L first offer is often a deployed project and a GitHub profile, not a degree.
---
What MITS Academy Offers
MITS Academy's 6-month AI/ML programme (₹40,000–₹60,000, 0% EMI available) covers the full syllabus outlined above — classical ML through LLM fine-tuning with LoRA, RAG pipeline construction via LangChain, and MLOps fundamentals. ChatGPT Plus and Claude Pro subscriptions are included during the course so students work with production-grade tools, not hobbyist free tiers. Batches run at SRK Mall, Mall Road in Amritsar and at 65 Garha Road, Jalandhar. A free Saturday demo session is available at mitsacademy.in/book-demo before you commit.
---
Conclusion
A 6-month AI/ML programme is dense. The students who get the most out of it treat every project as a portfolio piece, target at least one certification by graduation, and spend Month 6 pushing code to GitHub and applying before they finish. The Punjab AI job market rewards demonstrated work over credentials alone.
If you want to walk through the syllabus in detail or ask about the current batch schedule, reach out directly:
- •Amritsar: WhatsApp +91 90567 55115
- •Jalandhar: WhatsApp +91 76580 33310
FAQ
Q1. What exactly is covered month by month in a 6-month AI/ML course in Amritsar? The first two months typically focus on Python fundamentals, data handling with NumPy and Pandas, and classical Machine Learning algorithms like linear regression, decision trees, and SVM. Months three and four move into Deep Learning using PyTorch, CNNs, and RNNs, while the final two months cover advanced GenAI topics including LangChain, RAG pipelines, and fine-tuning models with LoRA. At MITS Academy in Amritsar, students also get hands-on access to ChatGPT Plus and Claude Pro throughout the course for real-world experimentation.
Q2. How much does a 6-month AI/ML course in Amritsar cost, and are there any discounts? Course fees at MITS Academy range from ₹40,000 to ₹60,000 for the full 6-month AI/ML programme, which is competitive compared to similar institutes in Chandigarh and Delhi. Students can reduce this further with a 10% discount on showing a valid student ID, 15% for women candidates, and 20% for siblings of alumni. Zero-cost EMI is also available on fees above ₹20,000, making it accessible without a large upfront payment.
Q3. What salary can I realistically expect after completing an AI/ML course in Punjab? Freshers from Amritsar and Jalandhar typically land their first AI/ML roles at ₹3–7 LPA with large IT firms like TCS, Infosys, and Cognizant, which actively hire from Punjab. Those who target Mohali-based product startups such as Net Solutions or Grazitti can see packages in the ₹6–12 LPA range, and top performers who secure remote Bangalore SaaS roles have earned ₹6–15 LPA. With 220+ AI/ML students placed since 2019, MITS Academy's track record gives a realistic baseline for what to expect in the current market.
Q4. Do companies actually hire AI/ML freshers from Amritsar, or do I need to relocate to Bangalore? Several hiring partners including TCS, Wipro, HCL, Capgemini, and Accenture recruit directly from Punjab campuses, and Mohali's growing tech cluster — home to Net Solutions, Indus Net, and Grazitti — has become a genuine AI/ML hiring hub within commuting distance of Amritsar and Jalandhar. Remote and hybrid roles with Bangalore and Hyderabad SaaS companies have also opened up significantly post-2022, meaning relocation is no longer mandatory. That said, candidates open to Mohali or remote work consistently see better starting packages than those limiting themselves to Amritsar city alone.
Q5. Is a 6-month AI/ML course enough to build a portfolio that impresses recruiters, or is a longer course needed? Six months is sufficient to build 3–4 strong portfolio projects — such as an end-to-end ML pipeline, a fine-tuned LLM chatbot using RAG, and a computer vision application — which is what most Punjab-based and Mohali recruiters actually look for in freshers. A longer course only adds value if it includes live industry projects or internship components; pure classroom extension beyond six months rarely improves hiring outcomes. The key differentiator is practical depth, not duration, which is why the syllabus split between classical ML, Deep Learning, and GenAI in a 6-month structure is well-calibrated for the 2026 job market.
Q6. Kya yeh 6-month AI/ML course karne ke baad Amritsar mein hi job mil sakti hai, ya sirf bade sheher jaana padega? Amritsar mein directly bade IT companies nahi hain, lekin Mohali aur Chandigarh — jo sirf 1.5 ghante door hain — mein Net Solutions, Grazitti, aur Indus Net jaise companies actively AI/ML freshers hire karti hain. Iske alawa, remote jobs ka option bhi hai jisme Bangalore ya Hyderabad ki companies Punjab ke candidates ko ghar baithe hire karti hain, especially agar aapka portfolio strong ho. MITS Academy ke 50+ hiring partners aur 220+ placed AI/ML students yeh prove karte hain ki sirf bade sheher jaana zaroori nahi — sahi skills aur placement support ke saath Punjab mein reh ke bhi achhi salary milna possible hai.