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Read More →This Artificial Intelligence training from Uncodemy spans five to six months and is conducted through live online sessions for learners based in Bhubaneswar. The syllabus walks through Python, Machine Learning, Deep Learning, NLP, Computer Vision, plus Generative AI and LLM basics. Uncodemy does not operate a physical training facility in Bhubaneswar — the entire program is delivered live online, and classroom attendance is possible at the Delhi and Noida centres for candidates able to travel. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI plans starting at ₹4,818/month over 6 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
Graduates of Uncodemy's Artificial Intelligence program develop hands-on capability in Python, machine learning, deep learning, NLP, computer vision and generative AI. Following training and career preparation, qualified candidates can pursue roles including AI Engineer, Machine Learning Engineer, Deep Learning Engineer and related positions. Placement information for Bhubaneswar learners is refreshed on a regular basis — verified outcomes are available at uncodemy.com/placement.
Artificial Intelligence refers to the practice of constructing systems capable of detecting patterns in data, drawing reasoned conclusions from those patterns, and producing forecasts or choices without being hand-coded for each possible situation. Its principal branches include machine learning, deep learning, natural language processing, and computer vision. AI technologies drive recommendation systems, voice assistants, fraud detection engines, medical imaging tools, and the generative AI applications now woven into routine software.
What does an AI engineer do? In day-to-day work, an AI engineer cleans and engineers data features, trains and assesses ML/DL models, assembles NLP or computer vision pipelines, embeds generative AI/LLM functionality into products, and ships models through APIs. This position bridges software engineering, statistics, and subject-matter understanding — which is why hiring teams assess both programming skill and conceptual depth during interviews.
The three Uncodemy courses share a few common areas, while their level of detail and primary objectives vary. The comparison below presents their differences clearly.
| 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 structured as a 5–6 month live online learning program, featuring 110+ trainer-led classes and more than 183 learning hours. Across 13 modules, students progress through fundamental AI principles, Python programming, mathematics and statistics, data preparation, machine learning foundations, supervised and unsupervised methods, model assessment, deep learning, neural networks, NLP, computer vision, generative AI and LLM basics, AI implementation and deployment, and conclude with a 25-hour industry-focused capstone project. Hands-on exercises with practical tools are incorporated across the training. For Bhubaneswar learners, classes are conducted fully online in live mode, while learners who can travel may also attend classroom sessions at Uncodemy's Delhi and Noida centres.
Who should join this course:
Eligibility: Graduates from technical as well as non-technical disciplines are eligible to join the program. Previous programming experience can be helpful, although it is not compulsory because Python begins in Module 2. Familiarity with mathematics and statistics is beneficial, while the necessary topics are explained in greater depth during Module 3. Participants need a laptop along with a dependable internet connection for hands-on learning sessions.
Select a batch schedule according to your availability. Attend live online classes at IST-based timings. Start with a free demo session to experience the training, or enrol in the upcoming weekday and weekend batches — suitable for students as well as working professionals, offering convenient schedules and practical 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 | |
After successfully finishing all 13 modules, completing the assigned tasks and delivering the AI Projects & Industry Capstone project, learners are awarded the Uncodemy Artificial Intelligence Program Certificate. It mentions the course title, training duration, covered tools and date of completion. The certificate can be verified online through certificate.uncodemy.com and serves as documented proof of successful completion of the Uncodemy Artificial Intelligence program.
This certification is connected with the practical activities performed throughout the training, such as ML/DL/NLP/CV projects, data preparation tasks and the 25-hour AI Projects & Industry Capstone project. During the program, learners gain practical exposure to 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, operated by Uncodemy Edutech Pvt. Ltd., works as a career-oriented IT training institute. With over 14 years of training expertise, its physical learning centres in Delhi and Noida, along with instructor-led online classes offered throughout India — including Bhubaneswar — help learners build skills in modern technology fields.
Through the Artificial Intelligence program, participants gain practical exposure to machine learning, deep learning, natural language processing, computer vision, GenAI applications and a 25-hour industry capstone. The learning path follows the AI development lifecycle, starting from data preparation and feature engineering and moving towards model creation, evaluation, optimisation and API deployment.
