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🔥 Most Popular in Ranchi

Artificial Intelligence Training Course in Ranchi by Uncodemy

Uncodemy's Artificial Intelligence training for Ranchi learners runs for 5–6 months through live, instructor-led online sessions. The curriculum includes Python, Machine Learning, Deep Learning, NLP, Computer Vision, plus fundamental concepts of Generative AI & LLMs. Uncodemy does not have a physical centre in Ranchi — the course is delivered completely online, with classroom training available at its Delhi and Noida centres for learners who can travel. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starts from ₹4,818/month for 6 months*.

⚡SPECIAL LIMITED TIME OFFER

Special Offer: Artificial Intelligence Program

Now Pay Only
₹24,500/-
+ 18% GST
No Hidden Charges
100% Transparent
Total ₹28,910
Incl. 18% GST
EMI AVAILABLE
Starting ₹4,818/M*
Fill Your Details
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Expert Trainers

Learn from 8+ years experienced professionals

Hands-on Automation Projects

Build real artificial intelligence test suites, not just theory

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Live Online Classes
Weekend & Weekday Batches
100% Practical Training
Transparent Fees
EMI Options Available
Dedicated Support

Program Details

Artificial Intelligence Course — Live Online Program Hands-on learning focused on practical AI skills and interview preparation.
A comprehensive 5–6 month instructor-led live online program covering Python, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI & LLM fundamentals with practical projects, mentoring and career support.
📚 Learning:
183+ Hours of Learning
⏱️ Program Duration:
5–6 Months
🎓 Live Training:
110+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on AI Projects, Case Studies & Capstone Projects
💰 Program Fee:
₹24,500 + 18% GST
💰 Total Fee:
₹28,910
💳 EMI:
Starting From ₹4,818/Month for 6 Months*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Artificial Intelligence Course in Ranchi — Quick Facts

🎓 Course:
Artificial Intelligence
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
183+ Hours of Learning
📖 Curriculum:
13 Modules
💼 Projects:
Hands-on AI Projects, Case Studies + Industry Capstone
🛠️ Tools:
Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub, FastAPI
🌐 Mode:
Live Online (Ranchi-wide); classroom available only at Uncodemy's Delhi & Noida centres
✅ Prior Coding:
"Not Required"
📜 Certificate:
Uncodemy Artificial Intelligence Program Certificate.
🗓️ Last Reviewed:
3 October 2026

List of Placed Students Trained by Uncodemy

By completing the Uncodemy Data Science program, learners acquire strong working familiarity with Python, SQL, Machine Learning, Statistics, Data Visualization (Power BI/Tableau), and Agile, and after the training and career-preparation modules are complete, eligible candidates can explore positions including Data Analyst, Data Scientist, and Business Intelligence Analyst.

Rahul Gupta
4.5 LPA
India

Rahul Gupta

Data Scientist

Placed at:Makeo

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Aarav
5.5 LPA
India

Aarav

Data Scientist

Placed at:HSBC

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Manjeet Pathak
6.5 LPA
India

Manjeet Pathak

Data Scientist

Placed at:Fiserv

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Aman
6.8 LPA
India

Aman

Data Scientist

Placed at:Fis

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
Read placement record
Shahid
4.8 LPA
India

Shahid

Data Scientist

Placed at:Access Meditech

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar Thakur
6.0 LPA
Noida

Sagar Thakur

Data Scientist

Placed at:Genpact

Data Science Batch
Batch: DS/09/UP WD 12:30 PM
Read placement record
Abhay
5.5 LPA
Pune

Abhay

Data Scientist

Placed at:Capgemini

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
Abhay
4.8 LPA
India

Ashish Butola

Data Scientist

Placed at:Allsoft Solutions

Data Science Batch
Batch: (DS/12/0823/IR) WE 12 PM
Read placement record
Sahil
3.8 LPA
Mohali

Sahil

Data Scientist

Placed at:Vitraya Technologies

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Amit Gupta
4.0 LPA
Bangalore

Amit Gupta

LLM Engineering

Placed at:PwC

Artificial Intelligence Batch
Batch: DA|WD|R-MAR-08
Read placement record
Raghav Shetty
4.8 LPA
Gurugram

