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Read More →Uncodemy presents this Artificial Intelligence certification solely via live online instruction for candidates located in Mysuru, running over a five-to-six-month instructor-led period. Course content covers Python, Machine Learning, Deep Learning, NLP, Computer Vision, plus Generative AI and LLM basics. Since Uncodemy maintains no onsite campus within Mysuru, the full programme is conducted online — individuals preferring face-to-face classroom sessions may attend the Delhi or Noida premises. Charges: ₹24,500 plus 18% GST, adding up to ₹28,910. Monthly instalment plans begin at ₹4,818 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
Those who successfully complete Uncodemy's Artificial Intelligence curriculum acquire workplace-ready capability spanning Python, machine learning, deep learning, NLP, computer vision, and generative AI. Having finished both instruction and career-readiness preparation, eligible candidates may pursue roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer along with comparable positions. Placement records for Mysuru participants are updated periodically — verified outcomes are published at uncodemy.com/placement.
Artificial Intelligence denotes the engineering discipline centred on constructing computational systems that identify patterns within data, reason over discovered patterns, and generate predictions or choices without explicit programming tailored to each individual case. Machine learning, deep learning, natural language processing, and computer vision make up its primary subfields. Systems driven by AI underlie recommendation services, voice assistants, fraud-detection engines, medical imaging tools, and the generative AI utilities now stitched into daily software.
What does an AI engineer do? Through a typical working day, an AI engineer performs data-feature preparation and engineering, undertakes ML/DL model training and assessment, builds NLP or computer vision pipelines, integrates generative AI/LLM features into products, and dispatches models through APIs. The function rests at the meeting point of software engineering, statistical knowledge, and domain understanding — which is why employers evaluate both coding capability and conceptual grounding during hiring.
While the three Uncodemy programs include overlapping topics, their detailed coverage and learning focus are not the same. The comparison that follows brings their differences together.
| 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 is delivered over 5–6 months through live online instruction, including 110+ faculty-led sessions and 183+ hours of study. The 13-module learning plan moves learners step by step across AI fundamentals, Python, mathematics and statistics, data preprocessing, machine learning fundamentals, supervised and unsupervised algorithms, model evaluation, deep learning, neural networks, natural language processing, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and a concluding 25-hour industry capstone. Practical learning with industry-relevant tools forms part of the modules. For Mysuru learners, teaching is offered entirely through live online classes, with a classroom alternative at Uncodemy's Delhi and Noida centres for those willing and able to travel.
Who should join this course:
Eligibility: Graduates belonging to either technical or non-technical educational backgrounds are welcome to apply. Existing coding skills are useful but do not form a compulsory condition because Python is taught starting in Module 2. Basic mathematical and statistical knowledge is advantageous, and the necessary concepts are expanded upon in Module 3. A laptop with dependable internet connectivity is needed to participate in practical training.
Choose the class schedule that suits your routine best. Our live online batches are available in IST timings. Attend a complimentary demo class before you decide, or join the forthcoming weekday and weekend batches — designed to accommodate students and working professionals through flexible schedules and hands-on learning.
| 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 | |
Once all 13 learning modules have been completed, together with the assignments and AI Projects & Industry Capstone project, learners are presented with the Uncodemy Artificial Intelligence Program Certificate. It documents the program designation, training period, technologies covered and completion date. The credential is available for online verification at certificate.uncodemy.com and confirms successful completion of the Uncodemy Artificial Intelligence program.
Practical coursework forms the basis of the certificate, with learners completing ML/DL/NLP/CV projects, data preprocessing exercises and a 25-hour AI Projects & Industry Capstone project. Throughout this work, they 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, under Uncodemy Edutech Pvt. Ltd., provides career-oriented IT training with more than 14 years of instructional experience. Alongside its Delhi and Noida classroom centres, the institute conducts live online classes throughout India, giving learners based in Mysuru access to guided training in present-day technology domains.
Within the Artificial Intelligence course, learners practise machine learning, deep learning, natural language processing, computer vision and GenAI application development. A 25-hour industry capstone further connects the training with practical work, while the curriculum covers the journey from data preparation and feature engineering through model development, validation, optimisation and API deployment.
