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Read More →Uncodemy's Artificial Intelligence certification extends across five to six months of instructor-led study, conducted wholly through live online delivery for Nagpur residents. The syllabus traverses Python, Machine Learning, Deep Learning, NLP, Computer Vision, along with Generative AI and LLM principles. Because Uncodemy maintains no bricks-and-mortar centre within Nagpur, the entire curriculum proceeds online — those preferring face-to-face instruction may attend the Delhi or Noida campuses. Tuition: ₹24,500 plus 18% GST, totalling ₹28,910. Instalment plans commencing at ₹4,818 monthly across six months*.
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
Individuals who finish Uncodemy's Artificial Intelligence curriculum acquire applied proficiency across Python, machine learning, deep learning, NLP, computer vision, and generative AI. Having completed both the training and career-readiness phase, suitable candidates can target positions such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer, and comparable roles. Placement statistics for Nagpur participants undergo periodic updates — authenticated results are published at uncodemy.com/placement.
Artificial Intelligence denotes the engineering discipline concerned with creating computational systems that identify patterns within data, apply reasoning to those patterns, and generate predictions or decisions without explicit programming for each circumstance. Machine learning, deep learning, natural language processing, and computer vision constitute its principal subdomains. AI-driven technologies underpin recommendation engines, virtual assistants, fraud detection platforms, medical imaging solutions, and the generative AI tools integrated throughout contemporary software.
What does an AI engineer do? Throughout a standard workday, an AI engineer performs data feature preparation and engineering, conducts ML/DL model training and assessment, constructs NLP or computer vision pipelines, incorporates generative AI/LLM functionality into software products, and delivers models through APIs. This occupation occupies the convergence of software development, statistical analysis, and domain expertise — explaining why employers evaluate both programming proficiency and conceptual comprehension during hiring.
Although these three Uncodemy programs have some common ground, each one offers a different level of coverage and follows its own focus. The following comparison shows them alongside each other.
| 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.
Uncodemy's Artificial Intelligence course provides a 5–6 month live virtual training experience consisting of 110+ instructor-guided sessions and 183+ hours of learning. The 13-module curriculum gradually covers essential AI ideas, Python, mathematical and statistical concepts, data preprocessing, machine learning basics, supervised and unsupervised learning, model evaluation, deep learning, neural networks, NLP, computer vision, generative AI and LLM fundamentals, practical AI use cases and deployment, followed by a 25-hour industry capstone. Real-world tools are used for practical work throughout the modules. For learners in Nagpur, the program is delivered through live online classes, with classroom learning also available at Uncodemy's Delhi and Noida centres for students who can commute or travel.
Who should join this course:
Eligibility: Anyone holding a graduation qualification from either a technical or non-technical stream may register. Programming experience is an advantage rather than a requirement, since Python is taught beginning with Module 2. A basic grasp of mathematics and statistics can help, and the relevant concepts are strengthened in Module 3. A personal laptop and stable internet access are required for practical coursework.
Pick a class timing that works well with your routine. Our live online batches follow IST timings. You can attend a free demo class before enrolling, or become part of the next weekday or weekend batch — planned for working professionals and students with adaptable schedules and hands-on practice.
| 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 | |
Learners who complete the complete set of 13 modules, finish the required assignments and submit the AI Projects & Industry Capstone project receive the Uncodemy Artificial Intelligence Program Certificate. It includes details such as the program name, course duration, technologies covered and completion date. Verification is available online at certificate.uncodemy.com, giving learners a formal record of completing the Uncodemy Artificial Intelligence program successfully.
The issued certificate reflects the practical learning carried out throughout the course, covering ML/DL/NLP/CV projects, data preprocessing activities and the 25-hour AI Projects & Industry Capstone project. Practical training includes 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
Through Uncodemy Edutech Pvt. Ltd., Uncodemy delivers career-driven IT education backed by more than 14 years of training experience. Learners in Nagpur can attend live online instructor-led classes, while classroom facilities are available in Delhi and Noida, giving students across India access to contemporary technology training.
The Artificial Intelligence course gives learners hands-on experience with machine learning models, deep learning applications, NLP techniques, computer vision systems and GenAI-based solutions, followed by a 25-hour industry capstone. Training progresses from preparing datasets and creating useful features to developing, testing, improving and deploying AI models through APIs.
Uncodemy's learning approach combines real-time trainer interaction with practical assignments, application based projects, interview-focused preparation and career guidance. Details about the available career assistance and its applicable boundaries are covered under the career support policy. The eligibility conditions are communicated before learners complete enrolment and payment.