Raghav Shetty

LLM Engineer

Placed at:Webfries

Artificial Intelligence Batch
Batch: LM|WD|R-Apr-02
Read placement record
Abhinav Khatri
4.2 LPA
Noida

Abhinav Khatri

LLM Engineer

Placed at:Anaptyss

Artificial Intelligence Batch
Batch: LM|WD|R-Apr-02
Read placement record
Aditya Rao
6 LPA
Gurugram

Aditya Rao

GenAI Engineer

Placed at:Iris Software

Artificial Intelligence Batch
Batch: AI|WD|R-March-02
Read placement record
Karan Mehta
4.8 LPA
Gurugram

Karan Mehta

GenAI Engineer

Placed at:Iris Software

Artificial Intelligence Batch
Batch: AI|WD|R-March-02
Read placement record

What is Artificial Intelligence?

Ranchi, the capital of Jharkhand, is gradually embracing Artificial Intelligence as a tool for sustainable development and industrial growth. The term AI refers to the broad discipline of creating machines that can perform tasks requiring human-like intelligence, such as learning and problem-solving. In Ranchi, the focus is on applying AI to sectors like mining, agriculture, and healthcare, with a growing number of startups and academic projects exploring its potential.

What does an AI engineer do? For an AI engineer in Ranchi, the work is often project-based and highly collaborative. They might partner with NGOs to build models that predict outbreaks of waterborne diseases, work with mining companies to analyze geological data for safety, or develop apps that provide farmers with real-time market prices. The role necessitates a flexible skill set, including data visualization, cloud computing, and a deep understanding of the local socio-economic context.

Artificial Intelligence vs LLM Engineering vs RAG Engineering

Each Uncodemy program offers a distinct approach to AI learning. For learners in Ranchi, this side-by-side comparison highlights which path best supports careers in mining, agriculture, healthcare, and sustainable development.

Aspect Artificial Intelligence LLM Engineering RAG Engineering
Core focus Broad foundation across ML, DL, NLP, CV and GenAI Building, fine-tuning & deploying LLM-powered applications Building retrieval-grounded AI systems on enterprise knowledge
Coding depth High High High
Typical entry salary ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) ₹6–10 LPA (per LLM Engineering course sheet) ₹5–9 LPA (per RAG Engineering course sheet)
Uncodemy program duration 5–6 months 5–6 months 5–6 months

Salary ranges are indicative and vary by role, skills, experience, location and employer.

Course Overview

This AI course is a 5–6 month live online program featuring 110+ live sessions and 183+ hours of comprehensive learning. It comprises 13 modules that guide learners from AI basics through Python, mathematics and statistics, data preprocessing, machine learning fundamentals, supervised and unsupervised learning, model evaluation, deep learning and neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and a 25-hour industry capstone. Practical exercises with real tools are integrated into every module. Ranchi participants attend the program fully live online, with classroom training available at Uncodemy's Delhi and Noida centres for those who can travel.

Who should join this course:

  • Ranchi-based developers and graduates who want a broad, structured AI foundation rather than a narrow specialization.
  • Working professionals in IT, data or product roles transitioning into AI/ML engineering positions.
  • Data professionals upskilling from analytics or BI into full-stack AI and model deployment work.
  • Aspiring AI engineers with no prior machine learning background but a willingness to learn Python from fundamentals.
  • Career changers moving into artificial intelligence roles.

Eligibility: Any graduate, technical or non-technical, is welcome to enroll. Programming fundamentals are beneficial but not essential — Python is introduced from Module 2. Basic math and statistics comfort is helpful and will be developed in Module 3. Participants must have a laptop and stable internet for practical sessions.

Upcoming Artificial Intelligence Course Batches for Ranchi Learners

Select a batch timing that fits your timetable. Live online batches are conducted in IST. Book a free demo session to preview the experience, or enroll in our upcoming weekend and weekday live batches — built for working professionals and students alike, with adaptable schedules and hands-on training.

Weekdays

Date Time Trainer Seats Left
16Oct 07:30 PM – 08:30 PM Mr. Irshad 01Seat
22Oct 02:00 PM – 03:00 PM Mr. Upendra Kumar Tiwari 02Seats
26Oct 10:30 AM – 11:30 AM Mr. Irshad 01Seat
30Oct 12:00 PM – 01:00 PM Mr. Upendra Kumar Tiwari 02Seats

Weekends

Date Time Trainer Seats Left
27Oct 03:00 PM – 05:00 PM Mr. Irshad 02Seats

8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.