Students also receive live interaction with instructors, practical exercises, project-based exposure, interview preparation and career guidance. The career support policy sets out what this assistance covers and where its limitations apply. The eligibility conditions are shared in advance of enrolment rather than after payment.
Mysuru learners interested in exploring a different specialisation can choose from Uncodemy offerings such as LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs intended for Mysuru and Karnataka 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 uses separate roles for delivering instruction and reviewing course quality. Trainers conduct the live learning sessions, while independent domain reviewers check the syllabus for accuracy and current industry relevance without being responsible for teaching the batch. Mr. Upendra Kumar Tiwari provides the technical review for this Data Science program, offering an additional layer of curriculum validation.
Students attending the Mysuru batches learn under the same faculty framework available through the Noida and online modes. Anyone considering the program may request to experience a portion of a live class before completing the enrolment process.
Trainer and reviewer details are openly presented by Uncodemy, including their areas of expertise and professional backgrounds, helping learners identify the professionals associated with the course in advance.
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.
Secure your seat in Uncodemy's Artificial Intelligence programme designed for Mysuru participants today. Develop practical expertise spanning Python, machine learning, deep learning, NLP, computer vision and generative AI via instructor-led live online sessions, practical laboratories and a 25-hour industry capstone. Kick off your AI career journey with methodical instruction and dedicated 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 |
Learning is spread across 5–6 months, with the program providing 183+ hours through more than 110 live sessions. Both weekday and weekend schedules are available to learners.
You may enrol without having studied Python or Machine Learning before. Python is introduced in Module 2, and Module 3 builds comfort with the necessary maths and statistics. A graduate qualification in any discipline is sufficient.
The course covers a set of 15 tools: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Deep Learning, Natural Language Processing and Computer Vision are included. The allocation is 15 hours in Module 8 for Deep Learning & Neural Networks, 12 hours in Module 9 for NLP, and another 12 hours in Module 10 for Computer Vision & Image AI.
The 25-hour Module 13 serves as the AI Projects & Industry Capstone. It focuses on building an end-to-end AI project and applying ML/DL techniques, deployment knowledge and practical problem-solving.
The learning format is live rather than purely pre-recorded: 110+ instructor-led sessions are conducted live, with recordings supplied afterwards for revision.
The fee before tax is ₹24,500. With 18% GST, the overall amount becomes ₹28,910. The stated price is common across cities and learning formats.
An EMI option can begin at ₹4,818 monthly for 6 months. Exact financing conditions may differ, so the applicable monthly payment, tenure and eligibility should be confirmed with a counsellor.
A demo class can be attended before enrolment. It is intended to help you experience the trainer's method, review the curriculum and understand the learning environment before deciding. Contact us for a booking.
Dedicated Career & Placement Assistance includes assistance with resumes, LinkedIn optimisation, portfolio review, interview practice, mock interviews and job opportunities shared through the 850+ company network. It does not guarantee employment.
The indicative market range for an entry-level AI Engineer is ₹4–8 LPA. Salary and employment outcomes vary according to individual skills, experience, employer and market conditions, and Uncodemy does not guarantee a particular outcome.
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 may differ according to role, skills, experience, employer and market conditions. Uncodemy provides no salary guarantee.
Course completers can consider roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
Eligibility extends to graduates from technical and non-technical subjects, professionals moving into AI/ML positions, aspiring AI engineers and individuals making a career change toward artificial intelligence.
The page's statistics are based on Uncodemy internal records and publicly accessible review-platform information. Individual placement and salary results can differ based on skills, experience, location, employer and market conditions. Career support is not a guarantee of employment or a fixed package.
There is no Uncodemy classroom centre listed in Mysuru for this course. Learners in Mysuru can attend live online training, while physical classrooms are available in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) for those able to travel.
The certificate is solely an Uncodemy-issued credential. It is not affiliated with or endorsed by OpenAI, Google, Meta or another AI vendor whose frameworks and tools appear in the course.
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