Alongside the academic curriculum, Uncodemy includes live trainer-led classes, hands-on activities, project-oriented learning, interview preparation and career assistance. The extent and conditions of this assistance are governed by the career support policy, while the eligibility conditions are disclosed to learners before enrolment rather than after payment.
Those interested in a different technology track may also consider Uncodemy's LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs designed for Bhubaneswar and Odisha 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 follows a defined distinction between teaching responsibilities and independent course evaluation. Live sessions are handled by trainers, whereas domain reviewers independently examine the syllabus to ensure that the academic and technical material stays relevant and correct. For this Data Science program, Mr. Upendra Kumar Tiwari is responsible for reviewing the technical content, adding an independent quality layer to the learning process.
Learners joining the Bhubaneswar batches receive instruction from the same faculty supporting the Noida and online learning formats. Those considering the program can also ask to attend a portion of a live class before deciding to enrol.
Uncodemy makes trainer and reviewer information available, including their professional experience and areas of specialization, allowing learners to understand who is associated with the program before registration.
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 Artificial Intelligence course designed for Bhubaneswar learners today. Develop applied capability across Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-led live online sessions, practical lab work and a 25-hour industry capstone. Begin your AI career path with organised 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 Artificial Intelligence program is structured across 5–6 months, with more than 183 learning hours delivered through 110+ live classes. Learners can choose from weekday or weekend schedules.
No earlier knowledge of Python or Machine Learning is necessary. Python begins in Module 2, while Module 3 introduces the required mathematics and statistics fundamentals. Graduation in any stream is enough to join.
The curriculum works with 15 key tools and platforms: 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 covered in Module 8 for 15 hours, Natural Language Processing is taught in Module 9 for 12 hours, and Module 10 addresses Computer Vision & Image AI over 12 hours.
Module 13 is the AI Projects & Industry Capstone and carries 25 hours. It gives learners the opportunity to create a complete AI solution by combining ML/DL knowledge, deployment practices and practical problem-solving.
The 110+ classes are conducted live with an instructor. After the sessions, recordings are also provided so learners can revisit the material during revision.
The Artificial Intelligence program costs ₹24,500 plus 18% GST, making the total ₹28,910. This pricing remains the same regardless of the selected learning mode or city.
EMI plans begin at ₹4,818 per month over 6 months. The final monthly amount, repayment period and eligibility are determined by the applicable financing or payment arrangement, which a counsellor can confirm.
A demo class is available before enrolment. It allows you to experience the teaching approach, interact with the trainer and understand the curriculum before making an enrolment decision. Contact us to schedule a demo.
Dedicated Career & Placement Assistance is provided through support such as resume development, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and opportunities shared through a network of 850+ companies. Employment is not guaranteed.
Yes, the course can support preparation for entry-level AI Engineer opportunities. Indicative market compensation is around ₹4–8 LPA, although actual results depend on the learner's skills, experience, employer and prevailing market conditions. Uncodemy does not promise a particular salary or job.
Indicative market ranges include ₹4–8 LPA for an Entry-Level AI Engineer, ₹6–12 LPA for a Machine Learning Engineer, ₹8–16 LPA for an AI/ML Engineer, ₹8–18 LPA for a Deep Learning Engineer, ₹8–18 LPA for a Generative AI Engineer, ₹7–16 LPA for a Computer Vision Engineer, ₹15–28 LPA for a Senior AI Engineer and ₹20–35 LPA for an AI Solutions Architect. Actual compensation differs according to role, skills, experience, employer and market conditions, and Uncodemy does not guarantee a specific salary.
Possible roles include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
The course is suitable for graduates from technical as well as non-technical backgrounds, professionals shifting towards AI/ML careers, people targeting AI engineering roles and career changers entering artificial intelligence.
The figures presented are drawn from Uncodemy's internal records and information available through public review platforms. Placement and salary results can differ according to learner profile, skills, experience, location, employer and market conditions. Career and placement support should not be understood as a guarantee of employment or a fixed salary.
No. Learners in Bhubaneswar attend the Artificial Intelligence program through live online classes. Uncodemy's physical classroom centres are located in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), for learners able to travel to those locations.
No. The Artificial Intelligence certificate is issued independently by Uncodemy. It has no affiliation with, endorsement from, or credential status with OpenAI, Google, Meta or other AI vendors whose tools and frameworks are included in the curriculum.
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5/5 (30+)
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