Curriculum for Artificial Intelligence Training Course in Ranchi

Artificial Intelligence Course Syllabus in Ranchi

The syllabus is organised into 13 modules covering 183+ hours. The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.

Module 1: Artificial Intelligence Fundamentals — 10 Hours

  • Introduction to Artificial Intelligence and its scope
  • AI vs ML vs DL vs Data Science — how they relate
  • Real-world AI applications and industry use cases
  • AI ethics, bias and responsible AI overview
  • Overview of AI development lifecycle
  • Hands-on: setting up a Python AI development environment

Module 2: Python for Artificial Intelligence — 15 Hours

  • Python basics: variables, data types, operators, control flow
  • Functions, modules and packages
  • Data structures: lists, tuples, dictionaries, sets
  • File handling and exception handling
  • Object-oriented programming fundamentals
  • Hands-on: building Python scripts for data manipulation

Module 3: Mathematics & Statistics for AI — 12 Hours

  • Linear algebra: vectors, matrices, matrix operations
  • Calculus: derivatives, gradients, chain rule
  • Probability: distributions, Bayes theorem
  • Descriptive statistics: mean, median, variance, standard deviation
  • Inferential statistics and hypothesis testing
  • Hands-on: implementing statistical calculations in Python

Module 4: Data Preprocessing & Feature Engineering — 12 Hours

  • Data cleaning: handling missing values, outliers, duplicates
  • Data transformation: scaling, normalization, encoding
  • Feature selection and feature extraction techniques
  • Handling imbalanced datasets
  • Exploratory Data Analysis (EDA) with Pandas and Matplotlib
  • Hands-on: preprocessing a real dataset for ML

Module 5: Machine Learning Fundamentals — 15 Hours

  • What is machine learning: supervised, unsupervised, reinforcement
  • Bias-variance tradeoff and overfitting/underfitting
  • Train-test split, cross-validation
  • Linear regression and logistic regression
  • Decision trees and random forests
  • Hands-on: building your first ML model with Scikit-learn

Module 6: Supervised & Unsupervised Learning — 15 Hours

  • Classification algorithms: SVM, KNN, Naive Bayes
  • Ensemble methods: bagging, boosting, gradient boosting
  • Clustering: K-means, hierarchical clustering, DBSCAN
  • Dimensionality reduction: PCA, t-SNE
  • Association rules and anomaly detection
  • Hands-on: end-to-end classification and clustering projects

Module 7: Model Evaluation & Optimization — 10 Hours

  • Evaluation metrics: accuracy, precision, recall, F1, ROC-AUC
  • Confusion matrix and classification reports
  • Hyperparameter tuning: grid search, random search
  • Regularization: L1, L2, dropout
  • Model selection and comparison
  • Hands-on: optimizing a model for a real dataset

Module 8: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons and multi-layer neural networks
  • Activation functions: ReLU, sigmoid, tanh, softmax
  • Backpropagation and gradient descent
  • CNNs for image data, RNNs and LSTMs for sequences
  • Regularization techniques for deep networks
  • Hands-on: building a neural network with TensorFlow/Keras

Module 9: Natural Language Processing (NLP) — 12 Hours

  • Text preprocessing: tokenization, stemming, lemmatization
  • Bag of Words, TF-IDF, word embeddings (Word2Vec, GloVe)
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Sequence models and attention mechanisms
  • Hands-on: building an NLP pipeline with Python

Module 10: Computer Vision & Image AI — 12 Hours

  • Image fundamentals: pixels, channels, color spaces
  • Image preprocessing with OpenCV
  • Convolutional Neural Networks (CNNs) for image classification
  • Object detection: YOLO, SSD overview
  • Image segmentation and transfer learning
  • Hands-on: building an image classifier with PyTorch/OpenCV

Module 11: Generative AI & LLM Fundamentals — 15 Hours

  • Introduction to generative AI and large language models
  • Transformer architecture and attention mechanisms
  • Prompt engineering fundamentals
  • Fine-tuning vs RAG vs prompt-based approaches
  • Using OpenAI APIs and Hugging Face models
  • Hands-on: building a GenAI-powered application