Nagpur learners looking beyond Artificial Intelligence can explore other specialisations offered by Uncodemy, including LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs for Nagpur and Maharashtra 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
Uncodemy keeps the responsibilities of course teaching and independent academic checking separate. Trainers are responsible for delivering live instruction, while domain reviewers assess the syllabus independently to verify that the material remains technically sound and up to date. Mr. Upendra Kumar Tiwari reviews the technical aspects of this Data Science program, providing an additional quality-control stage beyond regular classroom teaching.
Students participating in the Nagpur batches are guided by the same faculty associated with the Noida and online learning options. Before enrolling, interested learners can request an opportunity to watch a section of an ongoing live class.
Details about the trainers and reviewers, including their expertise and professional experience, are made available by Uncodemy so learners can become familiar with the academic team before joining the program.
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.
Register for Uncodemy's Artificial Intelligence programme tailored for Nagpur participants today. Cultivate practical expertise spanning Python, machine learning, deep learning, NLP, computer vision and generative AI via instructor-guided live online sessions, practical laboratories and a 25-hour industry capstone. Launch your AI career trajectory with methodical training and committed career preparation.
| 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 is delivered over a period of 5–6 months and provides 183+ hours of learning through 110+ instructor-led sessions. Both weekday and weekend batch options are offered.
Students can begin without previous Python or ML knowledge. Python is introduced starting in Module 2, followed by essential mathematics and statistics in Module 3. A graduation degree from any discipline meets the stated eligibility.
The training introduces 15 tools, covering Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Deep Learning, NLP and Computer Vision are part of the curriculum. Module 8 allocates 15 hours to Deep Learning & Neural Networks, Module 9 gives 12 hours to Natural Language Processing, and Module 10 spends 12 hours on Computer Vision & Image AI.
The capstone forms Module 13, titled AI Projects & Industry Capstone, with 25 hours assigned to it. Learners develop an end-to-end AI project that brings together machine-learning/deep-learning concepts, deployment and practical problem-solving.
Classes are not pre-recorded as the primary format. More than 110 sessions are conducted live and led by instructors, while session recordings remain available afterwards for revision.
The listed course price is ₹24,500, before 18% GST. With GST included, the payable total is ₹28,910. The stated fee does not change between cities or learning modes.
Monthly EMI can start at ₹4,818 for a 6-month period. The applicable amount and tenure can differ depending on the financing or payment facility and the learner's eligibility; a counsellor can provide the exact plan.
Before joining, learners can take a demo session. This gives them a chance to understand the instructor's teaching method, meet the trainer and examine the curriculum. Demo booking can be arranged by contacting us.
Uncodemy offers Dedicated Career & Placement Assistance that includes help with resumes, LinkedIn profiles, portfolios, interview preparation and mock interviews, along with opportunities circulated through its 850+ company network. These services do not amount to an employment guarantee.
Entry-level AI Engineer positions may fall around ₹4–8 LPA as an indicative market range. Individual outcomes can be different because of skills, experience, employer and market conditions, and Uncodemy does not guarantee employment or a fixed salary.
Indicative ranges are ₹4–8 LPA for Entry-Level AI Engineer, ₹6–12 LPA for Machine Learning Engineer, ₹8–16 LPA for AI/ML Engineer, ₹8–18 LPA for Deep Learning Engineer, ₹8–18 LPA for Generative AI Engineer, ₹7–16 LPA for Computer Vision Engineer, ₹15–28 LPA for Senior AI Engineer and ₹20–35 LPA for AI Solutions Architect. Actual offers depend on the role, candidate skills, experience, employer and market conditions. No particular salary is guaranteed by Uncodemy.
After completing the course, learners may target roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
Eligibility includes graduates from both technical and non-technical disciplines, working professionals moving toward AI/ML, aspiring AI engineers and career changers seeking entry into artificial intelligence.
The salary, placement and review statistics come from Uncodemy's internal records together with information available on public review platforms. Results differ with learner skills, experience, location, employer and market conditions. Placement support is not a promise of employment or a specified salary package.
No classroom centre is listed in Nagpur. Learners from Nagpur participate through live online training. Physical classroom options are available at Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) for those who can travel.
The certificate is an independent Uncodemy credential. It is not affiliated with or endorsed by OpenAI, Google, Meta, or any other AI vendor whose frameworks or tools are covered during the course.
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5/5 (30+)
4.7/5 (500+)
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