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🔥 Most Popular in Patna

Artificial Intelligence Training Course in Patna by Uncodemy

Learners from Patna can enroll in Uncodemy's 5–6 month Artificial Intelligence program delivered through live, instructor-led online classes. The course curriculum covers Python, Machine Learning, Deep Learning, NLP, Computer Vision, and introductory Generative AI & LLM concepts. Uncodemy does not have a physical centre in Patna — training is provided fully online, while classroom sessions are available at Uncodemy's 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*
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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 Patna — 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 (Patna-wide); classroom available only at Uncodemy's Delhi & Noida centres
✅ Prior Coding:
"Not Required"
📜 Certificate:
Uncodemy Artificial Intelligence Program Certificate.
🗓️ Last Reviewed:
28 September 2026

List of Placed Students Trained by Uncodemy

Uncodemy's Artificial Intelligence course enables learners to gain practical expertise in Python, machine learning, deep learning, NLP, computer vision and generative AI. Following the training and career preparation, eligible learners may seek positions such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and other related roles. Placement records for Patna learners are updated regularly — visit uncodemy.com/placement to view verified outcomes.

What is Artificial Intelligence?

Patna, a historic city with a burgeoning youth population and IT sector, is witnessing a grassroots-level interest in Artificial Intelligence. AI is defined as the simulation of human intelligence in machines that are programmed to think and learn. In Patna, this technology is finding applications in edtech startups, local e-commerce, and digital health platforms, aiming to bridge the accessibility gap and provide smarter services to a vast and diverse population.

What does an AI engineer do? An AI engineer in Patna is often a versatile developer, building solutions for resource-constrained environments. A typical day could involve training a model to detect crop diseases from smartphone photos for farmers, developing a recommendation system for a local online store, or creating voice-based interfaces in Hindi for health information. The engineer must be resourceful, adept at optimizing models for low-power devices, and passionate about creating social impact.

Artificial Intelligence vs LLM Engineering vs RAG Engineering

These Uncodemy programs may look similar on the surface, but each targets different skill levels and career outcomes. For students in Patna, this side-by-side guide clarifies which program best fits the region's emerging edtech, e-commerce, and digital health sectors.

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 that includes 110+ live sessions and 183+ hours of learning. It is structured into 13 modules that cover AI basics, 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. Each module incorporates practical exercises with real tools. Patna learners receive the program fully live online, and classroom training is available at Uncodemy's Delhi and Noida centres for those who can travel.

Who should join this course:

  • Patna-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: A graduate in any discipline — technical or non-technical — is eligible. Programming fundamentals are advantageous but not compulsory — Python is taught from Module 2 onward. Basic math and statistics comfort is helpful and will be built up in Module 3. A laptop with stable internet is required for practical sessions.

Upcoming Artificial Intelligence Course Batches for Patna Learners

Find a batch timing that suits your daily schedule. Live online batches are available in IST timings. Book a free demo class to experience the training firsthand, or join our upcoming weekend and weekday live batches — designed for working professionals and students, with convenient timings and practical hands-on learning.

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 Patna

Artificial Intelligence Course Syllabus in Patna

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 Patna

What is Artificial Intelligence?

Artificial Intelligence is the branch of computer science that focuses on creating systems capable of learning from data, reasoning about that information, and making predictions or decisions without being explicitly programmed for each scenario. Its primary subfields are machine learning, deep learning, natural language processing, and computer vision. AI systems drive 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 separates teaching from independent academic review. Live classes are delivered by trainers, while domain reviewers ensure the syllabus stays accurate and relevant without teaching the batch. For this Data Science program, Mr. Upendra Kumar Tiwari reviews the technical content, adding a separate 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 Patna Learners Today!

Enrol in Uncodemy's Artificial Intelligence course for Patna learners today! Build practical skills in Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-led live online training, hands-on labs and a 25-hour industry capstone. Start your AI career journey with structured training and dedicated career preparation.

AI Engineer Jobs and Career Scope in Patna+

Patna's expanding technology ecosystem — covering IT services, product companies, fintech, SaaS, healthcare and manufacturing-tech — is progressively adopting AI and machine learning solutions. Enterprises across Patna, the Patliputra industrial area, and nearby zones are developing data-driven products, and they require engineers who understand machine learning fundamentals, deep learning architectures and deployment pipelines. BFSI and healthcare organisations in Bihar have increasing AI needs around predictive analytics, document processing and intelligent automation. Interviews for AI/ML roles in Patna 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 Patna — Role-wise+

Salaries in Patna 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 Patna+

Uncodemy collaborates 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 Patna 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 Bihar'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+

Patna 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 Patna Learners?+

Patna 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 Patna-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 Patna, 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 Patna?▼

The course spans 5–6 months and delivers 183+ hours of learning via 110+ live sessions. Both weekday and weekend batches are provided.

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 Patna?▼

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 Patna?▼

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 Patna?▼

No. Patna 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.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by:Mr. Rahul
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by:Mr. Irshad
  • Technical content verified by: Mr. Irshad
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:
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