Module 12: AI Applications, APIs & Deployment — 15 Hours

  • Building AI-powered web applications
  • Deploying ML models with FastAPI
  • Model serialization: pickle, joblib, ONNX
  • Containerization with Docker for AI apps
  • Cloud deployment basics for AI services
  • Hands-on: deploying an ML model as a REST API

Module 13: AI Projects & Industry Capstone — 25 Hours

  • End-to-end AI project design and problem framing
  • Data collection, cleaning, feature engineering for capstone
  • Model training, evaluation and optimization
  • Deployment and documentation of capstone project
  • Portfolio preparation and presentation
  • Interview preparation around capstone work
# Module Hours Tools
1 Artificial Intelligence Fundamentals 10 Python, Jupyter Notebook
2 Python for Artificial Intelligence 15 Python, Jupyter Notebook, Git/GitHub
3 Mathematics & Statistics for AI 12 Python, NumPy, SciPy
4 Data Preprocessing & Feature Engineering 12 Pandas, NumPy, Matplotlib, Seaborn
5 Machine Learning Fundamentals 15 Scikit-learn, Pandas
6 Supervised & Unsupervised Learning 15 Scikit-learn, Matplotlib
7 Model Evaluation & Optimization 10 Scikit-learn, Seaborn
8 Deep Learning & Neural Networks 15 TensorFlow, Keras, PyTorch
9 Natural Language Processing (NLP) 12 NLTK, spaCy, Hugging Face
10 Computer Vision & Image AI 12 OpenCV, PyTorch, TensorFlow
11 Generative AI & LLM Fundamentals 15 OpenAI APIs, Hugging Face
12 AI Applications, APIs & Deployment 15 FastAPI, Docker, Git/GitHub
13 AI Projects & Industry Capstone 25 All tools
Total 183 Hours 15+ tools

Contacted by

IR

Mr. Irshad

Curriculum & Technical Reviewer

[8+ Years Of Experience]

Specialization: Artificial Intelligence, Machine Learning, Deep Learning

Get Your Artificial Intelligence Certification In Ranchi

What is Artificial Intelligence?

Artificial Intelligence is the area of computing dedicated to building systems that can learn patterns from data, reason over what they learn, and make predictions or decisions without being explicitly programmed for every scenario. Machine learning, deep learning, natural language processing, and computer vision are its core subfields. AI systems power recommendation engines, voice assistants, fraud detection, medical imaging analysis, and the generative AI tools now embedded in everyday software.

What does an AI engineer do? On a typical day, an AI engineer prepares and engineers data features, trains and evaluates ML/DL models, builds NLP or computer vision pipelines, integrates generative AI/LLM capabilities into applications, and deploys models via APIs. The role sits at the intersection of software engineering, statistics, and domain knowledge — which is why employers weight both coding ability and conceptual understanding during interviews.

Key Benefits of Our Artificial Intelligence Certification:

  • Program Completion :Provides a record of successful completion of the Artificial Intelligence program.
  • Online Verification :Certificate is verifiable online at certificate.uncodemy.com.
  • Practical Learning :Training includes hands-on ML/DL/NLP/CV projects and an industry capstone.

This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com
IIBA Endorsed Education Provider certificate — Uncodemy
Uncodemy Artificial Intelligence Program Certificate
Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Uncodemy keeps teaching and independent academic review separate. Trainers conduct the live classes, while domain reviewers confirm the syllabus stays accurate and relevant without instructing the batch. For this Data Science program, Mr. Upendra Kumar Tiwari reviews the technical content, adding a distinct quality check alongside classroom delivery.

The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.

Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.

Enroll in Our Artificial Intelligence Training for Ranchi Learners Today!

Register today for Uncodemy's Artificial Intelligence course built for Ranchi learners! Develop hands-on skills in Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-led live online sessions, practical labs and a 25-hour industry capstone. Begin your AI career quest with methodical training and committed career preparation.

AI Engineer Jobs and Career Scope in Ranchi+

Ranchi's growing technology ecosystem — covering IT services, product companies, fintech, SaaS, healthcare and manufacturing-tech — is progressively adopting AI and machine learning solutions. Companies across Ranchi, the Tatisilwai industrial area, and surrounding zones are building data-driven products, and they need engineers who comprehend machine learning fundamentals, deep learning architectures and deployment pipelines. BFSI and healthcare organisations in Jharkhand have expanding AI needs around predictive analytics, document processing and intelligent automation. Interviews for AI/ML roles in Ranchi tend to emphasise machine learning fundamentals, coding rounds, and project portfolio depth most heavily. Candidates with strong Python skills, a credible capstone project and clear conceptual understanding are well-positioned for these roles.

