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Read More →Join Uncodemy's 5–6 month instructor-led Artificial Intelligence course live online from Jaipur. The syllabus includes Python, machine learning, deep learning, NLP, computer vision, and generative AI and LLM fundamentals. Uncodemy has no classroom in Jaipur; in-person instruction is available at the Delhi and Noida centres. The fee is ₹24,500 plus 18% GST (₹28,910 total), with six-month EMI options from ₹4,818 monthly*.
Learn from 8+ years experienced professionals
Build real Artificial Intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Uncodemy's Artificial Intelligence course helps learners gain practical experience with Python, machine learning, deep learning, NLP, computer vision, and generative AI. With suitable preparation, graduates may apply for positions such as AI Engineer, Machine Learning Engineer, or Deep Learning Engineer. Placement records for Jaipur learners are updated regularly; see verified outcomes at uncodemy.com/placement.
Artificial Intelligence is about creating systems that identify patterns in data, reason from those patterns, and make predictions or decisions without needing specific instructions for every case. Its main branches include machine learning, deep learning, natural language processing, and computer vision. AI supports recommendation engines, voice assistants, fraud detection, medical-image analysis, and generative tools used in everyday software.
What does an AI engineer do? An AI engineer may prepare data and build features, train and assess ML/DL models, create NLP or computer-vision pipelines, incorporate generative AI and LLM features into applications, and deploy models using APIs. The role combines software development, statistics, and domain knowledge, so interviews often assess coding ability and conceptual understanding.
The three Uncodemy programs have some topics in common, while their depth and priorities differ. The comparison below highlights their focus.
| 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.
This 5–6 month Artificial Intelligence course is taught live online across 110+ sessions and more than 183 hours. Its 13 modules start with AI foundations and Python, then cover mathematics and statistics, data preparation, machine learning, model evaluation, deep learning and neural networks, NLP, computer vision, generative AI and LLM fundamentals, deployment, and a 25-hour industry capstone. Modules include hands-on practice with real tools. Jaipur learners attend online, with classroom training available at Uncodemy's Delhi and Noida centres.
Who should join this course:
Eligibility: Graduates from technical or non-technical disciplines may apply. Programming experience is helpful but not required because Python starts in Module 2. Module 3 builds the basic maths and statistics used later. Practical classes require a laptop and dependable internet.
Choose a class time that suits your schedule. Online batches follow IST. Attend a free demo to experience a lesson, then select an upcoming weekday or weekend batch. Flexible schedules and practical training support students and working professionals.
| 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 |
| 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.
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 | 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 | |
Completing all 13 modules, the assignments, and the AI Projects & Industry Capstone earns learners the Uncodemy Artificial Intelligence Program Certificate. It lists the program name, duration, tools covered, and completion date. The certificate can be verified at certificate.uncodemy.com as a record of course completion.
The credential reflects the practical work completed, including ML/DL/NLP/CV projects, data preparation exercises, and the 25-hour AI Projects & Industry Capstone. Learners use Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub, and FastAPI.
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_2.webp)
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy Edutech Pvt. Ltd. operates Uncodemy, an IT training institute focused on career development. The organisation has 14+ years of training experience, classroom centres in Delhi and Noida, and live online classes for learners across India, including Jaipur. Its instructors teach emerging technologies.
In this Artificial Intelligence course, learners create machine-learning models, deep-learning projects, NLP and computer-vision pipelines, generative-AI applications, and a 25-hour industry capstone. Training covers the development lifecycle, from preparing data and engineering features to model training, evaluation, optimisation, and API deployment.
The course also includes instructor-led classes, practical assignments, project work, interview preparation, and career assistance. The career support policy explains what support is offered and its limits. Eligibility requirements are available before enrolment.
If you are still deciding on a direction, Uncodemy also runs LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Jaipur learners.
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.
The people who actually teach this course
At Uncodemy, instruction and independent academic review are separate roles. Trainers lead the live classes, while subject reviewers check that the syllabus is accurate and relevant without teaching the batch. This provides an extra quality check alongside course delivery.
The same faculty supports classes in Delhi, Noida, and online. Prospective learners may request to observe part of a live class before enrolling.
Uncodemy shares instructor and reviewer names, expertise, and professional backgrounds so learners can learn about the people associated with the course ahead of time.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Join Uncodemy's live online Artificial Intelligence course for Jaipur learners. Practise Python, machine learning, deep learning, NLP, computer vision, and generative AI through instructor-led lessons, hands-on labs, and a 25-hour industry capstone. Structured training and career preparation can help you take the next step toward AI work.
| 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 |
| 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 |
| 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 |
| 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 |
The course lasts 5–6 months, offering 183+ hours of learning over 110+ live sessions. Weekday and weekend batches are available.
You can enrol without previous Python or machine-learning experience. Python begins in Module 2, and Module 3 builds the basic maths and statistics needed for the course. Graduates from any discipline may apply.
The course covers 15 tools, including Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub, and FastAPI.
Yes. Deep Learning and Neural Networks are taught in Module 8 (15 hours), Natural Language Processing in Module 9 (12 hours), and Computer Vision and Image AI in Module 10 (12 hours).
Module 13 is the 25-hour AI Projects & Industry Capstone. You create an end-to-end project applying ML/DL concepts, deployment, and real-world problem-solving.
All 110+ sessions are taught live by instructors, and recordings are provided for later review.
Tuition is ₹24,500 plus 18% GST, bringing the total to ₹28,910. The same fee applies across cities and learning formats.
Six-month EMI plans start at ₹4,818 per month. The exact payment, term, and eligibility depend on the applicable payment or financing option; a counsellor can confirm the plan.
Yes. Attend a demo to experience the teaching style, meet a trainer, and review the curriculum before making a decision. Contact us to schedule one.
Dedicated Career & Placement Assistance includes resume and LinkedIn guidance, portfolio feedback, interview preparation, mock interviews, and opportunities shared from our network of 850+ companies. Employment is not guaranteed.
Indicative market pay for entry-level AI Engineer roles is around ₹4–8 LPA. Results vary with skills, experience, employer, and market conditions. Uncodemy does not promise a specific salary or employment outcome.
Indicative ranges are ₹4–8 LPA for Entry-Level AI Engineers, ₹6–12 LPA for Machine Learning Engineers, ₹8–16 LPA for AI/ML Engineers, ₹8–18 LPA for Deep Learning Engineers, ₹8–18 LPA for Generative AI Engineers, ₹7–16 LPA for Computer Vision Engineers, ₹15–28 LPA for Senior AI Engineers, and ₹20–35 LPA for AI Solutions Architects. Offers vary by role, skills, experience, employer, and market conditions. Uncodemy does not guarantee a specific salary.
Roles may include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer, and Generative AI Engineer.
The course is open to graduates from technical and non-technical disciplines, working professionals moving into AI/ML, aspiring AI engineers, and career changers entering artificial intelligence.
Statistics draw on Uncodemy's records and publicly available review-platform information. Placement and salary outcomes depend on each learner's skills, experience, location, employer, and market conditions. Career assistance does not promise employment or a particular salary package.
No. Learners in Jaipur attend online. Uncodemy's classroom centres are in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), for those able to travel.
No. Uncodemy issues this certificate independently. It is not affiliated with or endorsed by OpenAI, Google, Meta, or another AI vendor whose tools and frameworks are covered here, and it is not a credential from those providers.
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