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Read More →Uncodemy's Artificial Intelligence course is a 5–6 month live, instructor-led program conducted online for learners in Bhopal. The training includes Python, Machine Learning, Deep Learning, NLP, Computer Vision, and core concepts of Generative AI & LLMs. Uncodemy does not operate a physical centre in Bhopal — classes are conducted completely live online, while classroom training is offered at Uncodemy's Delhi and Noida centres for learners who are able to travel. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starts from ₹4,818/month for 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
Learners completing the Artificial Intelligence program at Uncodemy acquire practical skills in Python, machine learning, deep learning, NLP, computer vision and generative AI. Once training and career preparation are completed, eligible learners may apply for opportunities such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and related roles. Placement outcomes for Bhopal learners are updated regularly — view verified results at uncodemy.com/placement.
As the capital of Madhya Pradesh, Bhopal is emerging as a policy and administrative center for AI adoption in central India. Artificial Intelligence here is perceived as a transformative technology for governance, healthcare, and urban planning. The city's growing IT parks and government initiatives are fostering an environment where AI is used for everything from analyzing traffic patterns for smart city projects to developing chatbots for citizen grievance redressal systems.
What does an AI engineer do? An AI engineer in Bhopal might work closely with government agencies or private consultancies on civic tech projects. Their responsibilities include building data pipelines from various public sources, creating predictive models for resource allocation in hospitals, and developing NLP tools to analyze feedback in Hindi and English. The role demands a strong ethical compass, data privacy awareness, and the ability to communicate complex technical concepts to non-technical stakeholders.
While the three Uncodemy programs have common threads, their depth and focus vary considerably. This comparison is tailored for learners in Bhopal, helping them select a path that supports careers in governance, healthcare, and smart city initiatives.
| 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 Artificial Intelligence course is a 5–6 month live online learning program comprising 110+ live sessions and 183+ hours of instruction. The curriculum is arranged into 13 modules that progress from AI basics through 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. Every module features practical exercises using real tools. Bhopal learners attend the course completely live online, while classroom training is offered at Uncodemy's Delhi and Noida centres for those who can travel.
Who should join this course:
Eligibility: Any graduate from a technical or non-technical background can enroll. Programming knowledge is helpful but not required — Python training begins in Module 2. Basic mathematics and statistics comfort is beneficial and will be developed in Module 3. A laptop and stable internet connection are necessary for the practical components.
Choose a batch slot that aligns with your availability. Live online batches follow IST timings. Secure a free demo class to get a firsthand experience, or register for our upcoming weekend and weekday live batches — created for both working professionals and students, offering flexible schedules and hands-on training.
| 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 | |
Artificial Intelligence is the discipline of building systems that can learn patterns from data, reason over what they learn, and make predictions or decisions without being explicitly programmed for every scenario. Machine learning, deep learning, natural language processing, and computer vision constitute its core subfields. AI systems power 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.
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 is a career-driven IT training institute operated by Uncodemy Edutech Pvt. Ltd. With more than 14 years of training excellence, classroom centres in Delhi and Noida, and live online classes reaching learners across India including Bhopal, Uncodemy delivers instructor-led training for emerging technologies.
Within this Artificial Intelligence program, learners construct machine learning models, deep learning projects, NLP and computer vision pipelines, GenAI-integrated applications, and a 25-hour industry capstone project. The training encompasses the complete AI development lifecycle — from data preprocessing and feature engineering to model training, evaluation, optimization and deployment via APIs.
Beyond training, Uncodemy offers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it excludes — is set out in our career support policy, together with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Bhopal and Madhya Pradesh 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 ensures teaching and independent academic review stay separate. Trainers conduct the live classes, while domain reviewers make sure the syllabus remains accurate and relevant without teaching the batch. Mr. Upendra Kumar Tiwari assesses the technical content for this Data Science program, contributing a distinct 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.
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.
Enrol today in Uncodemy's Artificial Intelligence course designed for Bhopal learners! Master practical skills in Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-led live online classes, practical labs and a 25-hour industry capstone. Embark on your AI career path with organized training and dedicated career readiness.
| 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 program extends over 5–6 months, encompassing 110+ live sessions and 183+ hours of learning. Weekday and weekend batches are both made available.
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.
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. 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).
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.
All 110+ sessions are live and instructor-led, with recordings available afterwards for revision.
The program fee is ₹24,500 plus 18% GST. Total fee is ₹28,910. The same fee applies in all modes and cities.
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.
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.
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.
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.
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.
AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
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.
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.
No. Bhopal 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.
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.
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