Job Roles After This Course+

AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer are the roles this course maps to. Each role involves building AI systems, but they differ in the specific AI components and tools used.
Role Core Tools
AI Engineer Python, Scikit-learn, TensorFlow
Machine Learning Engineer Python, Scikit-learn, Pandas, NumPy
Deep Learning Engineer TensorFlow, Keras, PyTorch
Computer Vision Engineer OpenCV, PyTorch, TensorFlow
NLP Engineer (Junior) NLTK, spaCy, Hugging Face
Generative AI Engineer OpenAI APIs, Hugging Face, LangChain
Most graduates start as an AI Engineer, Machine Learning Engineer or Junior NLP Engineer and move into the others with two to four years of experience, as they build depth in a specific AI domain. Progression typically involves owning larger ML/DL programs, leading model deployment initiatives, and specialising in computer vision, NLP or generative AI.

AI Engineer Salary in Ranchi — Role-wise+

Salaries in Ranchi vary by experience level, sector and how strong your AI/ML skills are. The gap between the lowest and highest earners at the same title is often wider than freshers expect.
Role Salary Range
Entry-Level AI Engineer ₹4–8 LPA
Machine Learning Engineer ₹6–12 LPA
AI/ML Engineer ₹8–16 LPA
Deep Learning Engineer ₹8–18 LPA
Generative AI Engineer ₹8–18 LPA
Computer Vision Engineer ₹7–16 LPA
Senior AI Engineer ₹15–28 LPA
AI Solutions Architect ₹20–35 LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026.

Salary ranges are indicative market ranges and should not be presented as guaranteed placement outcomes. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Sectors Hiring AI Talent in Ranchi+

Uncodemy partners with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Ranchi specifically, AI/ML demand is emerging in:
  • IT services and global capability centres — building AI-driven products, automation and intelligent document processing systems
  • Product companies and SaaS startups — building ML-powered features, recommendation engines and predictive analytics
  • BFSI and fintech — credit scoring, fraud detection, risk modelling and regulatory compliance analytics
  • Healthcare and life sciences — diagnostic imaging, patient data analytics and research pipelines
  • Manufacturing and industrial tech — predictive maintenance, quality inspection and industrial automation in Jharkhand's manufacturing belt
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your capstone project toward the one or two sectors you're most interested in.

How to Become an AI Engineer — Step by Step+

Becoming an AI engineer is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job.
  • Python fundamentals— variables, data structures, functions, OOP and file handling for AI work.
  • Math & statistics— linear algebra, calculus, probability and descriptive statistics for ML.
  • Data preprocessing— cleaning, scaling, encoding, feature engineering and EDA with Pandas.
  • Machine learning fundamentals— supervised, unsupervised learning, model evaluation and optimization.
  • Deep learning— neural networks, CNNs, RNNs, backpropagation and regularization.
  • NLP & computer vision— text preprocessing, embeddings, image classification and object detection.
  • GenAI, deployment & capstone— LLM fundamentals, FastAPI deployment, Docker and the industry project.
Typical timeline: 5–6 months of consistent study to reach interview-ready standard, assuming focused hours most days rather than occasional binge sessions.

How This Course Compares to Other AI Courses+

Ranchi has dozens of AI training options at very different price points, ranging from short weekend workshops to multi-month bootcamps. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration 5–6 months
Learning hours 183+
Live sessions 110+
Tools 15+
Capstone 25-hour Industry project
Career support Dedicated Career & Placement Assistance
Compared to Uncodemy's LLM Engineering course (5–6 months, focused on building, fine-tuning and deploying LLM-powered applications) and RAG Engineering course (5–6 months, focused on retrieval-grounded AI systems), this Artificial Intelligence program is the broader, more foundational course. It covers ML, DL, NLP and computer vision alongside GenAI/LLM fundamentals, making it the right fit if you want a full AI/ML career transition. If you already know GenAI/LLM basics and want only narrow LLM application development, LLM Engineering is a closer match. If you want narrow retrieval-system specialisation, RAG Engineering is a closer match. If you are focused purely on AI security, AI Security is the more specialised program.

Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick AI awareness rather than a full career transition, a shorter program may suit you better, and it's worth being honest with yourself about which of the two you actually need.

Why Live Online for Ranchi Learners?+

Ranchi learners join this Artificial Intelligence program fully live online — the same trainers, curriculum, batches and capstone experience as Uncodemy's classroom programs. Live online gives you the same instructor-led experience with zero commute, and all sessions are recorded for revision. In-person classroom training remains available at Uncodemy's Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) centres for learners who can travel. For Ranchi-based working professionals and students, live online is usually the most practical choice — you get real-time doubt clearing, hands-on labs and lifetime access to recordings without travelling. Uncodemy does not have a physical classroom in Ranchi, and this page does not claim one.

Is this course right for you?+

If you want... Recommend
Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI This program
Already know GenAI/LLM basics, want ML/DL fundamentals too This program
Narrow LLM application development only Consider LLM Engineering course instead
Narrow retrieval-system specialisation Consider RAG Engineering course instead

Frequently Asked Questions

1. What is the duration of the Artificial Intelligence course in Ranchi?▼

The course duration spans 5–6 months, featuring 110+ live sessions and 183+ hours of study. Learners may select from weekday or weekend batch options.

2. Do I need prior Python or ML experience?▼

No prior Python or ML experience is required. Python is taught from Module 2 onward, and basic math/statistics comfort is built up in Module 3. A graduate degree in any discipline is sufficient.

3. What tools are covered in this course?▼

15 tools including Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.

4. Does the course cover Deep Learning, NLP and Computer Vision?▼

Yes. Module 8 covers Deep Learning & Neural Networks (15 hours), Module 9 covers Natural Language Processing (12 hours), and Module 10 covers Computer Vision & Image AI (12 hours).

5. What is the capstone project?▼

The capstone is Module 13: AI Projects & Industry Capstone (25 hours). You build an end-to-end AI project applying ML/DL concepts, deployment and real-world problem solving.

6. Are the classes live or pre-recorded?▼

All 110+ sessions are live and instructor-led, with recordings available afterwards for revision.

7. What is the fee for the Artificial Intelligence course in Ranchi?▼

The program fee is ₹24,500 plus 18% GST. Total fee is ₹28,910. The same fee applies in all modes and cities.

8. Are EMI options available?▼

EMI starts from ₹4,818 per month for 6 months. The exact amount, tenure and eligibility depend on the applicable payment or financing option — a counsellor can confirm your plan.

9. Is there a demo or trial class before I enrol?▼

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?▼

We provide Dedicated Career & Placement Assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment.

11. Can I get an entry-level AI Engineer role after this course?▼

Entry-level AI Engineer roles in the market range around ₹4–8 LPA (indicative). Outcomes vary by skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

12. What is the salary of an AI Engineer in Ranchi?▼

Indicative market ranges: Entry-Level AI Engineer ₹4–8 LPA, Machine Learning Engineer ₹6–12 LPA, AI/ML Engineer ₹8–16 LPA, Deep Learning Engineer ₹8–18 LPA, Generative AI Engineer ₹8–18 LPA, Computer Vision Engineer ₹7–16 LPA, Senior AI Engineer ₹15–28 LPA, AI Solutions Architect ₹20–35 LPA. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary.

13. What job roles can I apply for after this course?▼

AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.

14. Who is eligible for this Artificial Intelligence course?▼

Graduates of any technical or non-technical discipline, working professionals transitioning into AI/ML roles, aspiring AI engineers, and career changers moving into artificial intelligence roles.

15. Are the salary, placement and review figures on this page guaranteed?▼

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package.

16. Does Uncodemy have a classroom centre in Ranchi?▼

No. Ranchi learners join this program live online. Uncodemy's classroom training centres are in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), for learners who can travel.

17. Is Uncodemy's Artificial Intelligence certificate affiliated with OpenAI, Google or Meta?▼

No. This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.

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  • Content written by:Mr. Rahul
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by:Mr. Irshad
  • Technical content verified by: Mr. Irshad
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  • Placement figures sourced from internal placement records
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